Using clinical Natural Language Processing for health outcomes …
Here we provide a broad summary and outline of the challenging issues involved in defining appropriate intrinsic and extrinsic evaluation methods for NLP research that is to be used for …
(PDF) Natural Language Processing in Electronic Health Records …
Feb 1, 2023 · Background: Natural Language Processing (NLP) is widely used to extract clinical insights from Electronic Health Records (EHRs). However, the lack of annotated data, …
Natural Language Processing in Electronic Health Records in …
Background: Natural Language Processing (NLP) is widely used to extract clinical insights from Electronic Health Records (EHRs). However, the lack of annotated data, automated tools, and …
Natural language processing in medicine: A review
Jun 1, 2021 · NLP is able to process and understand natural human language, as well as generate appropriate natural human language. NLP enables analysis of previously difficult to …
Longitudinal evolution of the transdiagnostic prodrome to severe mental …
Modelling the prodrome to severe mental disorders (SMD), including unipolar mood disorders (UMD), bipolar mood disorders (BMD) and psychotic disorders (PSY), should consider both …
Proceedings of the 2020 Conference on Empirical Methods in Natural …
4 days ago · Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing (EMNLP). Association for Computational Linguistics, Online. More options…
Natural language processing applied to mental illness detection: …
Apr 8, 2022 · We provide a narrative review of mental illness detection using NLP in the past decade, to understand methods, trends, challenges and future directions.