ArticleAMIA ... Annual Symposium proceedings. AMIA Symposium2015
Automated Extraction of Substance Use Information from Clinical Texts.
Article in AMIA ... Annual Symposium proceedings. AMIA Symposium, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 36 papers, 2 of them syntheses that pooled it.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
36 citing papers in PubMed, 2 syntheses or guidelines pooled it, 47 citations in OpenAlex.
- Extracting social determinants of health from electronic health records using natural language processing: a systematic review.Journal of the American Medical Informatics Association : JAMIA · 2021Pooled it
- Can antiepileptic efficacy and epilepsy variables be studied from electronic health records? A review of current approaches.Seizure · 2021Pooled it
- Synth-SBDH: A Synthetic Dataset of Social and Behavioral Determinants of Health for Clinical Text.Proceedings of the Conference on Empirical Methods in Natural Language Processing. Conference on Empirical Methods in Natural Language Processing · 2025Article
- Enhancing substance use detection in clinical notes with large language models.Drug and alcohol dependence · 2025Article
- Extracting Social Determinants of Health from Dental Clinical Notes.Applied clinical informatics · 2025Article
- Enhancing Substance Use Detection in Clinical Notes with Large Language Models.Research square · 2025Article
- One Third of Alcohol Use Disorder Diagnoses are Missed by ICD Coding.Substance use & addiction journal · 2025Article
- Extraction of Substance Use Information From Clinical Notes: Generative Pretrained Transformer-Based Investigation.JMIR medical informatics · 2024Article
- Identifying social determinants of health from clinical narratives: A study of performance, documentation ratio, and potential bias.Journal of biomedical informatics · 2024Article
- Question-answering system extracts information on injection drug use from clinical notes.Communications medicine · 2024Article
- Disparities in cannabis use and documentation in electronic health records among children and young adults.NPJ digital medicine · 2023Article
- Extracting social determinants of health from clinical note text with classification and sequence-to-sequence approaches.Journal of the American Medical Informatics Association : JAMIA · 2023Article
- The 2022 n2c2/UW shared task on extracting social determinants of health.Journal of the American Medical Informatics Association : JAMIA · 2023Article
- Capturing Individual-level Social Determinants from Clinical Text.AMIA ... Annual Symposium proceedings. AMIA Symposium · 2023Article
- Automated Detection of Substance-Use Status and Related Information from Clinical Text.Sensors (Basel, Switzerland) · 2022Article
- An Investigation of the Representation of Social Determinants of Health in the UMLS.AMIA ... Annual Symposium proceedings. AMIA Symposium · 2022Article
- Automated detection of substance use information from electronic health records for a pediatric population.Journal of the American Medical Informatics Association : JAMIA · 2021Article
- Adaptation of an NLP system to a new healthcare environment to identify social determinants of health.Journal of biomedical informatics · 2021Article
- Annotating social determinants of health using active learning, and characterizing determinants using neural event extraction.Journal of biomedical informatics · 2021Article
- Validation of an alcohol misuse classifier in hospitalized patients.Alcohol (Fayetteville, N.Y.) · 2020Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
8 authors at 1 institution in 1 country.
Funding
Abstract
Within clinical discourse, social history (SH) includes important information about substance use (alcohol, drug, and nicotine use) as key risk factors for disease, disability, and mortality. In this study, we developed and evaluated a natural language processing (NLP) system for automated detection of substance use statements and extraction of substance use attributes (e.g., temporal and status) based on Stanford Typed Dependencies. The developed NLP system leveraged linguistic resources and domain knowledge from a multi-site social history study, Propbank and the MiPACQ corpus. The system attained F-scores of 89.8, 84.6 and 89.4 respectively for alcohol, drug, and nicotine use statement detection, as well as average F-scores of 82.1, 90.3, 80.8, 88.7, 96.6, and 74.5 respectively for extraction of attributes. Our results suggest that NLP systems can achieve good performance when augmented with linguistic resources and domain knowledge when applied to a wide breadth of substance use free text clinical notes.
Indexed as
Identifiers
26958312PMC4765598W2424055918What OpenQuestion holds
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.