Artificial Intelligence and Machine Learning in Health Care and Medical Sciences

This open access book provides a detailed review of the latest methods and applications of artificial intelligence (AI) and machine learning (ML) in medicine. With chapters focusing on enabling the reader to develop a thorough understanding of the key concepts in these subject areas along with a ran...

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Format: Online
Language:English
Published: Springer Nature 2024
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Online Access:ONIX_20240313_9783031393556_10
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collection Directory of Open Access Books
description This open access book provides a detailed review of the latest methods and applications of artificial intelligence (AI) and machine learning (ML) in medicine. With chapters focusing on enabling the reader to develop a thorough understanding of the key concepts in these subject areas along with a range of methods and resulting models that can be utilized to solve healthcare problems, the use of causal and predictive models are comprehensively discussed. Care is taken to systematically describe the concepts to facilitate the reader in developing a thorough conceptual understanding of how different methods and resulting models function and how these relate to their applicability to various issues in health care and medical sciences. Guidance is also given on how to avoid pitfalls that can be encountered on a day-to-day basis and stratify potential clinical risks. Artificial Intelligence and Machine Learning in Health Care and Medical Sciences: Best Practices and Pitfallsis a comprehensive guide to how AI and ML techniques can best be applied in health care. The emphasis placed on how to avoid a variety of pitfalls that can be encountered makes it an indispensable guide for all medical informatics professionals and physicians who utilize these methodologies on a day-to-day basis. Furthermore, this work will be of significant interest to health data scientists, administrators and to students in the health sciences seeking an up-to-date resource on the topic.
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spelling doab-20.500.12854ir-1356212025-07-18T09:46:33Z Artificial Intelligence and Machine Learning in Health Care and Medical Sciences Simon, Gyorgy J. Aliferis, Constantin Predictive analytics Artificial intelligence Medicine Machine learning Causal discovery Causal inference Genomics Medical knowledge discovery Clinical risk models Clinical risk stratification thema EDItEUR::M Medicine and Nursing::MB Medicine: general issues::MBG Medical equipment and techniques thema EDItEUR::U Computing and Information Technology::UB Information technology: general topics thema EDItEUR::M Medicine and Nursing::MQ Nursing and ancillary services thema EDItEUR::U Computing and Information Technology::UY Computer science thema EDItEUR::P Mathematics and Science::PS Biology, life sciences thema EDItEUR::M Medicine and Nursing::MB Medicine: general issues::MBN Public health and preventive medicine thema EDItEUR::M Medicine and Nursing::MB Medicine: general issues::MBG Medical equipment and techniques thema EDItEUR::U Computing and Information Technology::UB Information technology: general topics thema EDItEUR::M Medicine and Nursing::MQ Nursing and ancillary services thema EDItEUR::U Computing and Information Technology::UY Computer science thema EDItEUR::P Mathematics and Science::PS Biology, life sciences thema EDItEUR::M Medicine and Nursing::MB Medicine: general issues::MBN Public health and preventive medicine This open access book provides a detailed review of the latest methods and applications of artificial intelligence (AI) and machine learning (ML) in medicine. With chapters focusing on enabling the reader to develop a thorough understanding of the key concepts in these subject areas along with a range of methods and resulting models that can be utilized to solve healthcare problems, the use of causal and predictive models are comprehensively discussed. Care is taken to systematically describe the concepts to facilitate the reader in developing a thorough conceptual understanding of how different methods and resulting models function and how these relate to their applicability to various issues in health care and medical sciences. Guidance is also given on how to avoid pitfalls that can be encountered on a day-to-day basis and stratify potential clinical risks. Artificial Intelligence and Machine Learning in Health Care and Medical Sciences: Best Practices and Pitfallsis a comprehensive guide to how AI and ML techniques can best be applied in health care. The emphasis placed on how to avoid a variety of pitfalls that can be encountered makes it an indispensable guide for all medical informatics professionals and physicians who utilize these methodologies on a day-to-day basis. Furthermore, this work will be of significant interest to health data scientists, administrators and to students in the health sciences seeking an up-to-date resource on the topic. 2024-03-14T04:12:26Z 2024-03-14T04:12:26Z 2024-03-13T11:09:52Z 2024 book ONIX_20240313_9783031393556_10 OCN: 1425943134 https://library.oapen.org/handle/20.500.12657/88301 9783031393556 9783031393549 https://directory.doabooks.org/handle/20.500.12854/135621 eng Health Informatics open access image/jpeg image/jpeg image/jpeg n/a n/a n/a https://library.oapen.org/bitstream/20.500.12657/88301/1/978-3-031-39355-6.pdf https://library.oapen.org/bitstream/20.500.12657/88301/1/978-3-031-39355-6.pdf https://library.oapen.org/bitstream/20.500.12657/88301/1/978-3-031-39355-6.pdf Springer Nature Springer International Publishing 10.1007/978-3-031-39355-6 10.1007/978-3-031-39355-6 9fa3421d-f917-4153-b9ab-fc337c396b5a ea8fb1dd-6656-4566-8f9b-3aea90ff5e8a 9783031393556 9783031393549 Springer International Publishing 810 Cham [...] open access
