Predicting seizure recurrence after an initial seizure-like episode from routine clinical notes using large language models: a retrospective cohort study-Reference-Cited by-同舟云学术

Predicting seizure recurrence after an initial seizure-like episode from routine clinical notes using large language models: a retrospective cohort study

Published:2023-12 Issue:12 Volume:5 Page:e882-e894
ISSN:2589-7500
Container-title:The Lancet Digital Health
language:en
Short-container-title:The Lancet Digital Health

Author:

Beaulieu-Jones Brett K,Villamar Mauricio F,Scordis Phil,Bartmann Ana Paula,Ali Waqar,Wissel Benjamin D,Alsentzer Emily,de Jong Johann,Patra Arijit,Kohane Isaac

Funder

UCB Pharma SA

National Institutes of Health

National Institute of Neurological Disorders and Stroke

School of Public Health, University of California Berkeley

Publisher

Elsevier BV

Subject

Health Information Management,Decision Sciences (miscellaneous),Health Informatics,Medicine (miscellaneous)

Reference60 articles.

1. Incidence of first seizures, epilepsy, and seizure mimics in a geographically defined area;Maloney;Neurology,2020

2. Seizure mimics in children: an age-based approach;Stainman;Curr Probl Pediatr Adolesc Health Care,2020

3. Operational diagnosis of epilepsy in children at undetermined risk: a meta-analysis of prognostic factors for seizure recurrence;Pellino;Epilepsy Behav,2022

4. Antiepileptic drug treatment of epilepsy in children;Moosa;Continuum,2019

5. ILAE official report: a practical clinical definition of epilepsy;Fisher;Epilepsia,2014

Cited by 2 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Potential merits and flaws of large language models in epilepsy care: A critical review;Epilepsia;2024-02-02

2. Predicting seizure recurrence from medical records using large language models;The Lancet Digital Health;2023-12