Contact and support
Need help, have a question, or want to contact the ResearchHub team?
© 2026 ResearchHub. Built for responsible scholarly connection.
Research graph
References from From explainable to interpretable deep learning for natural language processing in healthcare: How far from reality?. Local targets link to admitted publications; unresolved targets remain external evidence.
10.18653/v1/2022.acl-long.578
10.18653/v1/2022.acl-long.578 · 2022 · External reference
Natural language processing of symptoms documented in free-text narratives of electronic health records: a systematic review
10.1093/jamia/ocy173 · 2019 · External reference
Unresolved reference
2022 · External reference
Unresolved reference
2022 · External reference
Unresolved reference
2022 · External reference
10.18653/v1/2022.findings-emnlp.349
10.18653/v1/2022.findings-emnlp.349 · 2022 · External reference
Unresolved reference
2022 · External reference
Unresolved reference
2022 · External reference
10.18653/v1/2022.acl-long.15
10.18653/v1/2022.acl-long.15 · 2022 · External reference
10.18653/v1/2022.acl-long.350
10.18653/v1/2022.acl-long.350 · 2022 · External reference
Unresolved reference
2022 · External reference
Clinical-bert: vision-language pre-training for radiograph diagnosis and reports generation
2022 · External reference
Unresolved reference
2019 · External reference
Unresolved reference
2022 · External reference
10.18653/v1/2022.bionlp-1.16
10.18653/v1/2022.bionlp-1.16 · 2022 · External reference
10.1038/323533a0
10.1038/323533a0 · External reference
10.1162/neco.1997.9.8.1735
10.1162/neco.1997.9.8.1735 · External reference
Unresolved reference
2014 · External reference
Attention is all you need
2017 · External reference
10.18653/v1/2020.aacl-main.46
10.18653/v1/2020.aacl-main.46 · 2020 · External reference
Unresolved reference
External reference
10.1093/jamia/ocaa053
10.1093/jamia/ocaa053 · External reference
Word-level text highlighting of medical texts for telehealth services
10.1016/j.artmed.2022.102284 · 2022 · External reference
Discrete-time survival analysis in the critically ill: a deep learning approach using heterogeneous data
10.1038/s41746-022-00679-6 · 2022 · External reference
Explainable prediction of medical codes with knowledge graphs
10.3389/fbioe.2020.00867 · 2020 · External reference
Explainable automated coding of clinical notes using hierarchical label-wise attention networks and label embedding initialisation
10.1016/j.jbi.2021.103728 · 2021 · External reference
10.1145/3236386.3241340
10.1145/3236386.3241340 · External reference
Unresolved reference
External reference
Machine learning interpretability: a survey on methods and metrics
10.3390/electronics8080832 · 2019 · External reference
10.1038/s42256-019-0048-x
10.1038/s42256-019-0048-x · External reference
10.7326/0003-4819-151-4-200908180-00135
10.7326/0003-4819-151-4-200908180-00135 · External reference
10.1016/j.aiopen.2022.10.001
10.1016/j.aiopen.2022.10.001 · External reference
Classification of cancer pathology reports: a large-scale comparative study
10.1109/jbhi.2020.3005016 · 2020 · External reference
Empowering digital pathology applications through explainable knowledge extraction tools
10.1016/j.jpi.2022.100139 · 2022 · External reference
Unresolved reference
2021 · External reference
10.3390/info13030137
10.3390/info13030137 · External reference
Deep neural networks for simultaneously capturing public topics and sentiments during a pandemic: application on a covid-19 tweet data set
10.2196/34306 · 2022 · External reference
Unresolved reference
2021 · External reference
Automatic phenotyping of electronical health record: Phevis algorithm
10.1016/j.jbi.2021.103746 · 2021 · External reference
Revealing opinions for covid-19 questions using a context retriever, opinion aggregator, and question-answering model: model development study
10.2196/22860 · 2021 · External reference
Unresolved reference
2021 · External reference
Improving diabetes-related biomedical literature exploration in the clinical decision-making process via interactive classification and topic discovery: methodology development study
10.2196/27434 · 2022 · External reference
10.1145/3365109.3368791
10.1145/3365109.3368791 · 2019 · External reference
Unresolved reference
2022 · External reference
Unresolved reference
2021 · External reference
Unresolved reference
2022 · External reference
Interpretable segmentation of medical free-text records based on word embeddings
10.1007/s10844-021-00659-4 · 2021 · External reference
10.1016/j.jbi.2018.06.016
10.1016/j.jbi.2018.06.016 · External reference
10.1145/3524887
10.1145/3524887 · External reference
Dice: a drug indication classification and encyclopedia for ai-based indication extraction
10.3389/frai.2021.711467 · 2021 · External reference
