AI for Medical Prognosis
Completed by Kelvin Ebiyomare
July 19, 2025
29 hours (approximately)
Kelvin Ebiyomare'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: Applied Machine Learning
- Category: Predictive Analytics
- Category: Model Evaluation
- Category: Random Forest Algorithm
- Category: Statistical Modeling
- Category: Predictive Modeling
- Category: Classification And Regression Tree (CART)
- Category: Statistical Analysis
- Category: Feature Engineering
- Category: Machine Learning
- Category: Deep Learning
- Category: Decision Tree Learning
