Majid Afshar

Orcid: 0000-0002-6368-4652

According to our database1, Majid Afshar authored at least 47 papers between 2018 and 2024.

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

Timeline

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Links

On csauthors.net:

Bibliography

2024
On the role of the UMLS in supporting diagnosis generation proposed by Large Language Models.
J. Biomed. Informatics, 2024

Automated stratification of trauma injury severity across multiple body regions using multi-modal, multi-class machine learning models.
J. Am. Medical Informatics Assoc., 2024

Development and external validation of deep learning clinical prediction models using variable-length time series data.
J. Am. Medical Informatics Assoc., 2024

Evaluation of Large Language Models for Summarization Tasks in the Medical Domain: A Narrative Review.
CoRR, 2024

Lessons Learned on Information Retrieval in Electronic Health Records: A Comparison of Embedding Models and Pooling Strategies.
CoRR, 2024

When Raw Data Prevails: Are Large Language Model Embeddings Effective in Numerical Data Representation for Medical Machine Learning Applications?
CoRR, 2024

Improving Clinical NLP Performance through Language Model-Generated Synthetic Clinical Data.
CoRR, 2024

When Raw Data Prevails: Are Large Language Model Embeddings Effective in Numerical Data Representation for Medical Machine Learning Applications?
Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2024, 2024

2023
Improving model transferability for clinical note section classification models using continued pretraining.
J. Am. Medical Informatics Assoc., December, 2023

Progress Note Understanding - Assessment and Plan Reasoning: Overview of the 2022 N2C2 Track 3 shared task.
J. Biomed. Informatics, June, 2023

DR.BENCH: Diagnostic Reasoning Benchmark for Clinical Natural Language Processing.
J. Biomed. Informatics, February, 2023

The impact of using an AI chatbot to respond to patient messages.
CoRR, 2023

Considerations for health care institutions training large language models on electronic health records.
CoRR, 2023

Leveraging A Medical Knowledge Graph into Large Language Models for Diagnosis Prediction.
CoRR, 2023

Overview of the Problem List Summarization (ProbSum) 2023 Shared Task on Summarizing Patients' Active Diagnoses and Problems from Electronic Health Record Progress Notes.
CoRR, 2023

Progress Note Understanding - Assessment and Plan Reasoning: Overview of the 2022 N2C2 Track 3 Shared Task.
CoRR, 2023

Overview of the Problem List Summarization (ProbSum) 2023 Shared Task on Summarizing Patients' Active Diagnoses and Problems from Electronic Health Record Progress Notes.
Proceedings of the 22nd Workshop on Biomedical Natural Language Processing and BioNLP Shared Tasks, 2023

Improving the Transferability of Clinical Note Section Classification Models with BERT and Large Language Model Ensembles.
Proceedings of the 5th Clinical Natural Language Processing Workshop, 2023

Multi-Task Training with In-Domain Language Models for Diagnostic Reasoning.
Proceedings of the 5th Clinical Natural Language Processing Workshop, 2023

2022
A scoping review of publicly available language tasks in clinical natural language processing.
J. Am. Medical Informatics Assoc., 2022

Identifying infected patients using semi-supervised and transfer learning.
J. Am. Medical Informatics Assoc., 2022

Image and structured data analysis for prognostication of health outcomes in patients presenting to the ED during the COVID-19 pandemic.
Int. J. Medical Informatics, 2022

Governance of Clinical AI applications to facilitate safe and equitable deployment in a large health system: Key elements and early successes.
Frontiers Digit. Health, 2022

Optimizing feature selection methods by removing irrelevant features using sparse least squares.
Expert Syst. Appl., 2022

Summarizing Patients Problems from Hospital Progress Notes Using Pre-trained Sequence-to-Sequence Models.
CoRR, 2022

Hierarchical Annotation for Building A Suite of Clinical Natural Language Processing Tasks: Progress Note Understanding.
Proceedings of the Thirteenth Language Resources and Evaluation Conference, 2022

Summarizing Patients' Problems from Hospital Progress Notes Using Pre-trained Sequence-to-Sequence Models.
Proceedings of the 29th International Conference on Computational Linguistics, 2022

Explaining Alerts from a Pediatric Deterioration Prediction Model Using Clinical Text.
Proceedings of the AMIA 2022, 2022

2021
Pre-training phenotyping classifiers.
J. Biomed. Informatics, 2021

Bias and fairness assessment of a natural language processing opioid misuse classifier: detection and mitigation of electronic health record data disadvantages across racial subgroups.
J. Am. Medical Informatics Assoc., 2021

Classifying Long Clinical Documents with Pre-trained Transformers.
CoRR, 2021

Incorporating Behavior in Attribute Based Access Control Model Using Machine Learning.
Proceedings of the IEEE International Systems Conference, 2021

The Addition of United States Census-Tract Data Does Not Improve the Prediction of Substance Misuse.
Proceedings of the AMIA 2021, American Medical Informatics Association Annual Symposium, San Diego, CA, USA, October 30, 2021, 2021

A multi-label classifier to screen different types of substance misuse in hospitalized patients.
Proceedings of the AMIA 2021, American Medical Informatics Association Annual Symposium, San Diego, CA, USA, October 30, 2021, 2021

Sepsis Prediction Using Semi-Supervised and Transfer Learning.
Proceedings of the AMIA 2021, American Medical Informatics Association Annual Symposium, San Diego, CA, USA, October 30, 2021, 2021

Bias Assessment and Correction in Machine Learning Algorithms: A Use-Case in a Natural Language Processing Algorithm to Identify Hospitalized Patients with Unhealthy Alcohol Use.
Proceedings of the AMIA 2021, American Medical Informatics Association Annual Symposium, San Diego, CA, USA, October 30, 2021, 2021

2020
Publicly available machine learning models for identifying opioid misuse from the clinical notes of hospitalized patients.
BMC Medical Informatics Decis. Mak., 2020

High-dimensional feature selection for genomic datasets.
Knowl. Based Syst., 2020

Learning Hierarchical Transformer-based Representations of Clinical Notes.
Proceedings of the AMIA 2020, 2020

2019
Canadian Wetland Inventory using Google Earth Engine: The First Map and Preliminary Results.
Remote. Sens., 2019

Toward a clinical text encoder: pretraining for clinical natural language processing with applications to substance misuse.
J. Am. Medical Informatics Assoc., 2019

Natural language processing and machine learning to identify alcohol misuse from the electronic health record in trauma patients: development and internal validation.
J. Am. Medical Informatics Assoc., 2019

Development and application of a high throughput natural language processing architecture to convert all clinical documents in a clinical data warehouse into standardized medical vocabularies.
J. Am. Medical Informatics Assoc., 2019

Identification of Latent Subtypes of Patients with Opioid Misuse.
Proceedings of the AMIA 2019, 2019

Untapped Potential of Clinical Text for Opioid Surveillance.
Proceedings of the AMIA 2019, 2019

Towards a Universal Document-Level Clinical Text Encoder: Methods for Neural Network Pre-training with Applications to Substance Misuse.
Proceedings of the AMIA 2019, 2019

2018
A Computable Phenotype for Acute Respiratory Distress Syndrome Using Natural Language Processing and Machine Learning.
Proceedings of the AMIA 2018, 2018


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