Machine Learning for Medical Data
Completed by Nadiia Kozorovska
January 14, 2026
10 hours (approximately)
Nadiia Kozorovska'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: Health Informatics
- Category: Convolutional Neural Networks
- Category: AI Personalization
- Category: Electronic Medical Record System
- Category: Predictive Modeling
- Category: Statistical Machine Learning
- Category: Machine Learning Methods
- Category: Machine Learning
- Category: Data Analysis
- Category: Data Preprocessing
- Category: Recurrent Neural Networks (RNNs)
- Category: Deep Learning
