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

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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Detalles Bibliográficos
Otros Autores: Simon, Gyorgy J. editor (editor), Aliferis, Constantin. editor
Formato: Libro electrónico
Idioma:Inglés
Publicado: Cham : Springer International Publishing 2024.
Edición:1st ed. 2024.
Colección:Health Informatics,
Materias:
Medical informatics.
Medical care.
Bioinformatics.
Public health.
Health Informatics.
Health Care.
Public Health.
Ver en Biblioteca Universitat Ramon Llull:https://discovery.url.edu/permalink/34CSUC_URL/1im36ta/alma991009805098206719
Tabla de Contenidos:
  • 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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