The lack of comprehensive, innovative insights into the intricate world of pregnancy complication prediction is a pressing concern, as these complications can severely impact the health and wellbeing of pregnant patients. As the complexities of maternal healthcare continue to evolve, scholars grapple with the challenge of staying at the forefront of research and innovation in this critical field. The unpredictability of pregnancy complications poses significant risks to positive patient outcomes, demanding novel approaches to diagnosis and prevention. The academic community seeks a solution that can bridge the gap between traditional research and the transformative potential of technological advancements in healthcare. Technological Tools for Predicting Pregnancy Complications not only identify the problem but offer an authoritative solution. It serves as a beacon of knowledge for academic scholars, providing a holistic exploration of how Artificial Intelligence (AI) and Machine Learning (ML) technologies can revolutionize maternal healthcare. With a laser focus on predictive models, comprehensive health data analysis, and innovative algorithmic approaches, this book equips scholars with the tools they need to navigate the ever-evolving landscape of pregnancy complications. Academic scholars will find a treasure trove of insights, spanning from the fundamentals of AI and ML in healthcare to the application of IoT devices and wearable sensors for expectant mothers.
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D. Satish Kumar is an Associate Professor in the Department of Computer Science and Engineering at Nehru Institute of Engineering and Technology, Coimbatore, Tamilnadu, India-641105, where he has been since 2019. From 2019 to 2021 he served as Department Research Coordinator. From 2012 to 2016 he served as Assistant Professor of Department of Computer Science and Engineering in Nehru institute of Technology, Inc. During 2003-2007 he was a Lecturer at the KCG College of technology, Chennai, Tamilnadu, India, and in 2007-2010 he was faculty at Coimbatore Institute of Engineering and Technology, Coimbatore, Tamilnadu, India, in 2010-2012 he was faculty at Kalaignar Karunanidhi Institute of Technology, Coimbatore, Tamilnadu, India. He received a B.E. from Bharathiar University in 2002, and an M.E. from the Manonmaniam Sundharnar University, Tamilnadu, India. He received his Ph.D. in Computer Science and Engineering from the Anna University in 2015.
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Buch. Etat : Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - The lack of comprehensive, innovative insights into the intricate world of pregnancy complication prediction is a pressing concern, as these complications can severely impact the health and wellbeing of pregnant patients. As the complexities of maternal healthcare continue to evolve, scholars grapple with the challenge of staying at the forefront of research and innovation in this critical field. The unpredictability of pregnancy complications poses significant risks to positive patient outcomes, demanding novel approaches to diagnosis and prevention. The academic community seeks a solution that can bridge the gap between traditional research and the transformative potential of technological advancements in healthcare. Technological Tools for Predicting Pregnancy Complications not only identify the problem but offer an authoritative solution. It serves as a beacon of knowledge for academic scholars, providing a holistic exploration of how Artificial Intelligence (AI) and Machine Learning (ML) technologies can revolutionize maternal healthcare. With a laser focus on predictive models, comprehensive health data analysis, and innovative algorithmic approaches, this book equips scholars with the tools they need to navigate the ever-evolving landscape of pregnancy complications. Academic scholars will find a treasure trove of insights, spanning from the fundamentals of AI and ML in healthcare to the application of IoT devices and wearable sensors for expectant mothers. N° de réf. du vendeur 9798369317181
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