Language impairment in Alzheimer's disease—robust and explainable evidence for ad-related deterioration of spontaneous speech through multilingual machine learning
2021 · External reference
10.18653/v1/2021.findings-acl.311
10.18653/v1/2021.findings-acl.311 · 2021 · External reference
Machine learning and natural language processing methods to identify ischemic stroke, acuity and location from radiology reports
10.1371/journal.pone.0234908 · 2020 · External reference
Analysis of risk factor domains in psychosis patient health records
10.1186/s13326-019-0210-8 · 2019 · External reference
Unresolved reference
2019 · External reference
Explainable deep learning based medical diagnostic system
10.1016/j.smhl.2019.03.002 · 2019 · External reference
Exploring how feedback reflects entrustment decisions using artificial intelligence
10.1111/medu.14696 · 2022 · External reference
10.1007/978-3-030-83014-4_14
10.1007/978-3-030-83014-4_14 · 2021 · External reference
10.1007/978-3-030-65351-4_8
10.1007/978-3-030-65351-4_8 · 2021 · External reference
Unresolved reference
2022 · External reference
10.1007/978-3-030-60259-8_20
10.1007/978-3-030-60259-8_20 · 2020 · External reference
Deep neural models for icd-10 coding of death certificates and autopsy reports in free-text
10.1016/j.jbi.2018.02.011 · 2018 · External reference
Patient2vec: a personalized interpretable deep representation of the longitudinal electronic health record
10.1109/access.2018.2875677 · 2018 · External reference
Explainable icd multi-label classification of ehrs in Spanish with convolutional attention
10.1016/j.ijmedinf.2021.104615 · 2022 · External reference
Training a deep contextualized language model for international classification of diseases, 10th revision classification via federated learning: model development and validation study
10.2196/41342 · 2022 · External reference
Unresolved reference
2022 · External reference
Eandc: an explainable attention network based deep adaptive clustering model for mental health treatment
10.1016/j.future.2021.12.008 · 2022 · External reference
Multi-aspect deep active attention network for healthcare explainable adoption
2022 · External reference
Applying interpretable deep learning models to identify chronic cough patients using ehr data
10.1016/j.cmpb.2021.106395 · 2021 · External reference
Comparing pre-trained and feature-based models for prediction of Alzheimer's disease based on speech
10.3389/fnagi.2021.635945 · 2021 · External reference
Unresolved reference
External reference
A unified approach to interpreting model predictions
2017 · External reference
10.1515/9781400829156-012
10.1515/9781400829156-012 · 1997 · External reference
Visualizing data using t-sne
2008 · External reference
10.1007/978-3-031-01588-5
10.1007/978-3-031-01588-5 · 2020 · External reference
10.18653/v1/w18-6502
10.18653/v1/w18-6502 · 2018 · External reference
Unresolved reference
External reference
Unresolved reference
External reference
10.18653/v1/d16-1053
10.18653/v1/d16-1053 · 2016 · External reference
Is attention all you need in medical image analysis? A review
2023 · External reference
Unresolved reference
2018 · External reference
Training language models to follow instructions with human feedback
2022 · External reference
Human-in-the-loop machine learning: a state of the art
10.1007/s10462-022-10246-w · 2023 · External reference
10.1016/j.future.2022.05.014
10.1016/j.future.2022.05.014 · External reference
Multi-modality approaches for medical support systems: a systematic review of the last decade
2023 · External reference
10.1109/jproc.2021.3058954
10.1109/jproc.2021.3058954 · External reference
An introduction to causal inference
10.2202/1557-4679.1203 · 2010 · External reference
Causal inference in natural language processing: estimation, prediction, interpretation and beyond
10.1162/tacl_a_00511 · 2022 · External reference
Unresolved reference
2019 · External reference
10.18653/v1/2020.acl-main.432
10.18653/v1/2020.acl-main.432 · 2020 · External reference
Unresolved reference
2019 · External reference
Unresolved reference
External reference
Unresolved reference
2019 · External reference
Unresolved reference
External reference
Language models are few-shot learners
2020 · External reference
Unresolved reference
External reference
The imperative for regulatory oversight of large language models (or generative ai) in healthcare
10.1038/s41746-023-00873-0 · 2023 · External reference
Towards generalist biomedical ai
2024 · External reference
Publisher correction: large language models encode clinical knowledge
10.1038/s41586-023-06455-0 · 2023 · External reference
Unresolved reference
2023 · External reference
Unresolved reference
2022 · External reference
Unresolved reference
2023 · External reference
Unresolved reference
2023 · External reference