ArticleFrontiers in artificial intelligence2021
BERT-Based Natural Language Processing of Drug Labeling Documents: A Case Study for Classifying Drug-Induced Liver Injury Risk.
Article in Frontiers in artificial intelligence, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 papers.
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
14 citing papers in PubMed, 24 citations in OpenAlex.
- DILIConsult: A Multi-Agent Large Language Model Framework for Evaluating Drug-Induced Liver Injury in ICU Settings.Pharmacotherapy · 2026Article
- Big Data for Drug Discovery: Some Historical Landscape, Considerations, and Applications for a Medicinal Chemist.ACS omega · 2026Review
- Leveraging FDA Labeling Documents and Large Language Model to Enhance Annotation, Profiling, and Classification of Drug Adverse Events with AskFDALabel.Drug safety · 2025Article
- Comparative analysis of natural language processing methodologies for classifying computed tomography enterography reports in Crohn's disease patients.NPJ digital medicine · 2025Article
- Innovation and challenges of artificial intelligence technology in personalized healthcare.Scientific reports · 2024Review
- PolyAMiner-Bulk is a deep learning-based algorithm that decodes alternative polyadenylation dynamics from bulk RNA-seq data.Cell reports methods · 2024Article
- Automatic text classification of drug-induced liver injury using document-term matrix and XGBoost.Frontiers in artificial intelligence · 2024Article
- Assessing the performance of large language models in literature screening for pharmacovigilance: a comparative study.Frontiers in drug safety and regulation · 2024Article
- RxBERT: Enhancing drug labeling text mining and analysis with AI language modeling.Experimental biology and medicine (Maywood, N.J.) · 2023Article
- Computational models for predicting liver toxicity in the deep learning era.Frontiers in toxicology · 2023Review
- NeuroCORD: A Language Model to Facilitate COVID-19-Associated Neurological Disorder Studies.International journal of environmental research and public health · 2022Article
- dialogi: Utilising NLP With Chemical and Disease Similarities to Drive the Identification of Drug-Induced Liver Injury Literature.Frontiers in genetics · 2022Article
- An Invitation to Greater Use of Matthews Correlation Coefficient in Robotics and Artificial Intelligence.Frontiers in robotics and AI · 2022Article
- DILIFrontiers in genetics · 2022Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
5 authors at 2 institutions in 1 country.
Funding
No grant is acknowledged in the PubMed record.
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.