Feedback

X
Artificial Intelligence and Machine Learning in Health Care and Medical Sciences

Artificial Intelligence and Machine Learning in Health Care and Medical Sciences

0 Ungluers have Faved this Work
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.

This book is included in DOAB.

Why read this book? Have your say.

You must be logged in to comment.

Rights Information

Are you the author or publisher of this work? If so, you can claim it as yours by registering as an Unglue.it rights holder.

Downloads

This work has been downloaded 22 times via unglue.it ebook links.
  1. 22 - pdf (CC BY-NC-ND) at Unglue.it.

Keywords

  • artificial intelligence
  • Biology, Life Sciences
  • causal discovery
  • causal inference
  • Clinical risk models
  • Clinical risk stratification
  • Computer science
  • Computing & information technology
  • Genomics
  • Information technology: general issues
  • Machine learning
  • Mathematics & science
  • Medical equipment & techniques
  • Medical knowledge discovery
  • medicine
  • Medicine: General Issues
  • Nursing & ancillary services
  • Predictive analytics
  • Public health & preventive medicine
  • thema EDItEUR::M Medicine and Nursing::MB Medicine: general issues::MBG Medical equipment and techniques
  • thema EDItEUR::M Medicine and Nursing::MB Medicine: general issues::MBN Public health and preventive medicine
  • thema EDItEUR::M Medicine and Nursing::MQ Nursing and ancillary services
  • thema EDItEUR::P Mathematics and Science::PS Biology, life sciences
  • thema EDItEUR::U Computing and Information Technology::UB Information technology: general topics
  • thema EDItEUR::U Computing and Information Technology::UY Computer science

Links

DOI: 10.1007/978-3-031-39355-6

Editions

edition cover

Share

Copy/paste this into your site: