Machine Learning in Healthcare : Fundamentals and Recent Applications (Paperback)

1. Biostatistics.  2. Probability Theory.  3. Medical Data Acquisition and Pre-processing.  4. Medical Image Processing.  5. Bio-signals.  6. Feature Extraction.  7. Introduction to Machine Learning.  8. Cancer detection: Breast Cancer Detection Using Mammography, Ultrasound and Magnetic Resonance Imaging (MRI).  9. Sickle Cell Disease Management: A Machine Learning Approach.  10. Detection of Pulmonary Diseases.  11. Mental Illness and Neurodevelopmental Disorders.  12. Applications and Challenges.