Unsupervised Machine Learning Elicits Patient Archetypes in a Primary Percutaneous Coronary Intervention Service

Aleeha Iftikhar, RR Bond, V. E. McGilligan, Khaled Rjoob, Stephen Leslie, Charles Knoery, Anne McShane, Aaron Peace

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

7 Downloads (Pure)

Fingerprint Dive into the research topics of 'Unsupervised Machine Learning Elicits Patient Archetypes in a Primary Percutaneous Coronary Intervention Service'. Together they form a unique fingerprint.

Mathematics

Chemical Compounds

Engineering & Materials Science

Medicine & Life Sciences