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

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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…

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

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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 as a way to “…give tomorrow’s clinicians the tools and the data they need to…