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Researcher

Matthew Miller

Northeastern University

1 development in the corpus

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JUL 10, 2026 · JOURNAL ARTICLE

Phenotyping antidepressant treatment response with deep learning in electronic health records

Translational Psychiatry

A single-centre, real-world validation study of machine-learning phenotyping using surrogate (note-based) classification of treatment response, without comparison to gold-standard clinical outcomes or prospective clinical utility demonstration.

PreliminaryColin Magdamo Deborah Blacker Sudeshna Das

Reported

Sample size111572

Manually annotated notes (total)4299

AUROC – all models (minimum)0.80

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