AI for Medical Prognosis
Completed by Arife Neslihan Kaya
August 20, 2024
29 hours (approximately)
Arife Neslihan Kaya'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: Model Evaluation
- Category: Statistical Analysis
- Category: Predictive Analytics
- Category: Deep Learning
- Category: Feature Engineering
- Category: Random Forest Algorithm
- Category: Forecasting
- Category: Statistical Methods
- Category: Statistical Machine Learning
- Category: Classification And Regression Tree (CART)
- Category: Risk Analysis
- Category: Data Cleansing
