ArticleEpilepsia2023
Long-term epilepsy outcome dynamics revealed by natural language processing of clinic notes.
Article in Epilepsia, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 22 papers.
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Who cites it
22 citing papers in PubMed.
- Modern generative large language models in epilepsy care: a scoping review of current applications, challenges, and future directions.Acta epileptologica · 2026Review
- Clinical application of artificial intelligence technology in epilepsy.Acta epileptologica · 2026Review
- Natural Language Processing Applied to Psychiatric Clinical Notes: Scoping Review.JMIR medical informatics · 2026Article
- Association between Interictal Spike Rate and Seizure Frequency in a Large Epilepsy Cohort.medRxiv : the preprint server for health sciences · 2026Article
- Optimizing Antiseizure Medication Taper in the Epilepsy Monitoring Unit.Neurology. Clinical practice · 2026Article
- Utilizing natural language processing (NLP) to identify breast cancer-associated lung metastases from pathology reports to delineate characteristics of this site of recurrence.Breast cancer research and treatment · 2026Article
- An autonomous agentic workflow for clinical detection of cognitive concerns using large language models.NPJ digital medicine · 2026Article
- Comparative effectiveness of anti-seizure medications in emulated trials using medical informatics.Brain : a journal of neurology · 2025Article
- AI language model applications for early diagnosis of childhood epilepsy based on unstructured first-visit patient narratives: A cohort study.Epileptic disorders : international epilepsy journal with videotape · 2025Article
- Zero-Shot Extraction of Seizure Outcomes from Clinical Notes Using Generative Pretrained Transformers.Journal of healthcare informatics research · 2025Article
- Extracting epilepsy-related information from unstructured clinic letters using large language models.Epilepsia · 2025Article
- Clinical insights: A comprehensive review of language models in medicine.PLOS digital health · 2025Review
- Inductive reasoning with large language models: A simulated randomized controlled trial for epilepsy.Epilepsy research · 2025Article
- Epilepsy clinic analytics: leveraging EMR reporting tools to characterize center volume and complexity.Frontiers in neurology · 2025Article
- Semiology Extraction and Machine Learning-Based Classification of Electronic Health Records for Patients With Epilepsy: Retrospective Analysis.JMIR medical informatics · 2024Article
- Annotation of epilepsy clinic letters for natural language processing.Journal of biomedical semantics · 2024Article
- Artificial intelligence in epilepsy - applications and pathways to the clinic.Nature reviews. Neurology · 2024Review
- Disparities in seizure outcomes revealed by large language models.Journal of the American Medical Informatics Association : JAMIA · 2024Article
- Alcohol for seizure induction in the epilepsy monitoring unit.Epilepsy & behavior : E&B · 2024Article
- Machine Learning and Artificial Intelligence Applications to Epilepsy: a Review for the Practicing Epileptologist.Current neurology and neuroscience reports · 2023Review
Corrections and comments
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Authors and funding
10 authors.
Funding
Abstract
objectiveElectronic medical records allow for retrospective clinical research with large patient cohorts. However, epilepsy outcomes are often contained in free text notes that are difficult to mine. We recently developed and validated novel natural language processing (NLP) algorithms to automatically extract key epilepsy outcome measures from clinic notes. In this study, we assessed the feasibility of extracting these measures to study the natural history of epilepsy at our center.
methodsWe applied our previously validated NLP algorithms to extract seizure freedom, seizure frequency, and date of most recent seizure from outpatient visits at our epilepsy center from 2010 to 2022. We examined the dynamics of seizure outcomes over time using Markov model-based probability and Kaplan-Meier analyses.
resultsPerformance of our algorithms on classifying seizure freedom was comparable to that of human reviewers (algorithm F SIGNIFICANCE: Our findings demonstrate that epilepsy outcome measures can be extracted accurately from unstructured clinical note text using NLP. At our tertiary center, the disease course often followed a remitting and relapsing pattern. This method represents a powerful new tool for clinical research with many potential uses and extensions to other clinical questions.
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.