Toward personalizing treatment for depression: predicting diagnosis and severity
Journal of the American Medical Informatics Association2014Vol. 21(6), pp. 1069–1075
Citations Over TimeTop 10% of 2014 papers
Abstract
It is possible to use EHR data to predict a diagnosis of depression up to 12 months in advance and to differentiate between extreme baseline levels of depression. The models use commonly available data on diagnosis, medication, and clinical progress notes, making them easily portable. The ability to automatically determine severity can facilitate assembly of large patient cohorts with similar severity from multiple sites, which may enable elucidation of the moderators of treatment response in the future.
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