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Health Inequality and Development

by David Lawson Mark Mcgillivray Indranil Dutta

This book investigates issues related to health inequality with a particular interest on developing countries. It provides rigorous empirical work on both trends and causal factors behind health inequality, analyzes the implications of health deprivations on poverty traps and suggests practical policies which can be implemented.

Health Inequality: An Introduction to Concepts, Theories and Methods

by Mel Bartley Michelle Kelly-Irving

The persistence of stark health inequalities in today’s world is painfully clear to see, not least in the effects of the Covid-19 pandemic and falling life expectancy in many parts of the world. How can we advance our understanding of the full extent of health inequality, what drives it, and ways to address it? The third edition of this popular book closely examines the influence of social class, gender, and race/ethnicity (among other issues) on health in the light of broad macro-political contexts. The classic behavioural, psychosocial, and material approaches to health and their embodiment within a life-course perspective are introduced but, importantly, are also re-situated within the growing understanding of the commercial and political determinants of health. Bartley and Kelly-Irving draw on extensive new evidence that shows how the chances for everyone to lead a long and healthy life depend on where power lies to control health-damaging policies and introduce health-promoting ones. Health Inequality will continue to be essential reading for students taking courses in the sociology of health and illness, social policy and welfare, health sciences, public health and epidemiology and all those interested in understanding the consequences of social inequality for health.

Health Inequities in Conflict-affected Areas: Armed Violence, Survival and Post-Conflict Recovery in the Indo-Bhutan Borderlands

by Samrat Sinha Jennifer Liang

This book provides an insight into the issue of health inequity brought about by the violent conflict in Northeast India. While examining the deep vulnerabilities and loss of well-being suffered by families displaced by conflict in the Indo-Bhutan borderland region, the authors raise fundamental questions of accountability and the role of various stakeholders in providing humanitarian assistance to those affected by the conflict. It highlights for the reader the role played by conflict and armed violence in dismantling a functioning public health system and delineates the long-term barriers to post-conflict recovery. The book is written by those who have worked in implementing development and peacebuilding programs in the Bodoland Territorial Region (BTR) of Western Assam. The book especially brings to the fore the voices of those communities directly affected by conflict in Bodoland. The book is valuable to researchers, development practioners and policy makers. Given the unique format of the book, which includes a number of case studies, it is particularly useful for students of development, public health and allied disciplines such as international relations as well as peace and conflict studies.

Health Inequities in India

by T. K. Sundari Ravindran Rakhal Gaitonde

This timely contribution to the global literature on health inequities approaches the subject through a synthesis and analysis of relevant published literature on India. Amongst the BRICS countries, India ranks the lowest in the gender-gap index and has the highest poverty rate, and there is clear evidence that socio-economic inequalities have increased in India in the twenty-first century. These have direct impact on the health conditions of its peop≤ however, there has been relatively little concerted research attention on health inequities in India. This volume fills the gap by synthesizing research evidence since the year 2000 on the topic. This is perhaps the first volume on this topic of such scope and breadth. Its uniqueness lies in the synthesis of evidence across a range of axes of disadvantages within a single volume: socio-economic position, caste, gender, other socially constructed vulnerabilities such as disability, HIV status, migrant status; and health-system factors contributing to or mitigating inequities in health. Each core chapter not only summarizes research findings but also engages critically with the perspectives reflected in the chapters and proposes a framework for understanding the mechanisms through which health inequities result. This volume highlights and addresses research gaps in both methodology and content, and is valuable to researchers and students of public health and allied health disciplines, including the social sciences, and also to policy makers and donors.

Health Inequity Experienced by Australian Paediatric Patients: Empirical Analyses of Case Reports

by Vicki Xafis Amireh Fakhouri Kathryn Currow Stephen Brancatisano Wendy Bryan-Clothier

This book provides rare insight into how real children/adolescents’ lives unfold as a result of health inequity. The authors present the findings of empirical research into the health and social circumstances of 61 Australian children/adolescents, as reported by healthcare professionals who attended to their medical needs, revealing how healthcare professionals deal with health inequity on the ground. Profound inequities in the health and wellbeing of children/adolescents worldwide have been the focus of intense research for decades. The extent to which children/adolescents’ health and wellbeing is impacted by violence, poverty, their inability to access integrated healthcare services, parental and adolescent substance abuse, unemployment, poor living conditions, poor nutrition, a fractured social support network, disrupted education, and lack of transportation, is widely recognized. While essential, statistical analyses alone cannot reveal the faces of those experiencing health inequity. This work highlights the need for urgent coordinated action to address health inequity so that children and young people have a chance to lead a full life in good health. It is relevant to researchers and practitioners whose work relates to improving children and young people’s lives.“This book should be required reading for those who influence policies developed by all the sectors mentioned above and their funding and administrative bodies – and politicians in particular” (Anonymous Reviewer).

