Daniel Bean

Orcid: 0000-0002-8594-7804

According to our database1, Daniel Bean authored at least 13 papers between 2019 and 2024.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of four.

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
Dataset
Other 

Links

On csauthors.net:

Bibliography

2024
Predicting Future Disorders via Temporal Knowledge Graphs and Medical Ontologies.
IEEE J. Biomed. Health Informatics, July, 2024

2022
A Knowledge Distillation Ensemble Framework for Predicting Short- and Long-Term Hospitalization Outcomes From Electronic Health Records Data.
IEEE J. Biomed. Health Informatics, 2022

Foresight - Deep Generative Modelling of Patient Timelines using Electronic Health Records.
CoRR, 2022

CogStack Cohort at TREC 2022 Clinical Trials Track.
Proceedings of the Thirty-First Text REtrieval Conference, 2022

2021
DGLinker: flexible knowledge-graph prediction of disease-gene associations.
Nucleic Acids Res., 2021

Ensemble learning for poor prognosis predictions: A case study on SARS-CoV-2.
J. Am. Medical Informatics Assoc., 2021

MedGPT: Medical Concept Prediction from Clinical Narratives.
CoRR, 2021

Multi-domain clinical natural language processing with MedCAT: The Medical Concept Annotation Toolkit.
Artif. Intell. Medicine, 2021

2020
A Knowledge Distillation Ensemble Framework for Predicting Short and Long-term Hospitalisation Outcomes from Electronic Health Records Data.
CoRR, 2020

Identifying physical health comorbidities in a cohort of individuals with severe mental illness: An application of SemEHR.
CoRR, 2020

Comparative Analysis of Text Classification Approaches in Electronic Health Records.
Proceedings of the 19th SIGBioMed Workshop on Biomedical Language Processing, 2020

2019
MedCAT - Medical Concept Annotation Tool.
CoRR, 2019

MedCATTrainer: A Biomedical Free Text Annotation Interface with Active Learning and Research Use Case Specific Customisation.
Proceedings of the 2019 Conference on Empirical Methods in Natural Language Processing and the 9th International Joint Conference on Natural Language Processing, 2019


  Loading...