Evolving Predictive Analytics in Healthcare : New Ai Techniques for Real-time Interventions

Kumar, Abhishek (EDT); Dubey, Ashutosh Kumar (EDT); Bhatia, Surbhi (EDT); Kumar, Swarn Avinash (EDT); Le, Dac-nhuong (EDT)

ISBN 10: 1839535113 / ISBN 13: 9781839535116

Edité par The Institution of Engineering and Technology, 2022

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N° de réf. du vendeur 45675588-n

Détails bibliographiques

• Titre: Evolving Predictive Analytics in Healthcare : New Ai Techniques for Real-time Interventions
• Éditeur: The Institution of Engineering and Technology
• Date de parution: 2022
• Langue: anglais
• ISBN à 10 chiffres: 1839535113
• ISBN à 13 chiffres: 9781839535116
• Reliure: Couverture rigide
• État de l'article: New

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Synopsis

This book examines machine learning trends in predictive technology to solve real-time healthcare problems. By using real-time data inputs to build predictive models, this new technology can model disease progression, assist with interventions or predict patient outcomes.

À propos des auteurs

Abhishek Kumar is an assistant professor in the Department of Computer Science and Engineering at the Institute of Engineering and Technology, Chitkara University, India. He has a Doctorate in Computer Science from the University of Madras and is a Post-Doctoral Fellow of the Ingenium Research Group, Universidad De Castilla-La Mancha, Spain. He has published over 80 journal papers and edited 21 books. His research areas include artificial intelligence, image processing, computer vision, data mining, and machine learning.

Ashutosh Kumar Dubey is an associate professor in the Department of Computer Science and Engineering at the Institute of Engineering and Technology, Chitkara University, India. He is a Senior Member of IEEE and ACM. His research interests include machine learning, health informatics, and cloud computing.

Surbhi Bhatia is an associate professor at the College of Computer Sciences and Information Technology, King Faisal University, Saudi Arabia. She is PMP certified from PMI, USA. She has published 75 papers in reputed journals and conferences and edited 9 books. She has 9 patents from the USA, Australia, and India and has completed 5 research projects from the Ministry of Education and DSR, Saudi Arabia. Her research interests include sentiment analysis, data analytics, and machine learning.

Swarn Avinash Kumar is an applied research scientist at Meta Platforms, Inc. (previously Facebook), USA. He has previously worked in software engineering roles at Lyft Inc., Google and Amazon. He has filed multiple patents in the autonomous industry and the machine learning sphere. His research interests include robotics, deep learning, natural language processing, and computer vision.

Dac-Nhuong Le is an associate professor in the Department of Computer Science and head of the Faculty of Information Technology at Haiphong University, Vietnam. He has more than 20 years of academic teaching experience and has published more than 80 papers, presentations, and book chapters. His research interests include evolutionary multi-objective optimization, network communication and security, cloud computing, and virtual/argument reality.