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

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 … Continue reading “Novel approach to help predict and diagnose diseases tracks electronic health records over time using machine learning”

Informatics and electronic health records can help integrate context into health care

Social determinants of health (complex contextual factors) are considered to have a profound impact on our health, yet are not part of our health care system. Harvard Pop Center faculty member Hossein Estiri, PhD, is an author of a Perspective published in JAMIA Open that makes a case for utilizing informatics and electronic health records … Continue reading “Informatics and electronic health records can help integrate context into health care”