Health Informatics Data Analysis

by Dong Xu Fengfeng Zhou May D. Wang Yunpeng Cai

This book provides a comprehensive overview of different biomedical data types, including both clinical and genomic data. Thorough explanations enable readers to explore key topics ranging from electrocardiograms to Big Data health mining and EEG analysis techniques. Each chapter offers a summary of the field and a sample analysis. Also covered are telehealth infrastructure, healthcare information association rules, methods for mass spectrometry imaging, environmental biodiversity, and the global nonlinear fitness function for protein structures. Diseases are addressed in chapters on functional annotation of lncRNAs in human disease, metabolomics characterization of human diseases, disease risk factors using SNP data and Bayesian methods, and imaging informatics for diagnostic imaging marker selection. With the exploding accumulation of Electronic Health Records (EHRs), there is an urgent need for computer-aided analysis of heterogeneous biomedical datasets. Biomedical data is notorious for its diversified scales, dimensions, and volumes, and requires interdisciplinary technologies for visual illustration and digital characterization. Various computer programs and servers have been developed for these purposes by both theoreticians and engineers. This book is an essential reference for investigating the tools available for analyzing heterogeneous biomedical data. It is designed for professionals, researchers, and practitioners in biomedical engineering, diagnostics, medical electronics, and related industries.

Health Informatics in the Cloud

by Mark L. Braunstein

Despite its high cost, the US healthcare system produces relatively short life spans, and is wasteful, inefficient and has serious safety and quality issues. While other industries have surmounted similar challenges by transforming themselves through information technology, healthcare lags behind. Major reasons are that our approaches to care delivery and financial incentives were designed for a bygone era. Beyond that the technology offered to practitioners has often been overly expensive, poorly designed, overly proprietary, hard to implement and difficult to use. Spurred by a unique, one-time Federal stimulus and the new mobile, wireless and cloud technologies now available, this landscape is rapidly changing. To succeed going forward practitioners, and those interested in entering the field, need to understand the new driving forces and have a basic understanding of contemporary clinical informatics. Practitioners, in particular, need to understand the alternative technologies and approaches available for their use in individual patient care and more continuous management of their chronic disease patients. To efficiently meet these needs, this book provides an introduction to the rationale for care transformation through clinical informatics; its application to patient care outside of hospitals; and a look at its future. Key points are illustrated throughout by actual examples of open source and commercial health IT products and services. While written with practitioners and students entering the field of clinical informatics in mind, the book eschews technical terminology and is easily accessible by the lay reader not proficient in clinical medicine or information technology.

Health Informatics on FHIR: How HL7's API is Transforming Healthcare (Health Informatics)

by Mark L. Braunstein

This extensively revised textbook describes and defines the US healthcare delivery system, its many systemic challenges and the prior efforts to develop and deploy informatics tools to help overcome these problems. Now that electronic health record systems are widely deployed, the HL7 Fast Healthcare Interoperability standard is being rapidly accepted as the means to access and share the data stored in those systems and analytics is increasing being used to gain new knowledge from that aggregated clinical data, this book goes on to discuss health informatics from an historical perspective, its current state and likely future state. It then turns to some of the important and evolving areas of informatics including electronic healt\h records, clinical decision support,. population and public health, mHealth and analytics. Numerous use cases and case studies are employed in all of these discussions to help readers connect the technologies to real world challenges. Health Informatics on FHIR: How HL7's API is Transforming Healthcare is for introductory health informatics courses for health sciences students (e.g., doctors, nurses, PhDs), the current health informatics community, computer science and IT professionals interested in learning about the field and practicing healthcare providers. Though this textbook covers an important new technology, it is accessible to non-technical readers including healthcare providers, their patients or anyone interested in the use of healthcare data for improved care, public/population health or research.

