Leveraging a Natural Language Processing Model (Transformers) on Electronic Medical Record Notes to Classify Persistent Opioid Use After Surgery.
- Resource Type
- Editorial & Opinion
- Authors
- Gabriel RA; From the Division of Perioperative Informatics, Department of Anesthesiology.; Park BH; From the Division of Perioperative Informatics, Department of Anesthesiology.; Mehdipour S; From the Division of Perioperative Informatics, Department of Anesthesiology.; Bongbong DN; School of Medicine, University of California, San Diego, La Jolla, California.; Simpson S; From the Division of Perioperative Informatics, Department of Anesthesiology.; Waterman RS; From the Division of Perioperative Informatics, Department of Anesthesiology.
- Source
- Publisher: Lippincott Williams & Wilkins Country of Publication: United States NLM ID: 1310650 Publication Model: Print-Electronic Cited Medium: Internet ISSN: 1526-7598 (Electronic) Linking ISSN: 00032999 NLM ISO Abbreviation: Anesth Analg Subsets: MEDLINE
- Subject
- Language
- English
Competing Interests: Conflicts of Interest: See Disclosures at the end of the article.