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Machine learning and analytics in healthcare systems : principles and applications / edited by Bansal Himani, Balamurugan Balusamy, T. Poongodi, and Firoz Khan KP.

Contributor(s): Himani, Bansal [editor.] | Balusamy, Balamurugan [editor.] | Poongodi, T [editor.] | Khan KP, Firoz [editor.].
Material type: materialTypeLabelBookSeries: Green engineering and technology: concepts and applications.Publisher: Boca Raton : CRC Press, 2021Edition: First editlion.Description: 1 online resource.Content type: text Media type: computer Carrier type: online resourceISBN: 9781003185246; 100318524X; 1000406202; 9781000406207; 9781000406191; 1000406199.Subject(s): Machine learning | Medical informatics | TECHNOLOGY / Manufacturing | COMPUTERS / Data Processing / GeneralDDC classification: 006.3/1 Online resources: Taylor & Francis | OCLC metadata license agreement Summary: "This book provides applications of machine learning in healthcare systems and seeks to close the gap between engineering and medicine. It will combine the design and problem-solving skills of engineering with health sciences, in order to advance healthcare treatment. The book will include areas such as diagnosis, monitoring, and therapy. The book will provide real-world case studies, gives a detailed exploration of applications in healthcare systems, offers multiple perspectives on a variety of disciplines, while also letting the reader know how to avoid some of the consequences of old methods with data sharing. The book can be used as a reference for practitioners, researchers and for students at basic and intermediary levels in Computer Science, Electronics and Communications"-- Provided by publisher.
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"This book provides applications of machine learning in healthcare systems and seeks to close the gap between engineering and medicine. It will combine the design and problem-solving skills of engineering with health sciences, in order to advance healthcare treatment. The book will include areas such as diagnosis, monitoring, and therapy. The book will provide real-world case studies, gives a detailed exploration of applications in healthcare systems, offers multiple perspectives on a variety of disciplines, while also letting the reader know how to avoid some of the consequences of old methods with data sharing. The book can be used as a reference for practitioners, researchers and for students at basic and intermediary levels in Computer Science, Electronics and Communications"-- Provided by publisher.

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