AI for Medicine Specialization
I have completed this specialization from Coursera by deeplearning.ai. This specialization consists of 3 courses.1) AI for Medical Diagnosis, 2) AI for Medical Prognosis and 3) AI for Medical Treatment. I have learned many things ,such as: Diagnosing diseases from x-rays and 3D MRI brain images,Predicting patient survival rates more accurately using tree-based models,Estimating treatment effects on patients using data from randomized trials , Automating the task of labeling medical datasets using natural language processing etc.
- AI for Medical Diagnosis
- Week 1
- Chest X-Ray Medical Diagnosis with Deep Learning
- Week 2
- Evaluation of Diagnostic Models
- Week 3
- Brain Tumor Auto-Segmentation for MRI
- Week 1
- AI for Medical Prognosis
- Week 1
- Diagnosing Diseases using Linear Risk Models
- Week 2
- Risk Models Using Machine Learning
- Week 3
- Non-Parametric Estimators for Survival Analysis
- Week 4
- Cox Proportional Hazards and Random Survival Forests
- Week 1
- AI for Medical Treatment
- Week 1
- Estimating Treatment Effect Using Machine Learning
- Week 2
- Natural Language Entity Extraction
- Week 3
- ML Interpretation
- Week 1
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