Holmusk Announces New Publication: Deep Learning-Based Natural Language Processing Models that Translate Unstructured Psychiatry Notes into Quantifiable Measures
(1) Publication details how Holmusk's NLP models can transform unstructured psychiatry notes from EHRs into a structured, quantifiable format to enable analysis and rich insights SINGAPORE and NEW YORK, Feb. 16, 2021 /PRNewswire/ -- Holmusk, a leading global data science and digital health company building the largest Real-World Evidence (RWE) platform for behavioral health, today announced the publication of its scientific article " Natural Language Processing-Based Quantification of the Mental State of Psychiatric Patients", in Computational Psychiatry (MIT Press). Full text here: https://...
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