Isbn: 9786207648917 - artificial intelligence and machine learning for enhanced diagnosis: a focus on diabetes and cardiovascular conditions (8 Ergebnisse)

PAP. Zustand: New. New Book. Shipped from UK. Established seller since 2000.

Zustand: New.

PAP. Zustand: New. New Book. Shipped from UK. Established seller since 2000.

Zustand: New. In English.

Taschenbuch. Zustand: Neu. ARTIFICIAL INTELLIGENCE AND MACHINE LEARNING FOR ENHANCED DIAGNOSIS | A Focus on Diabetes and Cardiovascular Conditions | Ms. Sweta (u. a.) | Taschenbuch | Englisch | 2024 | LAP LAMBERT Academic Publishing | EAN 9786207648917 | Verantwortliche Person für die EU: preigu GmbH & Co. KG, Lengericher Landstr. 19, 49078 Osnabrück, mail[at]preigu[dot]de | Anbieter: preigu.…

Taschenbuch. Zustand: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -The monograph 'Artificial Intelligence and Machine Learning for Enhanced Diagnosis-A Focus on Diabetes and Cardiovascular Conditions' explores the transformative potential of AI and ML technologies in revolutionizing disease diagnosis and patient care within the domains of diabetes and cardiovascular conditions. It delves into the applications of AI and ML in disease diagnosis, highlighting their role in early detection, risk prediction, and personalized treatment strategies. The monograph provides insights into the opportunities and challenges associated with leveraging data-driven approaches to enhance diagnostic accuracy, improve treatment outcomes, and empower patients in managing chronic diseases. By addressing key research gaps, ethical dilemmas, and future directions, the monograph aims to inform healthcare professionals, researchers, and policymakers about the potential of AI and ML to drive meaningful advancements in disease diagnosis and patient care, ultimately improving the quality of life for individuals affected by diabetes and cardiovascular conditions. 56 pp. Englisch.…

Taschenbuch. Zustand: Neu. This item is printed on demand - Print on Demand Titel. Neuware -The monograph 'Artificial Intelligence and Machine Learning for Enhanced Diagnosis-A Focus on Diabetes and Cardiovascular Conditions' explores the transformative potential of AI and ML technologies in revolutionizing disease diagnosis and patient care within the domains of diabetes and cardiovascular conditions. It delves into the applications of AI and ML in disease diagnosis, highlighting their role in early detection, risk prediction, and personalized treatment strategies. The monograph provides insights into the opportunities and challenges associated with leveraging data-driven approaches to enhance diagnostic accuracy, improve treatment outcomes, and empower patients in managing chronic diseases. By addressing key research gaps, ethical dilemmas, and future directions, the monograph aims to inform healthcare professionals, researchers, and policymakers about the potential of AI and ML to drive meaningful advancements in disease diagnosis and patient care, ultimately improving the quality of life for individuals affected by diabetes and cardiovascular conditions.VDM Verlag, Dudweiler Landstraße 99, 66123 Saarbrücken 56 pp. Englisch.…

Taschenbuch. Zustand: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - The monograph 'Artificial Intelligence and Machine Learning for Enhanced Diagnosis-A Focus on Diabetes and Cardiovascular Conditions' explores the transformative potential of AI and ML technologies in revolutionizing disease diagnosis and patient care within the domains of diabetes and cardiovascular conditions. It delves into the applications of AI and ML in disease diagnosis, highlighting their role in early detection, risk prediction, and personalized treatment strategies. The monograph provides insights into the opportunities and challenges associated with leveraging data-driven approaches to enhance diagnostic accuracy, improve treatment outcomes, and empower patients in managing chronic diseases. By addressing key research gaps, ethical dilemmas, and future directions, the monograph aims to inform healthcare professionals, researchers, and policymakers about the potential of AI and ML to drive meaningful advancements in disease diagnosis and patient care, ultimately improving the quality of life for individuals affected by diabetes and cardiovascular conditions.…