AI for Medical Prognosis
Completed by David Adrián Cañones
April 29, 2020
29 hours (approximately)
David Adrián Cañones's account is verified. Coursera certifies their successful completion of AI for Medical Prognosis
What you will learn
Walk through examples of prognostic tasks
Apply tree-based models to estimate patient survival rates
Navigate practical challenges in medicine like missing data
Skills you will gain
- Category: Statistical Modeling
- Category: Random Forest Algorithm
- Category: Predictive Analytics
- Category: Biostatistics
- Category: Statistical Machine Learning
- Category: Forecasting
- Category: Decision Tree Learning
- Category: Classification And Regression Tree (CART)
- Category: Risk Modeling
- Category: Feature Engineering
- Category: Predictive Modeling
- Category: Model Evaluation
