HDS 805 (01) - Applied Machine Learning in Healthcare

Machine Learning in Healthcare

Durham   Health & Human Services :: Health Data Science
Online Course Delivery Method: Online Asynchronous
Credits: 3.0
Term: Spring 2024 - Term 4 (03/25/2024 - 05/17/2024)
Grade Mode: Letter Grading
Class Size:   15  
CRN: 53712
This course covers the foundations of machine learning in healthcare systems including algorithms related to classification and regression prediction in supervised setting, clustering and dimension reduction in an unsupervised setting. Topics include data preprocessing and classification techniques such as logistic regression, support vector machines, KNN, Na'ive Bayes', ensemble methods such as random forests, boosted trees, XGBoost, dimension reduction techniques such as principal components analysis, t-distributed scholastic neighborhood embedding, ISOMAP, locally linear embedding, UMAP, multidimensional scaling.
Registration Approval Required. Contact Instructor or Academic Department for permission then register through Webcat.
Prerequisite(s): HDS 800 and HDS 801 and HDS 802
Attributes: Online (no campus visits), EUNH
Instructors: Esmaeil Bahalkeh

Times & Locations

Start Date End Date Days Time Location
3/25/2024 5/17/2024 Hours Arranged ONLINE