Coursera Plus Annual is 40% Off — Ends July 6.

Class Central is learner-supported. When you buy through links on our site, we may earn an affiliate commission.

YouTube

Machine Learning for Computational Biology: Electronic Health Records - Lecture 19

Manolis Kellis via YouTube

Start learning Write review
Coursera Ad

AI, Data Science & Cloud Certificates from Google, IBM & Meta

Learn More → Unihackers Ad

Launch Your Cybersecurity Career in 6 Months

Learn More →

Overview

AI, Data Science & Cloud Certificates from Google, IBM & Meta — 40% Off
One plan covers every Professional Certificate on Coursera. 40% off Coursera Plus Annual.
Unlock All Certificates
Learn about Electronic Health Records (EHRs) and their applications in Machine Learning for Computational Biology (MLCB) through this comprehensive 89-minute lecture. Explore how EHR data is structured, analyzed, and utilized in healthcare settings, while understanding the intersection of machine learning techniques with medical record systems. Discover the challenges and opportunities in processing clinical data, privacy considerations, and the potential impact of ML algorithms on improving patient care through EHR analysis.

Syllabus

Lecture19 - EHRs - MLCB

Taught by

Manolis Kellis

Reviews

Start your review of Machine Learning for Computational Biology: Electronic Health Records - Lecture 19

Start learning

Never Stop Learning.

Get personalized course recommendations, track subjects and courses with reminders, and more.

Sign up for free
Someone learning on their laptop while sitting on the floor.