Page To Speak in NLM Lecture Series
The next topic in the National Library of Medicine Informatics Lecture Series is “High-Throughput Machine Learning from EHR Data,” given by Dr. David Page on Wednesday, Mar. 8 from 2 to 3 p.m. in Lister Hill Center Auditorium, Bldg. 38A.
The widespread use of electronic health records and the many recent successes of machine learning raise at least two questions to be discussed in Page’s talk: How well can future health events of patients be predicted from EHR data, at various lengths of time in advance? And how can such predictions improve human health?
Page is a Vilas distinguished achievement professor at the University of Wisconsin. His primary appointment is in the department of biostatistics and medical informatics in the School of Medicine and Public Health, with another appointment in the department of computer sciences, where he teaches machine learning. He directs the Cancer Informatics Shared Resource of the Carbone Cancer Center and is a member of the Genome Center of Wisconsin.