DS BMED 208
Recent Research in Machine Learning in Medicine
Data Science in Biomedicine · 4 units · Graduate courses (200-299)
Overview of recent research in machine learning applied to medicine. Covers recent papers utilizing data science approaches to analyze large amounts of medical data. Topics include analysis of medical imaging data, electronic health records, and waveforms. Students receive instruction on how to read recent research papers, and present these papers in class. May be repeated twice for credit.
Letter grading.
When it runs
Checking the Schedule of Classes…
Requisites
Official UCLA wording
Requisite: course 200 or equivalent.
BruinTree reads · Prerequisite
confidence 1.00 · from UCLA’s structured dataRequires
Everything that has to come before this course, not just the courses named in the requisite above.
DS BMED 208
- DS BMED 200Foundations of Data Science
1 direct requisite. The whole upstream is here — 1 course over 1 level. Every course here opens its own tree.
Unlocks
What this course is a requisite for, and what those courses lead to in turn.
No course in the catalog lists this as a requisite.