6. Machine Learning for Healthcare (Janani Ravi, 2021)

1. Course Overview: 1. Course Overview 00:00:00 2. Exploring Applications of Machine Learning in Healthcare: 1. Version Check 00:01:58 2. Prerequisites and Course Outline 00:02:14 3. AIML in Healthcare 00:04:13 4. Use Cases of ML in Healthcare - Epidemic Control 00:09:01 5. Use Cases of ML in Healthcare - AI-assisted Robotic Surgery 00:12:32 6. Use Cases of ML in Healthcare - Predictive Analytics 00:17:12 7. Use Cases of ML in Healthcare - Automating Administrative Tasks 00:21:39 8. Convolutional Neural Networks to Work with Images 00:24:52 9. Challenges in Applying ML to Healthcare 00:32:19 3. Case Study - Disease Detection Using Machine Learning: 1. Chronic Disease Detection - Background and Context 00:38:28 2. Chronic Disease Prediction - Data and Data Preprocessing 00:45:44 3. Chronic Disease Prediction - Models and Negation Tagging 00:52:25 4. Chronic Disease Prediction - Results and Model Interpretation 00:55:20 4. Case Study - Diagnosis Using Medical Imaging: 1. Diagnosis Using Medical Imaging - Background and Context 00:58:46 2. Diagnosis Using Medical Imaging - Data and Models 01:06:03 3. Diagnosis Using Medical Imaging - Results and Evaluation 01:12:56 5. Applying Machine Learning Techniques to Healthcare Data: 1. Classification and Regression 01:17:21 2. Demo - Predicting Blood Pressure - Exploring the Dataset 01:19:21 3. Demo - Predicting Blood Pressure - Performing Regression 01:26:28 4. Demo - Predicting Liver Disease - Data Exploration 01:33:52 5. Demo - Predicting Liver Disease - Performing Classification 01:39:59 6. Summary Resources Used and Further Study 01:47:29