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Healthcare with Machine Learning: The Ease of Listening and Learning Unabridged edition [Kietas viršelis]

Edited by , Edited by
  • Formatas: Hardback, 376 pages, aukštis x plotis: 212x148 mm
  • Išleidimo metai: 17-Jun-2025
  • Leidėjas: Cambridge Scholars Publishing
  • ISBN-10: 1036449432
  • ISBN-13: 9781036449438
Kitos knygos pagal šią temą:
  • Formatas: Hardback, 376 pages, aukštis x plotis: 212x148 mm
  • Išleidimo metai: 17-Jun-2025
  • Leidėjas: Cambridge Scholars Publishing
  • ISBN-10: 1036449432
  • ISBN-13: 9781036449438
Kitos knygos pagal šią temą:
Healthcare is a core portion of human well-being; now, it is undergoing astonishing changes, almost impossible to understand in the digital age. The coming revolution is machine learning and artificial intelligence, which can ultimately change medical results or conditions, processes, and accessibility to an extent. This book takes very complex subjects and makes them comprehensible or actionable for readers. The book is intended to raise awareness about machine learning in the minds of people working in healthcare and motivate techno-crazy individuals to find ways to use it in domains of medical sciences. By way of exciting examples, live cases, and a peek behind the scenes of how algorithms are impacting patient care, we want to build a bridge between theoretical models and their practical applications. While writing this book, simplicity was kept at the top of our minds without compromising on depth. Therefore, if you are a healthcare professional who is interested in trying to apply machine learning into practice, or even a data scientist interested in what can be done in healthcare, this book contains quite a broad scope.
Prof (Dr) Rajeev Kumar is currently a Professor in the Computer Science and Engineering Department at Moradabad Institute of Technology, Moradabad, Uttar Pradesh, India. He holds a Ph.D. in Computer Science and a D.Sc. (Post-Doctoral Degree) in Computer Science, and a Postdoctoral Fellowship from Malaysia. His academic credentials are further bolstered by certifications in Data Science and Machine Learning using Python and R Programming from IIM (Indian Institute of Management) Raipur and additional certifications from IBM and Google. Dr Abhay Bhatia is working as Associate Professor in the Department of Computer Science and Engineering at Roorkee Institute of Technology, Roorkee, Haridwar Uttarakhand, India. He has completed his B.Tech in Computer Science and Engineering from AKTU (Dr A.P.J. Abdul Kalam Technical University) (formely UPTU), M.Tech in Computer Science and Engineering from Rajasthan and Ph.D. in Wireless Sensor Networks. He has a distinguished record of research papers with 23+ Indexed, Scopus, IEEE and SCI papers. Moreover 5 patents with 6 book chapters are also in his bucket, he also authored a book on Fundamental of IoT.