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Evolving Predictive Analytics in Healthcare: New AI techniques for real-time interventions

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Editors: Abhishek Kumar 1 ; Ashutosh Kumar Dubey 1 ; Surbhi Bhatia 2 ; Swarn Avinash Kumar 3 ; Dac-Nhuong Le 4
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Publication Year: 2022

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.

Inspec keywords: diseases; medical image processing; health care; Internet of Things; deep learning (artificial intelligence)

Other keywords: cancer; real-time interventions; medical computing; AI techniques; medical image processing; data analysis; medical information systems; image classification; deep learning (artificial intelligence); health care; Internet of Things; evolving predictive analytics

Subjects: Handbooks and dictionaries; Patient diagnostic methods and instrumentation; Textbooks; Biology and medical computing; Monographs, and collections; Medical administration; General and management topics; Machine learning (artificial intelligence); Computer vision and image processing techniques

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