Machine Learning for Medical Data
Completed by Heong Fai Michael Liu
March 30, 2026
10 hours (approximately)
Heong Fai Michael Liu's account is verified. Coursera certifies their successful completion of Machine Learning for Medical Data
What you will learn
Define supervised and unsupervised machine learning techniques used for healthcare datasets.
Apply preprocessing, feature engineering, and class-imbalance management techniques to real healthcare datasets.
Design and implement supervised learning models for disease prediction and clinical decision support tasks.
Evaluate model performance using precision-recall metrics, calibration, and external validation.
Skills you will gain
- Category: Data Analysis
- Category: Healthcare Ethics
- Category: Health Informatics
- Category: Machine Learning Algorithms
- Category: Machine Learning
- Category: Convolutional Neural Networks
- Category: Machine Learning Methods
- Category: Deep Learning
- Category: Model Evaluation
- Category: AI Personalization
- Category: Electronic Medical Record System
- Category: Data Preprocessing