Health Informatics on FHIR: How HL7's New API is Transforming Healthcare

by Mark L. Braunstein

This textbook begins with an introduction to the US healthcare delivery system, its many systemic challenges and the prior efforts to develop and deploy informatics tools to help overcome those problems. It goes on to discuss health informatics from an historical perspective, its current state and its likely future state now that electronic health record systems are widely deployed, the HL7 Fast Healthcare Interoperability standard is being rapidly accepted as the means to access the data stored in those systems and analytics is increasing being used to gain new knowledge from that aggregated clinical data. It then turns to some of the important and evolving areas of informatics including population and public health, mHealth and big data and analytics. Use cases and case studies are used in all of these discussions to help readers connect the technologies to real world challenges. Effective use of informatics systems and tools by providers and their patients is key to improving the quality, safety and cost of healthcare. With health records now digital, no effective means has existed for sharing them with patients, among the multiple providers who may care for them and for important secondary uses such as public/population health and research. This problem is a topic of congressional discussion and is addressed by the 21st Century Cures Act of 2016 that mandates that electronic health record (EHR) systems offer a patient-facing API. HL7’s Fast Healthcare Interoperability Resources (FHIR) is that API and this is the first comprehensive treatment of the technology and the many ways it is already being used. FHIR is based on web technologies and is thus a far more facile, easy to implement approach that is rapidly gaining acceptance. It is also the basis for a ‘universal health app platform’ that literally has the potential to foster innovation around the data in patient records similar to the app ecosystems smartphones created around the data they store. FHIR app stores have already been opened by Epic and Cerner, the two largest enterprise EHR vendors. Provider facing apps are already being explored to improve EHR usability and support personalized medicine. Medicare and the Veteran’s Administration have announced FHIR app platforms for their patients. Apple’s new IOS 11.3 features the ability for consumers to aggregate their health records on their iPhone using FHIR. Health insurance companies are exploring applications of FHIR to improve service and communication with their providers and patients. SureScripts, the national e-Prescribing network, is using FHIR to help doctors know if their patients are complying with prescriptions. This textbook is for introductory health informatics courses for computer science and health sciences students (e.g. doctors, nurses, PhDs), the current health informatics community, IT professionals interested in learning about the field and practicing healthcare providers. Though this textbook covers an important new technology, it is accessible to non-technical readers including healthcare providers, their patients or anyone interested in the use of healthcare data for improved care, public/population health or research.

Health Informatics: A Computational Perspective in Healthcare (Studies in Computational Intelligence #932)

by Ripon Patgiri Anupam Biswas Pinki Roy

This book presents innovative research works to demonstrate the potential and the advancements of computing approaches to utilize healthcare centric and medical datasets in solving complex healthcare problems. Computing technique is one of the key technologies that are being currently used to perform medical diagnostics in the healthcare domain, thanks to the abundance of medical data being generated and collected. Nowadays, medical data is available in many different forms like MRI images, CT scan images, EHR data, test reports, histopathological data and doctor patient conversation data. This opens up huge opportunities for the application of computing techniques, to derive data-driven models that can be of very high utility, in terms of providing effective treatment to patients. Moreover, machine learning algorithms can uncover hidden patterns and relationships present in medical datasets, which are too complex to uncover, if a data-driven approach is not taken. With the help of computing systems, today, it is possible for researchers to predict an accurate medical diagnosis for new patients, using models built from previous patient data. Apart from automatic diagnostic tasks, computing techniques have also been applied in the process of drug discovery, by which a lot of time and money can be saved. Utilization of genomic data using various computing techniques is another emerging area, which may in fact be the key to fulfilling the dream of personalized medications. Medical prognostics is another area in which machine learning has shown great promise recently, where automatic prognostic models are being built that can predict the progress of the disease, as well as can suggest the potential treatment paths to get ahead of the disease progression.

Health Informatics: A Systems Perspective, Second Edition (AUPHA/HAP Book)

by Gordon Brown

Instructor Resources: Authors’ responses to the chapter and case study discussion questions; guidance on how the case studies may be used; PowerPoint slides of the exhibits to supplement classroom discussions and lectures; and suggested activities for exploring chapter topics, including data sets. As the reach and influence of technology grow, the world becomes increasingly connected. What happens in one system—finance, manufacturing, research, infrastructure, supply chain, and many more—can have a significant impact on the activities and outcomes in other systems. Healthcare is no exception. Connecting all of these systems is vital in order to properly support clinical care. Health informatics has the potential to align these interlocking systems in a way that transforms clinical decision-making and healthcare delivery to optimize overall system performance. Health Informatics: A Systems Perspective takes a systems approach to leveraging information in healthcare and enhancing providers’ capabilities through the use of technology and knowledge transfer. The book offers a conceptual framework for aligning clinical decision processes with system infrastructures, including information technology, organizational design, financing, and evaluation. The book’s contributors—all leading academics and healthcare practitioners—balance theoretical viewpoints with practical considerations. Case studies and informative sidebars support theory with real-world applications, while learning objectives, key concepts, and discussion questions facilitate learning and reinforce content. A glossary, which defines the main concepts and key terminologies presented in the text, provides a useful overview of the material. Thoroughly updated and revised, the second edition includes three new chapters on information systems in relation to population health, global health systems, and alternative financial mechanisms and their compatibility with innovative delivery models. Additional topics include:The role of human resources and information technology in healthcareKnowledge-based decision-makingTransforming clinical work processesNursing informaticsPrecision medicineData and information securityAn essential resource for students and practicing managers alike, Health Informatics: A Systems Perspective explains how information technology can enable the transformation of health organizations to improve not only the quality of healthcare, but also the health of individuals and populations.

