AI for Medical Prognosis
Completed by Guillermo Sanz Martín
December 29, 2024
29 hours (approximately)
Guillermo Sanz Martín'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: Biostatistics
- Category: Forecasting
- Category: Model Evaluation
- Category: Machine Learning
- Category: Data Preprocessing
- Category: Random Forest Algorithm
- Category: Statistical Modeling
- Category: Statistical Methods
- Category: Risk Analysis
- Category: Decision Tree Learning
- Category: Deep Learning
- Category: Risk Modeling
