Machine Learning in Healthcare

Advances and Future Prospects

Explores the complex relationship between data science and medical science, highlighting the significant impact of machine learning algorithms in multiple areas of healthcare. Discusses topics such as wearable devices and mental health management through the use of machine learning technology.

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.

Contributor: Rishabha Malviya (Edited by), Niranjan Kaushik (Edited by), Tamanna Rai (Edited by), M. P. Saraswathy (Edited by), Rajendra Awasthi (Edited by)

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