Prediction in Medicine: The Impact of Machine Learning on Healthcare
eBook - ePub

Prediction in Medicine: The Impact of Machine Learning on Healthcare

  1. English
  2. ePUB (mobile friendly)
  3. Available on iOS & Android
eBook - ePub

Prediction in Medicine: The Impact of Machine Learning on Healthcare

About this book

Prediction in Medicine: The Impact of Machine Learning on Healthcare explores the transformative power of advanced data analytics and machine learning in healthcare. This comprehensive guide covers predictive analysis, leveraging electronic health records (EHRs) and wearable devices to optimize patient care and healthcare planning. Key topics include disease diagnosis, risk assessment, and precision medicine advancements in cardiovascular health and hypertension management. The book also addresses challenges in interpreting clinical data and navigating ethical considerations. It examines the role of AI in healthcare emergencies and infectious disease management, highlighting the integration of diverse data sources like medical imaging and genomic data. Prediction in Medicine is essential for students, researchers, healthcare professionals, and general readers interested in the future of healthcare and technological innovation. Readership:
Graduate and undergraduate, researchers, professionals, general.

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Information

Table of contents

  1. Welcome
  2. Table of Content
  3. Title
  4. BENTHAM SCIENCE PUBLISHERS LTD.
  5. FOREWORD
  6. PREFACE
  7. List of Contributors
  8. Predictive Analysis: Forecasting Patient's Outcomes and Medical Trends
  9. Prediction and Analysis of Digital Health Records, Geonomics, and Radiology Using Machine Learning
  10. Medical Imaging Using Machine Learning and Deep Learning: A Survey
  11. Applications of Machine Learning Practices in Human Healthcare Management Systems
  12. Multimodal Deep Learning in Medical Diagnostics: A Comprehensive Exploration of Cardiovascular Risk Prediction
  13. Hypertension Detection System Using Machine Learning
  14. Data Collection and Preparation for Medical Applications for Machine Learning
  15. Growing Importance of Machine Learning in Healthcare to Determine Potential Risk
  16. Challenges and Opportunities for the Healthcare
  17. Fundamentals of Machine Learning in Healthcare
  18. Healthcare Machine Learning Insights
  19. Revolutionizing Healthcare: The Power of Machine Learning
  20. A Scientific Implementation for Medical Images to Detect and Classify Various Diseases Using Machine Learning
  21. Exploring the Fundamental Concepts of Machine Learning for Medical Enhancement

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Yes, you can access Prediction in Medicine: The Impact of Machine Learning on Healthcare by Neeta Verma,Anjali Singhal,Vijai Singh in PDF and/or ePUB format, as well as other popular books in Computer Science & Computer Vision & Pattern Recognition. We have over 1.5 million books available in our catalogue for you to explore.