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Artificial Intelligence and Machine Learning in Healthcare

This book reviews the application of artificial intelligence and machine learning in healthcare. It discusses integrating the principles of computer science, life science, and statistics incorporated into statistical models using existing data, discovering patterns in data to extract the information...

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Corporate Author: SpringerLink (Online service)
Other Authors: Saxena, Ankur. (Editor, http://id.loc.gov/vocabulary/relators/edt), Chandra, Shivani. (Editor, http://id.loc.gov/vocabulary/relators/edt)
Language:English
Published: Singapore : Springer Singapore : Imprint: Springer, 2021.
Edition:1st ed. 2021.
Subjects:
Bioinformatics.
Health care management.
Health services administration.
Medicine.
Artificial intelligence.
Health Care Management.
Medicine/Public Health, general.
Artificial Intelligence.
Online Access:https://doi.org/10.1007/978-981-16-0811-7
Table of Contents:
  • Chapter 1_Big Data Analytics and AI for Healthcare
  • Chapter 2_Genetics with Big Data and AI
  • Chapter 3_AI and Big Data for next-generation sequencing
  • Chapter 4_Artificial Intelligence for Computational Biology
  • Chapter 5_Artificial intelligence and machine learning in clinical development
  • Chapter 6_Big data analytics for personalized medicine
  • Chapter 7_Generating and Managing Healthcare data with AI
  • Chapter 8_Big Data and Artificial Intelligence for diseases
  • Chapter 9_Artificial Intelligence and Big Data for Public Health
  • Chapter 10_Biasness in Healthcare Big Data and Computational Algorithms
  • Chapter 11_AI and ML in Healthcare: An Ethical perspective.

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