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Data-Driven Approach for Bio-medical and Healthcare (Data-Intensive Research) - Hardcover

Buch 1 von 5: Data-Intensive Research
 
9789811951831: Data-Driven Approach for Bio-medical and Healthcare (Data-Intensive Research)
Hardcover
ISBN 10: 9811951837 ISBN 13: 9789811951831
Verlag: Springer, 2022

Inhaltsangabe

The book presents current research advances, both academic and industrial, in machine learning, artificial intelligence, and data analytics for biomedical and healthcare applications. The book deals with key challenges associated with biomedical data analysis including higher dimensions, class imbalances, smaller database sizes, etc. It also highlights development of novel pattern recognition and machine learning methods specific to medical and genomic data, which is extremely necessary but highly challenging. The book will be useful for healthcare professionals who have access to interesting data sources but lack the expertise to use data mining effectively.

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Über die Autorin bzw. den Autor

Nilanjan Dey is an Associate Professor in the Department of Computer Science and Engineering, Techno International New Town, Kolkata, India. He is a visiting fellow of the University of Reading, UK. He also holds a position of Adjunct Professor at Ton Duc Thang University, Ho Chi Minh City, Vietnam. Previously, he held an honorary position of Visiting Scientist at Global Biomedical Technologies Inc., CA, USA (2012–2015). He was awarded his PhD from Jadavpur University in 2015. He is the Editor-in-Chief of the International Journal of Ambient Computing and Intelligence , IGI Global, USA. He is the Series Co-Editor of  Springer Tracts in Nature-Inspired Computing (Springer Nature), Data-Intensive Research(Springer Nature),  Advances in Ubiquitous Sensing Applications for Healthcare (Elsevier) etc. He is an associate editor of  IET Image Processing and editorial board member of Complex & Intelligent Systems, Springer Nature, Applied Soft Computing, Elsevierand a Senior member of IEEE.

Von der hinteren Coverseite

The book presents current research advances, both academic and industrial, in machine learning, artificial intelligence, and data analytics for biomedical and healthcare applications. The book deals with key challenges associated with biomedical data analysis including higher dimensions, class imbalances, smaller database sizes, etc. It also highlights development of novel pattern recognition and machine learning methods specific to medical and genomic data, which is extremely necessary but highly challenging. The book will be useful for healthcare professionals who have access to interesting data sources but lack the expertise to use data mining effectively.

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Verlag
Springer
Erscheinungsdatum
2022
Sprache
Englisch
ISBN 10 
9811951837
ISBN 13 
9789811951831
Einband
Gebundene Ausgabe
Auflage
1
Anzahl der Seiten
246
Herausgeber
Dey Nilanjan
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