Novel approach to help predict and diagnose diseases tracks electronic health records over time using machine learning

Head shot of Estiri_Hossein

Harvard Pop Center faculty member Hossein Estiri, PhD, is an author on a study published in Cell Patterns that is receiving attention in the media for its sequential approach to mining meaningful (as it relates to predicting and diagnosing diseases) patient information from complex electronic health records.

“In this paper, we propose an algorithm for exploiting the temporal information in the EHRs that is distorted by layers of administrative and health care system processes.”

Learn more…