Healthcare solutions using machine learning and informatics
Introduction to artificial intelligence in healthcare / Divyani Jigyasu, Sunil Kumar, Rajveer Singh Shekhawat, Shally Vats -- Machine learning in radio imagining / Nitesh Pradhan, Punit Gupta , Anita Shrotriya -- Solutions using machine learning for diabetes / Jabar H. Yousif, Kashif Zia, Durgesh Sr...
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| Weitere Verfasser: | , , |
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| Format: | UnknownFormat |
| Sprache: | eng |
| Veröffentlicht: |
Boca Raton, London, New York
CRC Press, Taylor & Francis Group
2023
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| Ausgabe: | First edition |
| Schlagworte: | |
| Online Zugang: | Inhaltsverzeichnis |
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Tag hinzufügen | Zusammenfassung: | Introduction to artificial intelligence in healthcare / Divyani Jigyasu, Sunil Kumar, Rajveer Singh Shekhawat, Shally Vats -- Machine learning in radio imagining / Nitesh Pradhan, Punit Gupta , Anita Shrotriya -- Solutions using machine learning for diabetes / Jabar H. Yousif, Kashif Zia, Durgesh Srivastava -- A highly reliable machine learning algorithm for cardiovascular disease prediction / Horesh Kumar, Tarun Jain, Kartik Soni, Amisha Gupta, Rishi Gupta -- Machine learning algorithm for industry using image sensing / Aakash Dhall, Hemant K Upadhyay, Sapna Juneja, Abhinav Juneja -- Solutions using machine learning for COVID-19 / Kashif Zia, Jabar H. Yousif, Muhammad Shafi -- Big data analytics in healthcare data processing / Tanveer Ahmed, Rishav Singh, Ritika Singh -- Reliable biomedical applications using AI models / Shambhavi Mishra, Tanveer Ahmed, Vipul Mishra -- Disease detection using imaging sensors, deep learning, and machine learning for smart farming / Chanchal Upadhyay, Hemant K Upadhyay, Sapna Juneja, Abhinav Juneja -- IoT application for healthcare / Monika Sharma, Hemant K Upadhyay, Abhinav Juneja -- Machine learning techniques for prediction of diabetes / Tarun Jain, Payal Garg, Jalak Yogesh Patel, Div Chaudhary, Horesh Kumar -- Use of machine learning in healthcare / Arnaav Anand, Ishita Mehta. "Healthcare Solutions Using Machine Learning and Informatics covers novel and innovative solutions for the healthcare that apply machine learning and biomedical informatics technology. The healthcare sector is one of the most critical in society. This book presents a series of artificial intelligence, machine learning, intelligent IoT-based solutions for medical image analysis, medical big data processing, disease predictions. Machine learning and artificial intelligence use cases in healthcare presented in the book give researchers, practitioners, and students a wide range of practical examples of cross-domain convergence. The wide variety of topics covered include: Artificial Intelligence in healthcare Machine learning solutions for such disease as diabetes, arthritis, cardiovascular disease, and COVID-19 Big data analytics solutions for healthcare data processing Reliable biomedical applications using AI models Intelligent IoT in healthcare. The book explains fundamental concepts as well as the advanced use cases illustrating how to apply emerging technologies such as machine learning, AI models, data informatics into practice to tackle challenges in the field of healthcare with real-world scenarios. Chapters contributed by noted academicians and professionals examine various solutions, frameworks, applications, case studies, and best practices in the healthcare domain"-- |
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| Beschreibung: | Includes bibliographical references and index |
| Beschreibung: | xi, 254 Seiten Illustrationen, Diagramme |
| ISBN: | 9781032201986 978-1-032-20198-6 9781032345222 978-1-032-34522-2 |