Artificial Intelligence in e-Health Framework, Volume 1

<p>Section 1: Introduction to Artificial Intelligence<br>1. Data Processing<br>2. Regression, Classification, and Clustering Algorithms<br>3. Deep Learning<br><br>Section 2: Application of Artificial Intelligence in Disease Diagnosis<br>4. Application of Artificial Intelligence in Pioneering Heart Disease Detection<br>5. From Data to Diagnosis: Leveraging Machine Learning for Heart Disease Classification with the Cleveland Heart Disease Dataset<br>6. AI-based Treatment Solutions<br>7. Application of AI in Big Data Management<br><br>Section 3: AI in Health Monitoring and Wearables Devices<br>8. Remote Health Monitoring Using Artificial Intelligence<br>9. Predicting Women&rsquo;s Fertility with AI<br>10. A Comparative Study on &ldquo;Face Mask Detection&rdquo; Using Machine Learning and Deep Learning Algorithms<br>11. Enhancing Communication: A Review on AI Wearables for the Deaf and Mute<br>12. AI based cuffless digital sphygmomanometric measuring system for chronic illness patients<br><br>Section 4: Application of AI Medical Image Recognition<br>13. Identifying Cardiovascular Abnormalities<br>14. Non-linear Activation Functions of CNN for Classification of MRI Brain tumor Images<br>15. Artificial Intelligence-Based Management Prospects of Neurological Disorders with Special Reference to Epilepsy<br>16. Screening for Common Cancers</p>