ArticleJournal of biomedical informatics2017
A natural language processing challenge for clinical records: Research Domains Criteria (RDoC) for psychiatry.
Article in Journal of biomedical informatics, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers, 1 of them a synthesis 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
6 citing papers in PubMed, 1 synthesis or guideline pooled it.
- Natural language processing of symptoms documented in free-text narratives of electronic health records: a systematic review.Journal of the American Medical Informatics Association : JAMIA · 2019Pooled it
- Identifying suicide documentation in clinical notes through zero-shot learning.Health science reports · 2023Article
- Natural Language Processing: from Bedside to Everywhere.Yearbook of medical informatics · 2022Article
- Stratifying risk for dementia onset using large-scale electronic health record data: A retrospective cohort study.Alzheimer's & dementia : the journal of the Alzheimer's Association · 2020Article
- Advancing the State of the Art in Clinical Natural Language Processing through Shared Tasks.Yearbook of medical informatics · 2018Review
- Using a natural language processing toolkit to classify electronic health records by psychiatric diagnosis.Health informatics journalArticle
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
3 authors.
Funding
Abstract
PubMed holds no abstract for this paper.
Indexed as
Identifiers
What 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.