Name: Machine Learning-Based Decision Support Systems for Diabetic Foot Ulcer Care
SKU: 64765346
Price: 224.73 USD
Availability: InStock
Author: Mritunjay Rai

portada Machine Learning-Based Decision Support Systems for Diabetic Foot Ulcer Care

Machine Learning-Based Decision Support Systems for Diabetic Foot Ulcer Care

Formato

Libro Físico

Editorial

Nova Medicine and Health

Autor

Mritunjay Rai

Colección

Health Care in Transition

Año

2025

N° páginas

354

Encuadernación

Tapa Dura

Dimensiones

22.9x15.2x1.8 cm

ISBN13

9798895305423

Machine Learning-Based Decision Support Systems for Diabetic Foot Ulcer Care

Mritunjay Rai (Autor) · Nova Medicine and Health · Tapa Dura

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Reseña del libro "Machine Learning-Based Decision Support Systems for Diabetic Foot Ulcer Care"

This book will have a profound impact on the research community by illustrating how machine learning can transform the care of Diabetic Foot Ulcers (DFU). It offers valuable insights into the development and implementation of Decision Support Systems (DSS), which will encourage further research into enhancing machine learning algorithms for DFU prediction, early detection, and personalized treatment strategies. This book aims to bridge the gap between cutting-edge technology and clinical practice, fostering collaboration across disciplines such as computer science, healthcare, and diabetes research. By integrating these fields, this book will facilitate interdisciplinary partnerships that drive innovation in diabetic care. Additionally, policymakers and healthcare administrators will benefit from the insights provided, gaining a better understanding of the potential for machine learning to revolutionize diabetic care pathways. This knowledge could lead to improved patient outcomes and more efficient resource allocation in healthcare systems, ultimately helping to reduce overall costs. The book serves not only as a guide for current advancements but also as a foundation for future research and collaboration, laying the groundwork for a more technology-driven approach to managing diabetic complications.