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Using Electronic Health Records to Support Patient Care and Clinical Research
Electronic health records (EHR) contains rich clinical phenotype information. In this talk, I will present methods and early results from two projects to demonstrate the potential of using EHR data to facilitate precision ...
Machine Learning from Irregularly-Sampled Temporal Data: A Case Study in Predicting Across Most Diseases in Electronic Health Records
Much of the world’s real data on people is irregularly-sampled, temporal, and observational (meaning we don’t get to experiment as in a randomized clinical trial). For example, customers make purchases on various dates ...
Big Data in Behavioral Medicine
The explosion of health-related data in the form of electronic health records and genomics has captured the attention of both the machine learning and medical informatics communities. In his talk, Dr. Rehg will describe ...