Digital Health (eBook)

Managing and Leveraging Health Information Systems
Artikelnummer: 978-1-040-55221-6
Einband: PDF
Verfügbarkeit: Noch nicht erschienen, Januar 2027
CHF 100.60

Chapter 1: Leveraging Health Information Systems for Population Health Management. Chapter 2: Medical and Healthcare Services using AI and Blockchain Distributed Systems. Chapter 3: Effective Governance in Health Information Systems: Strategies, Challenges, and Best Practices. Chapter 4: The Future of Healthcare: AI's Transformative Role. Chapter 5: AI-Driven Revolution in Breast Cancer Detection: Harnessing Machine Learning for Precision Healthcare. Chapter 6: Exploring the Evolution of Health Information Systems. Chapter 7: Deep Learning for Glaucoma Detection: Comprehensive Advances and Applications. Chapter 8: Internet of Things and Image Processing Integration in Healthcare: Opportunities, Challenges, and Future Trends. Chapter 9: Assessment of the Reliability and Safety of Medical Devices in Health Care Systems. Chapter 10: Prediction Analysis of Diabetes Disease Using Perceptron and Multilayer Perceptron Classification Model of Deep Learning. Chapter 11: Challenges with Current Health Information Systems. Chapter 12: Transforming Pulmonary Diagnostics with Deep Learning: A Comprehensive Study. Chapter 13: Medical Robots in Healthcare Management. Chapter 14: Digital Health: Leveraging Smart Healthcare Solutions to Manage Health Information Systems. Chapter 15: A.I. & BIG DATA IN HEALTHCARE DIAGNOSIS PREDICTION: REVIEW. Chapter 16: Revolutionizing Healthcare with Artificial Intelligence and Machine Learning. Chapter 17: Health Care Smart Solutions. Chapter 18: Role of AI in Breast Cancer Classification. Chapter 19: Road Map for Brain Tumor Classification from MRI. Chapter 20: A Comparative Performance Study Analysis of Asthma Disease Prediction Using Various Classification Algorithms of Machine Learning and Ensemble Techniques.

Chapter 1: Leveraging Health Information Systems for Population Health Management. Chapter 2: Medical and Healthcare Services using AI and Blockchain Distributed Systems. Chapter 3: Effective Governance in Health Information Systems: Strategies, Challenges, and Best Practices. Chapter 4: The Future of Healthcare: AI's Transformative Role. Chapter 5: AI-Driven Revolution in Breast Cancer Detection: Harnessing Machine Learning for Precision Healthcare. Chapter 6: Exploring the Evolution of Health Information Systems. Chapter 7: Deep Learning for Glaucoma Detection: Comprehensive Advances and Applications. Chapter 8: Internet of Things and Image Processing Integration in Healthcare: Opportunities, Challenges, and Future Trends. Chapter 9: Assessment of the Reliability and Safety of Medical Devices in Health Care Systems. Chapter 10: Prediction Analysis of Diabetes Disease Using Perceptron and Multilayer Perceptron Classification Model of Deep Learning. Chapter 11: Challenges with Current Health Information Systems. Chapter 12: Transforming Pulmonary Diagnostics with Deep Learning: A Comprehensive Study. Chapter 13: Medical Robots in Healthcare Management. Chapter 14: Digital Health: Leveraging Smart Healthcare Solutions to Manage Health Information Systems. Chapter 15: A.I. & BIG DATA IN HEALTHCARE DIAGNOSIS PREDICTION: REVIEW. Chapter 16: Revolutionizing Healthcare with Artificial Intelligence and Machine Learning. Chapter 17: Health Care Smart Solutions. Chapter 18: Role of AI in Breast Cancer Classification. Chapter 19: Road Map for Brain Tumor Classification from MRI. Chapter 20: A Comparative Performance Study Analysis of Asthma Disease Prediction Using Various Classification Algorithms of Machine Learning and Ensemble Techniques.

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VerlagTaylor & Francis Ebooks
EinbandPDF
Erscheinungsjahr2027
Seitenangabe400 S.
AusgabekennzeichenEnglisch
Abbildungen82 schwarz-weiße und 16 farbige Abbildungen, 3 schwarz-weiße und 6 farbige Fotos, 79 schwarz-weiße und 10 farbige Zeichnungen, 28 schwarz-weiße Tabellen
PlattformPDF
AutorUpadhyay, Prashant (Hrsg.) / Fatima, Hoor (Hrsg.) / Zehra, Saniya (Hrsg.) / Dubey, Preeti (Hrsg.) / Yadav, Satya Prakash (Hrsg.)

Über den Autor Prashant (Hrsg.) Upadhyay

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