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Evolving Predictive Analytics in Healthcare

New AI techniques for real-time interventions

Abhishek Kumar editor Surbhi Bhatia editor Dac-Nhuong Le editor Ashutosh Kumar Dubey editor Swarn Avinash Kumar editor

Format:Hardback

Publisher:Institution of Engineering and Technology

Published:30th Aug '22

Should be back in stock very soon

Evolving Predictive Analytics in Healthcare cover

A major use of practical predictive analytics in medicine has been in the diagnosis of current diseases, particularly through medical imaging. Now there is sufficient improvement in AI, IoT and data analytics to deal with real time problems with an increased focus on early prediction using machine learning and deep learning algorithms. With the power of artificial intelligence alongside the internet of 'medical' things, these algorithms can input the characteristics/data of their patients and get predictions of future diagnoses, classifications, treatment and costs.

Evolving Predictive Analytics in Healthcare: New AI techniques for real-time interventions discusses deep learning algorithms in medical diagnosis, including applications such as Covid-19 detection, dementia detection, and predicting chemotherapy outcomes on breast cancer tumours. Smart healthcare monitoring frameworks using IoT with big data analytics are explored and the latest trends in predictive technology for solving real-time health care problems are examined. By using real-time data inputs to build predictive models, this new technology can literally 'see' your future health and allow clinicians to intervene as needed.

This book is suitable reading for researchers interested in healthcare technology, big data analytics, and artificial intelligence.

ISBN: 9781839535116

Dimensions: unknown

Weight: unknown

420 pages