Big Data and Machine Learning in Healthcare Applications
Harvard Extension School
CSCI E-87
Section 1
CRN 17070
While large volumes of digital healthcare data have been captured for decades, we are only starting to mine them for information that can significantly advance healthcare delivery and quality. Built from many practical experiences, this course teaches students how to apply big data analytics and machine learning to the most challenging problems found in modern hospitals. We cover several important areas—operational, clinical, and imaging—using hands-on examples and real problems. Students not only learn how to build efficient data models, but also how to implement them in different healthcare environments, avoiding the most common pitfalls and achieving meaningful results.
Registration Closes: August 29, 2024
Credits: 4
View Tuition Information Term
Fall Term 2024
Part of Term
Full Term
Format
Live Attendance Web Conference
Credit Status
Graduate, Noncredit, Undergraduate
Section Status
Open