Health Informatics: An Interprofessional Approach

by Lynda R. Hardy

Health Informatics: An Interprofessional Approach, 3rd Edition, follows the tradition of expert informatics educators Ramona Nelson and Nancy Staggers with new lead author, Lynda R. Hardy, to prepare you for success in today’s technology-filled healthcare practice. Concise coverage includes information systems and applications, such as electronic health records, clinical decision support, telehealth, mHealth, ePatients, and social media tools, as well as system implementation. New to this edition are topics that include analytical approaches to health informatics, increased information on FHIR and SMART on FHIR, and the use of health informatics in pandemics.

Health Informatics: An Interprofessional Approach

by Ramona Nelson Nancy Staggers

Health Informatics: An Interprofessional Approach was awarded first place in the 2013 AJN Book of the Year Awards in the Information Technology/Informatics category. Get on the cutting edge of informatics with Health Informatics, An Interprofessional Approach. Covering a wide range of skills and systems, this unique title prepares you for work in today's technology-filled clinical field. Topics include clinical decision support, clinical documentation, provider order entry systems, system implementation, adoption issues, and more. Case studies, abstracts, and discussion questions enhance your understanding of these crucial areas of the clinical space. 31 chapters written by field experts give you the most current and accurate information on continually evolving subjects like evidence-based practice, EHRs, PHRs, disaster recovery, and simulation. Case studies and attached discussion questions at the end of each chapter encourage higher level thinking that you can apply to real world experiences. Objectives, key terms and an abstract at the beginning of each chapter provide an overview of what each chapter will cover. Conclusion and Future Directions section at the end of each chapter reinforces topics and expands on how the topic will continue to evolve. Open-ended discussion questions at the end of each chapter enhance your understanding of the subject covered.

Health Informatics: Multidisciplinary Approaches for Current and Future Professionals (HIMSS Book Series)

by Salvatore Volpe

"True wellness innovation requires the recruitment of multi-disciplinary participants. This book breaks the mold with examples from healthcare experts and other professionals who have leveraged informatics to better the lives of their constituents." — Jason Helgerson, Founder & CEO, Helgerson Solutions Group LLC Developed for those training in academic centers as well as for those already "out in the field," this book looks at how attorneys, behavioral health experts, business development experts, chief information officers, chief medical officers, chief nursing information officers, consumer advocates, cryptographic experts, futurists, geneticists, informaticists, managed care executives, nurses, pharmacists, physicians, public health professionals, software developers, systems security officers, and workforce experts are collaborating on a "team-based," IT-enabled approach to improve healthcare.

Health Informatics: Translating Information into Innovation (Translational Systems Sciences #24)

by Hironobu Matsushita

This book is the first to approach healthcare informatics from the perspective of innovation. Drawing on the unique pairing of information and innovation, it offers an analysis to help readers rethink information technology, knowledge management, interprofessional collaboration and the generation of wisdom in the context of healthcare.The concept of “translational” research stems from the medical and health sciences, and features bidirectional and recursive information-generation processes involving bed-to-bench and bench-to-bed approaches. Based partly on this, translational systems science has become a new trend within systems sciences, motivated by the need for practical applications that help people by offering holistic systems solutions for complex ideas. Today, numerous innovations are emerging in diversified clinical practices, and there has been a remarkable convergence of new technologies in disciplines like genome therapy, immunotherapy, iPS cells, imaging diagnosis, personalized medicine, molecular targeted drugs, surgical robots, and remote nursing. Innovation is also occurring in health management fields, including health records, insurance reimbursement methods, quality control, and safety. In these areas, big data and machine learning are accelerating innovation. Behind these innovations are the creation, sharing, bridging, and translation of data, information, knowledge, and wisdom, and as such health informatics is critical in promoting health innovations.The book explores the horizons of health informatics, introducing cutting-edge practical cases and theoretical frameworks, including but not limited to fields such as big data, machine learning, drug discovery, interprofessional collaboration, electronic health records, robotics, telenursing, quality improvement, and safety.

