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The book explores how mathematical approaches drive efficiency, resource allocation, and improved patient outcomes, offering readers valuable insights into the pivotal role of quantitative analysis in shaping the future of healthcare delivery. It discusses the role of wearable technology in promoting patient engagement and wellness.

Produktbeschreibung
The book explores how mathematical approaches drive efficiency, resource allocation, and improved patient outcomes, offering readers valuable insights into the pivotal role of quantitative analysis in shaping the future of healthcare delivery. It discusses the role of wearable technology in promoting patient engagement and wellness.


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Autorenporträt
Dr. Meenu Gupta is an Associate Professor at the UIE-CSE Department, Chandigarh University, India. She is pursuing her Post Doc Fellowship from MIR lab, USA. She has completed her Ph.D. in Computer Science and Engineering from Ansal University, Gurgaon, India, in 2020. She has more than 16 years of teaching experience. Her research areas cover Machine Learning, Intelligent Systems, and Data mining, with a specific interest in Artificial Intelligence, Image Processing and Analysis, Smart Cities, Data Analysis, and Human/Brain-Machine Interaction (BMI). She has edited more than 17 books and authored four engineering books. She reviews several journals, including Big Data, Artificial Intelligence Review, CMC, Scientific Reports, Digital Health, etc. She is a life member of ISTE and IAENG. She is also a Senior member of IEEE. She has authored or co-authored more than 37 book chapters and over 200 papers in refereed international journals and conferences. She also organised many conferences technically sponsored by the IEEE Delhi Section, AIP, etc. Dr. Rakesh Kumar is an Associate Director at the UIE-CSE Department, Chandigarh University, Punjab, India. He is pursuing his Post Doc Fellowship from MIR lab, USA. He has completed his Ph.D. in Computer Science and Engineering from Punjab Technical University, Jalandhar, 2017. He has more than 20 years of teaching experience. His research interests are IoT, Machine Learning, and Natural Language Processing. He has edited more than 7 books with the reputed publisher like Elsevier, Springer, Taylor and Francis, etc and authored 5 books. He works as a reviewer for several journals, including Big Data, CMC, Scientific Reports, and TSP, Multimedia Tools and Applications, IEEE Access, etc. He is a Senior Member of IEEE. He has authored or co-authored more than 170 publications in various national/ international conferences and journals. He is also an organizer and editor of many international conferences under the aegis of IEEE and AIP.