DEVELOPING A FRAMEWORK TO INFER OPIOID USE DISORDER SEVERITY FROM CLINICAL NOTES TO INFORM NATURAL LANGUAGE PROCESSING METHODS: CHARACTERIZATION STUDY

Developing a Framework to Infer Opioid Use Disorder Severity From Clinical Notes to Inform Natural Language Processing Methods: Characterization Study

BackgroundInformation regarding opioid use disorder (OUD) status and severity is important for patient care.Clinical notes provide valuable information for detecting and characterizing problematic opioid use, necessitating development of natural language processing (NLP) tools, which in turn requires reliably labeled OUD-relevant text and understan

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Development of a Web-Based Clinical Decision Support System for Drug Prescription: Non-Interventional Naturalistic Description of the Antipsychotic Prescription Patterns in 4345 Outpatients and Future Applications.

The emergence of electronic prescribing devices with clinical decision support systems (CDSS) is able to significantly improve management pharmacological treatments.We developed a web application available on smartphones in order to help clinicians monitor prescription and further propose CDSS.A web application (www.MEmind.net) was developed to ass

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