Health Information Management Case Studies

by Diana Foley

Health Information Management Case Studies

Health Information Management Technology An Applied Approach 5th Edition

by Leslie L. Gordon Nanette B. Sayles

Creates a blueprint for success in the health information management (HIM) field. Chapter content is expanded in the fifth edition to prepare students for transitional and changing roles in an electronic health information environment. All chapters are updated to reflect current HIM trends, practices, standards, and legal issues. Written by distinguished leaders in the field, this book guides students through two-year academic programs in preparation for the Registered Health Information Technician (RHIT) certification exam and beyond

Health Information Management: Concepts, Principles, and Practice

by American Health Information Management Association

Health Information Management: Concepts, Principles and Practice, Fifth Edition, is a textbook for students and healthcare professionals alike. <p><p> Proper management of health information is critical for the healthcare industry to advance and improve in areas of cost, access, and quality. Recognizing the pivotal role that health information plays when collected and stored accurately and completely so that it can then be analyzed to make critical clinical, financial, administrative and ethical decisions in healthcare is at the core of the health information management (HIM) profession. <p><p> This book offers content to assist students and professionals already working in the healthcare field to understand the value of quality information from the point of patient-specific data collection to the aggregation of that data to generate information that can then be utilized to increase knowledge and support decision-making. The content of this book is modeled after the current HIM curriculum and the RHIA exam domains. This book guides the path for excellence in four-year baccalaureate programs and identifies the critical competencies in the HIM discipline today. The text is a foundation for successfully executing curriculum requirements, a preparation guide for the RHIA exam, and a resource for practicing healthcare and health information professionals in a variety of roles. <p><p> Key Features: Organized to reflect current curriculum map for AHIMA and Commission on Accreditation for Health Informatics and Information Management Education (CAHIIM) accredited programs Foundational text for RHIA certification study New topics include data governance and stewardship, health data analytics, data visualization, clinical documentation improvement, consumer informatics, and data privacy and security Chapters contain new illustrations such as dashboard examples, the interoperability roadmap, a model of the learning health system, and a model for consumer health in

Health Information Management: Concepts, Principles, and Practice

by Pamela Oachs Watters

Health Information Management: Concepts, Principles, and Practice, Sixth Edition, is a textbook for students and healthcare professionals alike. <p><p> Proper management of health information is critical for the healthcare industry to advance and improve in areas of cost, access, and quality. The core of the health information management (HIM) profession is recognizing the pivotal role that health information plays when collected and stored accurately and completely so that it can then be analyzed to make critical clinical, financial, administrative, and ethical decisions in healthcare. <p><p> This book offers content to help students and professionals already working in the healthcare field understand the value of quality information from the point of patient-specific data collection to the aggregation of that data to generate information that can then be utilized to increase knowledge and support decision-making. The content of this book is modeled after the 2018 AHIMA HIM curricula competencies and the RHIA exam domains. This book sets the path for excellence in four-year baccalaureate programs and identifies the critical competencies in the HIM discipline today. The text is a foundation for successfully executing curriculum requirements, a preparation guide for the RHIA exam, and a resource for practicing healthcare and health information professionals in a variety of roles.

Health Information Management: Principles and Organization for Health Information Services (Jossey-Bass Public Health #19)

by Margaret A. Skurka

The Updated and Extensively Revised Guide to Developing Efficient Health Information Management Systems Health Information Management is the most comprehensive introduction to the study and development of health information management (HIM). Students in all areas of health care gain an unmatched understanding of the entire HIM profession and how it currently relates to the complex and continuously evolving field of health care in the United States. This brand-new Sixth Edition represents the most thorough revision to date of this cornerstone resource. Inside, a group of hand-picked HIM educators and practitioners representing the vanguard of the field provide fundamental guidelines on content and structure, analysis, assessment, and enhanced information. Fully modernized to reflect recent changes in the theory and practice of HIM, this latest edition features all-new illustrative examples and in-depth case studies, along with: Fresh and contemporary examinations of both electronic and print health records, data management, data privacy and security, health informatics and analytics, and coding and classification systems An engaging and user-friendly pedagogy, complete with learning objectives, key terms, case studies, and problems with workable solutions in every chapter Ready-to-use PowerPoint slides for lectures, full lesson plans, and a test bank for turnkey assessments A must-have resource for everyone in health care, Health Information Management, Sixth Edition, puts everything you need at your fingertips.