spellingShingle Predictive analytics
Artificial intelligence
Medicine
Machine learning
Causal discovery
Causal inference
Genomics
Medical knowledge discovery
Clinical risk models
Clinical risk stratification
thema EDItEUR::M Medicine and Nursing::MB Medicine: general issues::MBG Medical equipment and techniques
thema EDItEUR::U Computing and Information Technology::UB Information technology: general topics
thema EDItEUR::M Medicine and Nursing::MQ Nursing and ancillary services
thema EDItEUR::U Computing and Information Technology::UY Computer science
thema EDItEUR::P Mathematics and Science::PS Biology, life sciences
thema EDItEUR::M Medicine and Nursing::MB Medicine: general issues::MBN Public health and preventive medicine
thema EDItEUR::M Medicine and Nursing::MB Medicine: general issues::MBG Medical equipment and techniques
thema EDItEUR::U Computing and Information Technology::UB Information technology: general topics
thema EDItEUR::M Medicine and Nursing::MQ Nursing and ancillary services
thema EDItEUR::U Computing and Information Technology::UY Computer science
thema EDItEUR::P Mathematics and Science::PS Biology, life sciences
thema EDItEUR::M Medicine and Nursing::MB Medicine: general issues::MBN Public health and preventive medicine
Artificial Intelligence and Machine Learning in Health Care and Medical Sciences
title Artificial Intelligence and Machine Learning in Health Care and Medical Sciences
title_full Artificial Intelligence and Machine Learning in Health Care and Medical Sciences
title_fullStr Artificial Intelligence and Machine Learning in Health Care and Medical Sciences
title_full_unstemmed Artificial Intelligence and Machine Learning in Health Care and Medical Sciences
title_short Artificial Intelligence and Machine Learning in Health Care and Medical Sciences
title_sort artificial intelligence and machine learning in health care and medical sciences
topic Predictive analytics
Artificial intelligence
Medicine
Machine learning
Causal discovery
Causal inference
Genomics
Medical knowledge discovery
Clinical risk models
Clinical risk stratification
thema EDItEUR::M Medicine and Nursing::MB Medicine: general issues::MBG Medical equipment and techniques
thema EDItEUR::U Computing and Information Technology::UB Information technology: general topics
thema EDItEUR::M Medicine and Nursing::MQ Nursing and ancillary services
thema EDItEUR::U Computing and Information Technology::UY Computer science
thema EDItEUR::P Mathematics and Science::PS Biology, life sciences
thema EDItEUR::M Medicine and Nursing::MB Medicine: general issues::MBN Public health and preventive medicine
thema EDItEUR::M Medicine and Nursing::MB Medicine: general issues::MBG Medical equipment and techniques
thema EDItEUR::U Computing and Information Technology::UB Information technology: general topics
thema EDItEUR::M Medicine and Nursing::MQ Nursing and ancillary services
thema EDItEUR::U Computing and Information Technology::UY Computer science
thema EDItEUR::P Mathematics and Science::PS Biology, life sciences
thema EDItEUR::M Medicine and Nursing::MB Medicine: general issues::MBN Public health and preventive medicine
topic_facet Predictive analytics
Artificial intelligence
Medicine
Machine learning
Causal discovery
Causal inference
Genomics
Medical knowledge discovery
Clinical risk models
Clinical risk stratification
thema EDItEUR::M Medicine and Nursing::MB Medicine: general issues::MBG Medical equipment and techniques
thema EDItEUR::U Computing and Information Technology::UB Information technology: general topics
thema EDItEUR::M Medicine and Nursing::MQ Nursing and ancillary services
thema EDItEUR::U Computing and Information Technology::UY Computer science
thema EDItEUR::P Mathematics and Science::PS Biology, life sciences
thema EDItEUR::M Medicine and Nursing::MB Medicine: general issues::MBN Public health and preventive medicine
thema EDItEUR::M Medicine and Nursing::MB Medicine: general issues::MBG Medical equipment and techniques
thema EDItEUR::U Computing and Information Technology::UB Information technology: general topics
thema EDItEUR::M Medicine and Nursing::MQ Nursing and ancillary services
thema EDItEUR::U Computing and Information Technology::UY Computer science
thema EDItEUR::P Mathematics and Science::PS Biology, life sciences
thema EDItEUR::M Medicine and Nursing::MB Medicine: general issues::MBN Public health and preventive medicine
url ONIX_20240313_9783031393556_10