Evolving Predictive Analytics in Healthcare : New AI techniques for real-time interventions Hardback
Edited by Abhishek (Assistant Professor, Chitkara University, Department of Computer Science and Engine Kumar, Ashutosh Kumar (Associate Professor, Chitkara University, Department of Computer Science and Dubey, Surbhi (Associate Professor, King Faisal University, College of Computer Sciences and Inform Bhatia, Swarn Avinash (Applied Research Scientist, Meta Platforms, Inc., USA) Kumar, Dac-Nhuong (Associate Professor, Haiphong University, Department of Computer Science, Faculty of Le
Part of the Healthcare Technologies series
Hardback
Description
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.
Information
-
Out of stock
- Format:Hardback
- Pages:420 pages
- Publisher:Institution of Engineering and Technology
- Publication Date:25/10/2022
- Category:
- ISBN:9781839535116
Information
-
Out of stock
- Format:Hardback
- Pages:420 pages
- Publisher:Institution of Engineering and Technology
- Publication Date:25/10/2022
- Category:
- ISBN:9781839535116
