AI For Medicine (Coursera)

Following are the 3 courses in AI for Medicine Specialization from Coursera.

Course 1. AI for Medical Diagnosis

1. Chest X-Ray Medical Diagnosis with Deep Learning

• Data Exploration
• Weight Loss
• Densenet
• Overlap and Leakage 2. Evaluation of Diagnostic Models

3. Brain Tumor Auto-Segmentation for Magnetic Resonance Imaging (MRI)

• Unet Model

Course 2. AI for Medical Prognosis

1. Linear Risk Model

• Risk Scores
• Combine Features
• Concordance Index

2. Risk Model using Tree Based Models

• Survival Estimates that vary with time
• Hazard Function

3. Cox Proportional Hazards and Random Survival Forests

Course 3. AI for Medical Treatment (Not finished yet)

1. Estimating Treatment Effect Using ML

• Logistic Regression Model

2. Natural Language Entity Extraction

• Build a treatment effect predictor, apply model interpretation techniques
• Natural language processing to extract information from radiology reports
• Explore how Natural language extraction can more efficiently label medical datasets.

Some nice resources

• Mit Course website
• healthcare.ai Git repo

Some open-source health care data

• The Cancer Genome Atlas (TCGA)
• Alzheimer's Disease Neuriimaging initiative (ADNI)
• Health and Retirement Study (HRS)
• UK Biobank
• Millennium Cohort Study
• CALIBER (EHR and admin data)
• UCI Machine Learning Repository