• 0 5391 6310 , 0 5391 6320
  • acquisition_library@mfu.ac.th
  • BOOK
  • E-BOOK
        
  • Log in
  • HOME
  • CATEGORY
    • Agro-Industry
    • Anti Aging and Regenerative Medicine
    • Applied Digital Technology
    • Cosmetic Science
    • Dentistry
    • General Books
    • Health Science
    • Integrative Medicine
    • Law
    • Liberal Arts
    • Management
    • Medicine
    • Nursing
    • Science
    • Sinology
    • Social Innovations
  • BOOKFAIR WEBSITE
  • MANUAL

Category

Agro-Industry

Anti Aging and Regenerative Medicine

Applied Digital Technology

Cosmetic Science

Dentistry

Health Science

Integrative Medicine

Law

Liberal Arts

Management

Medicine

Nursing

Science

Sinology

Social Innovations

General Books

Book

Advances in Healthcare using Machine Learning : Volume 1

ISBN : 9781032853482

Author : Sriparna Saha

Publisher : CRC Press

Year : 2026

Language : English

Type : Book

Description : The rapid technological advancements in the healthcare industry over recent decades have been transformative. These innovations have not only enhanced our understanding of the morphology and physiology of various organs but have also significantly improved the early diagnosis and treatment of numerous diseases across different medical specialties. This progress has been largely driven by advancements in artificial intelligence (AI) and computer vision (CV). AI and CV enable the real-time collection, processing, interpretation, and analysis of vast amounts of static and dynamic medical data, revolutionizing disease characterization and patient selection. Early detection is crucial in treating life-threatening illnesses such as COVID-19, pneumonia, and cancer. Computer-based medical imaging techniques, including CT scans and X-rays, play a vital role in diagnosing these conditions. Similarly, biological signals like electroencephalography (EEG) and electrocardiography (ECG) help anticipate brain anomalies and heart diseases. Machine learning further enhances the accuracy of disease prediction, assisting clinicians in making precise diagnoses. By facilitating faster disease recognition, these technologies also enable wider access to healthcare, including remote and underserved areas. This book aims to develop machine learning algorithms that analyze diverse medical data and predict diseases based on their characteristics, ultimately advancing healthcare diagnostics and treatment strategies.

Please register to recommend this book to the library.

RECOMMENDED BOOKS

Interviews as Activated Storytelling

Amir B. Marvasti

  • Detail

Coding Android Apps

Margaret Kozak Polk

  • Detail

Experimental Soil Fertility and Biology

A.S. Mailappa

  • Detail

Luxury Fashion Marketing and Branding A Strategic Approach

Alice Dallabona

  • Detail

Impact of Societal Development and Infrastructure on Biodiversity Decline

Ashok Kumar Rathoure

  • Detail

Measure and Integral : Theory and Practice

John Petrovic

  • Detail

Predicting Natural Disasters With AI and Machine Learning

D. Satishkumar

  • Detail

Dietary and Medicinal Significance of Wild Edible Fruiting Plants

Devi Datt Joshi

  • Detail

Learning Reources and Education Media Centre - Mae Fah Luang University