Health Information Processing. Evaluation Track Papers: 10th China Health Information Processing Conference, CHIP 2024, Fuzhou, China, November 15–17, 2024, Proceedings (Communications in Computer and Information Science #2458)

by Lei Liu Yanchun Zhang Hongfei Lin Tianyong Hao Xiangwen Liao Buzhou Tang Qingcai Chen Jianbo Lei Zuofeng Li Hui Zong Zhengxing Huang

This book constitutes the refereed proceedings of the 10th China Health Information Processing Conference, CHIP 2024, held in Fuzhou, China, November 15–17, 2024.The CHIP 2024 Evaluation Track proceedings include 19 full papers which were carefully reviewed and grouped into these topical sections: syndrome differentiation thought in Traditional Chinese Medicine; lymphoma information extraction and automatic coding; and typical case diagnosis consistency.

Health Information Processing. Evaluation Track Papers: 8th China Conference, CHIP 2022, Hangzhou, China, October 21–23, 2022, Revised Selected Papers (Communications in Computer and Information Science #1773)

by Lei Liu Fei Wu Hongfei Lin Tianyong Hao Buzhou Tang Qingcai Chen Yanshan Wang Haitian Wang Jianbo Lei Zuofeng Li Hui Zong

This book constitutes the papers presented at the Evaluation Track of the 8th China Conference on Health Information Processing, CHIP 2022, held in Hangzhou, China during October 21–23, 2022.The 20 full papers included in this book were carefully reviewed and selected from 20 submissions. They were organized in topical sections as follows: text mining for gene-disease association semantic; medical causal entity and relation extraction; medical decision tree extraction from unstructured text; OCR of electronic medical document; clinical diagnostic coding.

Health Information Processing. Evaluation Track Papers: 9th China Conference, CHIP 2023, Hangzhou, China, October 27–29, 2023, Proceedings (Communications in Computer and Information Science #2080)

by Lei Liu Fei Wu Hongfei Lin Tianyong Hao Buzhou Tang Qingcai Chen Jianbo Lei Zuofeng Li Hui Zong Hua Xu Zhengxing Huang

This book constitutes the refereed proceedings of the evaluation track of the 9th China Health Information Processing Conference, CHIP 2023, held in Hangzhou, China, during October 27–29, 2023. The 15 algorithms papers and 6 overview papers included in this book were carefully reviewed and selected from a total of 66 submissions to the conference. They were organized in topical sections as follows: CHIP-PromptCBLUE Medical Large Model Evaluation; Chinese Medical Text Few-shot Named Entity Recognition; Drug Paper Document Recognition and Entity Relation Extraction; CHIP-YIER Medical Large Model Evaluation; Medical Literature PICOS Identification; Chinese Diabetes Question Classification;

Health Information Processing: 10th China Health Information Processing Conference, CHIP 2024, Fuzhou, China, November 15–17, 2024, Proceedings, Part I (Communications in Computer and Information Science #2432)

by Lei Liu Yanchun Zhang Hongfei Lin Tianyong Hao Xiangwen Liao Buzhou Tang Qingcai Chen Zhengxing Huang

This two-volume set CCIS 2432-2433 constitutes the refereed proceedings of the 10th China Health Information Processing Conference, CHIP 2024, held in Fuzhou, China, during November 15–17, 2024. The 32 full papers included in this set were carefully reviewed and selected from 65 submissions. They are organized in topical sections as follows: biomedical data processing and model application; mental health and disease prediction; and drug prediction and knowledge map.

Health Information Processing: 10th China Health Information Processing Conference, CHIP 2024, Fuzhou, China, November 15–17, 2024, Proceedings, Part II (Communications in Computer and Information Science #2433)

by Lei Liu Yanchun Zhang Hongfei Lin Tianyong Hao Xiangwen Liao Buzhou Tang Qingcai Chen Zhengxing Huang

This two-volume set CCIS 2432-2433 constitutes the refereed proceedings of the 10th China Health Information Processing Conference, CHIP 2024, held in Fuzhou, China, during November 15–17, 2024. The 32 full papers included in this set were carefully reviewed and selected from 65 submissions. They are organized in topical sections as follows: biomedical data processing and model application; mental health and disease prediction; and drug prediction and knowledge map.

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