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Artificial Intelligence and Machine Learning in Health Care and Medical Sciences Best Practices and Pitfalls

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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Bibliographic Details
Other Authors: Simon, Gyorgy J. (Editor), Aliferis, Constantin (Editor)
Format: eBook
Language:English
Published: Cham Springer International Publishing 2024, 2024
Edition:1st ed. 2024
Series:Health Informatics
Subjects:
Health Informatics
Public Health
Bioinformatics
Medical Informatics
Health Care
Medical Care
Online Access:
Collection: Springer eBooks 2005- - Collection details see MPG.ReNa
Table of Contents:
  • Predictive Analytics
  • Machine Learning
  • Artificial Intelligence
  • Data Mining
  • Clinical Risk Models
  • Clinical Risk Stratification
  • Data Science
  • Causal Discovery
  • Causal Inference
  • Causal Discovery in Health Sciences
  • Causal Inference In Health Sciences
  • Ehr Data Analytics
  • Medical Knowledge Discovery
  • Biomedical Machine Learning
  • Biomedical Artificial Intelligence
  • Healthcare Machine Learning
  • Healthcare Artificial Intelligence
  • Translational Science Machine Learning
  • Machine Learning for Biological Discovery
  • Machine Learning in Bioinformatics
  • Machine Learning in Genomics

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