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dc.contributor.editorSimon, Gyorgy J.
dc.contributor.editorAliferis, Constantin
dc.description.abstractThis 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.
dc.relation.ispartofseriesHealth Informatics
dc.rightsopen access
dc.subject.otherPredictive analytics
dc.subject.otherArtificial intelligence
dc.subject.otherMachine learning
dc.subject.otherCausal discovery
dc.subject.otherCausal inference
dc.subject.otherMedical knowledge discovery
dc.subject.otherClinical risk models
dc.subject.otherClinical risk stratification
dc.subject.otherthema EDItEUR::M Medicine and Nursing::MB Medicine: general issues::MBG Medical equipment and techniques
dc.subject.otherthema EDItEUR::U Computing and Information Technology::UB Information technology: general topics
dc.subject.otherthema EDItEUR::M Medicine and Nursing::MQ Nursing and ancillary services
dc.subject.otherthema EDItEUR::U Computing and Information Technology::UY Computer science
dc.subject.otherthema EDItEUR::P Mathematics and Science::PS Biology, life sciences
dc.subject.otherthema EDItEUR::M Medicine and Nursing::MB Medicine: general issues::MBN Public health and preventive medicine
dc.titleArtificial Intelligence and Machine Learning in Health Care and Medical Sciences
dc.title.alternativeBest Practices and Pitfalls
oapen.imprintSpringer International Publishing

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open access
Except where otherwise noted, this item's license is described as open access