Who are the authors of machine learning in Healthcare Informatics?
Rohit Rastogi, Mamta Saxena, Muskan Maheshwari, Priyanshi Garg, Muskan Gupta, Rajat Shrivastava et al. This unique book introduces a variety of techniques designed to represent, enhance and empower multi-disciplinary and multi-institutional machine learning research in healthcare informatics.
What is machine learning used for?
Since its advent, machine learning has been used in various applications, ranging from security services through face detection [ 2] to increasing efficiency and decreasing risk in public transportation [ 3, 4 ], and recently in various aspects of healthcare and biotechnology [ 5 - 10 ].
Can machine learning improve patient health?
This book shows how machine learning (ML) can be used to develop health intelligence to improve patient health, population health, and facilitating significant care-payer cost savings. This updated second edition covers ML algorithms and architecture design and the challenges of managing big data.
What is supervised machine learning in healthcare?
In healthcare, supervised machine learning approaches are widely implemented in disease prediction [ 26 ], identifying hospital outcomes [ 14 ], and image detection [ 27] to name a few. Another subtype of AI-based learning approaches is unsupervised learning, which is typically used to evaluate data and to cluster applications.
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