Anthony Yazdani

Orcid: 0000-0003-3309-6128

According to our database1, Anthony Yazdani authored at least 12 papers between 2022 and 2025.

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

Timeline

Legend:

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PhD thesis 
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Links

On csauthors.net:

Bibliography

2025
ICU-TSB: A Benchmark for Temporal Patient Representation Learning for Unsupervised Stratification into Patient Cohorts.
CoRR, June, 2025

GLiNER-biomed: A Suite of Efficient Models for Open Biomedical Named Entity Recognition.
CoRR, April, 2025

A scoping review of artificial intelligence applications in clinical trial risk assessment.
npj Digit. Medicine, 2025

Analysis of eligibility criteria clusters based on large language models for clinical trial design.
J. Am. Medical Informatics Assoc., 2025

Comparing neural language models for medical concept representation and patient trajectory prediction.
Artif. Intell. Medicine, 2025

ICU-TSB: A Benchmark for Temporal Patient Representation Learning for Unsupervised Stratification Into Patient Cohorts.
Proceedings of the 38th IEEE International Symposium on Computer-Based Medical Systems, 2025

2024
CT-ADE: An Evaluation Benchmark for Adverse Drug Event Prediction from Clinical Trial Results.
CoRR, 2024

2023
Transformer Performance for Chemical Reactions: Analysis of Different Predictive and Evaluation Scenarios.
J. Chem. Inf. Model., April, 2023

DS4DH at #SMM4H 2023: Zero-Shot Adverse Drug Events Normalization using Sentence Transformers and Reciprocal-Rank Fusion.
CoRR, 2023

Leveraging patient similarities via graph neural networks to predict phenotypes from temporal data.
Proceedings of the 10th IEEE International Conference on Data Science and Advanced Analytics, 2023

2022
Efficient Joint Learning for Clinical Named Entity Recognition and Relation Extraction Using Fourier Networks: A Use Case in Adverse Drug Events.
Proceedings of the 19th International Conference on Natural Language Processing, 2022

Cluster Analysis of Low-Dimensional Medical Concept Representations from Electronic Health Records.
Proceedings of the Health Information Science - 11th International Conference, 2022


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