Machine Learning in Healthcare: Advances by Rishabha Malviya (.ePUB)+

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File Size: 26.1 MB

Machine Learning in Healthcare: Advances and Future Prospects by Rishabha Malviya, Niranjan Kaushik, Tamanna Rai, M.P. Saraswathy, Rajendra Awasthi
Requirements: .ePUB, .PDF reader, 26.1 MB
Overview: This new volume explores the integration of Machine Learning in healthcare, which has transformed technology for disease diagnosis, treatment, and management. The book shows the enormous possibilities made possible by computational technologies, ranging from analyzing electronic health information to predicting, detecting, and treating cancer, cardiovascular disease, thyroid disorders, and diabetes. The exploration extends beyond conventional domains, discussing topics such as wearable devices and mental health management through the use of Machine Learning technology. Numerous data mining algorithms have been developed because of extensive research in the field of data mining. These strategies can be directly applied to a dataset to construct models or extract valuable insights. In the area of data mining, commonly employed techniques include decision trees (DTs), naive bayes (NB), k-means, artificial neural networks (ANNs), and similar methodologies.
Genre: Non-Fiction > Tech & Devices

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