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digital health technology --- virtual health care --- cardiology

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"Computational Intelligence in Healthcare Applications discusses a variety of techniques designed to represent, enhance and empower inter-domain research based on computational intelligence in healthcare. The book serves as a reference for the pervasive healthcare domain which takes into consideration new convergent computing and other applications. The book discusses topics such as mathematical modeling in medical imaging, predictive modeling based on artificial intelligence and deep learning, smart healthcare and wearable devices, and evidence-based predictive modeling. In addition, it discusses computer-aided diagnostic for clinical inferences and pervasive and ubiquitous techniques in healthcare."--

Artificial intelligence --- Medicine --- Medical applications. --- Data processing --- Digital Health --- Artificial Intelligence --- Models, Theoretical --- Digital Health. --- Artificial Intelligence. --- Models, Theoretical.

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The Thinking Healthcare System: Artificial Intelligence and Human Equity is the first comprehensive book detailing the historical, global, and technical trends shaping the evolution of the modern healthcare system into its final form—an AI-driven thinking healthcare system, structured and functioning as a global digital health ecosystem. Written by the world’s first triple doctorate trained physician-data scientist and ethicist, and author of three AI textbooks and over 350 scientific and ethics papers, this indispensable resource makes sense of how technology, economics, and ethics are already producing the future’s health system—and how to ensure it works for every patient, community, and culture in our globalized, digitalized, and divided world. Providing clear descriptions and concrete examples, this book brings together AI-accelerated digital health ecosystems, data architecture, cloud and edge computing, precision medicine, public health, telemedicine, patient safety, health political economics, multicultural global ethics, blockchain, and quantum health computing, among other topics. Healthcare and business executives, clinicians, researchers, government leaders, policymakers, and students in the fields of healthcare management, data science, medicine, public health, informatics, health and public policy, political economics, and bioethics will find this book to be a groundbreaking resource on how to create, nourish, and lead AI-driven health systems for the future that can think, adapt, and so care in a manner worthy of the world’s patients.

Artificial intelligence --- Medical informatics. --- Medical applications. --- Medical ethics. --- Ethics, Medical --- Artificial Intelligence --- Medical Informatics --- Digital Health --- Ethics, Medical. --- Artificial Intelligence. --- Medical Informatics. --- Digital Health.

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Diabetes Mellitus. --- Diabetes Insipidus --- Glucose Intolerance --- diabetes --- endocrinology --- digital health --- medical informatics --- biomedical engineering --- Pathological endocrinology --- Diabetes --- Alternative treatment.

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Medical Informatics. --- Public Health Informatics. --- Africa. --- Informatics, Public Health --- Computer Science, Medical --- Health Informatics --- Health Information Technology --- Informatics, Clinical --- Informatics, Medical --- Information Science, Medical --- Clinical Informatics --- Medical Computer Science --- Medical Information Science --- Health Information Technologies --- Informatics, Health --- Information Technology, Health --- Medical Computer Sciences --- Medical Information Sciences --- Science, Medical Computer --- Technology, Health Information --- Computational Biology --- Biomedical Technology --- American Recovery and Reinvestment Act --- health informatics --- digital health --- telemedicine --- ehealth --- telehealth --- health informatics for development --- Medical Informatics --- Public Health Informatics --- Médecine --- Informatique. --- Africa --- Afrique. --- Eastern Hemisphere