Majid Afshar

Publication Activity (10 Years)

Years Active: 2018-2024
Publications (10 Years): 47

Top Topics

Natural Language Processing

Feature Selection

Top Venues

J. Am. Medical Informatics Assoc.

J. Biomed. Informatics

Publications

Jifan Gao, Guanhua Chen, Ann P. O'Rourke, John R. Caskey, Kyle A. Carey, Madeline Oguss, Anne Stey, Dmitriy Dligach, Timothy A. Miller, Anoop M. Mayampurath, Matthew M. Churpek, Majid Afshar
Automated stratification of trauma injury severity across multiple body regions using multi-modal, multi-class machine learning models. J. Am. Medical Informatics Assoc. 31 (6) (2024)
Fereshteh S. Bashiri, Kyle A. Carey, Jennie Martin, Jay L. Koyner, Dana P. Edelson, Emily R. Gilbert, Anoop M. Mayampurath, Majid Afshar, Matthew M. Churpek
Development and external validation of deep learning clinical prediction models using variable-length time series data. J. Am. Medical Informatics Assoc. 31 (6) (2024)
Shan Chen, Jack Gallifant, Marco Guevara, Yanjun Gao, Majid Afshar, Timothy Miller, Dmitriy Dligach, Danielle S. Bitterman
Improving Clinical NLP Performance through Language Model-Generated Synthetic Clinical Data. CoRR (2024)
Weipeng Zhou, Danielle S. Bitterman, Majid Afshar, Timothy A. Miller
Considerations for health care institutions training large language models on electronic health records. CoRR (2023)
Shan Chen, Marco Guevara, Shalini Moningi, Frank Hoebers, Hesham Elhalawani, Benjamin H. Kann, Fallon E. Chipidza, Jonathan Leeman, Hugo J. W. L. Aerts, Timothy A. Miller, Guergana K. Savova, Raymond H. Mak, Maryam Lustberg, Majid Afshar, Danielle S. Bitterman
The impact of using an AI chatbot to respond to patient messages. CoRR (2023)
Yanjun Gao, Dmitriy Dligach, Timothy Miller, Matthew M. Churpek, Özlem Uzuner, Majid Afshar
Progress Note Understanding - Assessment and Plan Reasoning: Overview of the 2022 N2C2 Track 3 shared task. J. Biomed. Informatics 142 (2023)
Weipeng Zhou, Majid Afshar, Dmitriy Dligach, Yanjun Gao, Timothy Miller
Improving the Transferability of Clinical Note Section Classification Models with BERT and Large Language Model Ensembles. ClinicalNLP@ACL (2023)
Weipeng Zhou, Meliha Yetisgen, Majid Afshar, Yanjun Gao, Guergana Savova, Timothy A. Miller
Improving model transferability for clinical note section classification models using continued pretraining. J. Am. Medical Informatics Assoc. 31 (1) (2023)
Yanjun Gao, Ruizhe Li, John R. Caskey, Dmitriy Dligach, Timothy A. Miller, Matthew M. Churpek, Majid Afshar
Leveraging A Medical Knowledge Graph into Large Language Models for Diagnosis Prediction. CoRR (2023)
Yanjun Gao, Dmitriy Dligach, Timothy Miller, Matthew M. Churpek, Majid Afshar
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)
Yanjun Gao, Dmitriy Dligach, Timothy Miller, Majid Afshar
Overview of the Problem List Summarization (ProbSum) 2023 Shared Task on Summarizing Patients' Active Diagnoses and Problems from Electronic Health Record Progress Notes. BioNLP@ACL (2023)
Yanjun Gao, Dmitriy Dligach, Timothy A. Miller, Matthew M. Churpek, Özlem Uzuner, Majid Afshar
Progress Note Understanding - Assessment and Plan Reasoning: Overview of the 2022 N2C2 Track 3 Shared Task. CoRR (2023)
Brihat Sharma, Yanjun Gao, Timothy A. Miller, Matthew M. Churpek, Majid Afshar, Dmitriy Dligach
Multi-Task Training with In-Domain Language Models for Diagnostic Reasoning. CoRR (2023)
Brihat Sharma, Yanjun Gao, Timothy A. Miller, Matthew M. Churpek, Majid Afshar, Dmitriy Dligach
Multi-Task Training with In-Domain Language Models for Diagnostic Reasoning. ClinicalNLP@ACL (2023)
Yanjun Gao, Dmitriy Dligach, Timothy A. Miller, John R. Caskey, Brihat Sharma, Matthew M. Churpek, Majid Afshar
DR.BENCH: Diagnostic Reasoning Benchmark for Clinical Natural Language Processing. J. Biomed. Informatics 138 (2023)
Yanjun Gao, Dmitriy Dligach, Timothy A. Miller, Samuel Tesch, Ryan Laffin, Matthew M. Churpek, Majid Afshar
Hierarchical Annotation for Building A Suite of Clinical Natural Language Processing Tasks: Progress Note Understanding. LREC (2022)
Yanjun Gao, Dmitriy Dligach, Leslie Christensen, Samuel Tesch, Ryan Laffin, Dongfang Xu, Timothy A. Miller, Özlem Uzuner, Matthew M. Churpek, Majid Afshar
A scoping review of publicly available language tasks in clinical natural language processing. J. Am. Medical Informatics Assoc. 29 (10) (2022)
Frank Liao, Sabrina Adelaine, Majid Afshar, Brian W. Patterson
Governance of Clinical AI applications to facilitate safe and equitable deployment in a large health system: Key elements and early successes. Frontiers Digit. Health 4 (2022)
Liam Butler, Ibrahim Karabayir, Mohammad Samie Tootooni, Majid Afshar, Ari Goldberg, Oguz Akbilgic
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 158 (February) (2022)
Yanjun Gao, Dmitriy Dligach, Timothy A. Miller, Samuel Tesch, Ryan Laffin, Matthew M. Churpek, Majid Afshar
Hierarchical Annotation for Building A Suite of Clinical Natural Language Processing Tasks: Progress Note Understanding. CoRR (2022)
Majid Afshar, Hamid Usefi
Optimizing feature selection methods by removing irrelevant features using sparse least squares. Expert Syst. Appl. 200 (2022)
Yanjun Gao, Dmitriy Dligach, Timothy A. Miller, John Caskey, Brihat Sharma, Matthew M. Churpek, Majid Afshar
DR.BENCH: Diagnostic Reasoning Benchmark for Clinical Natural Language Processing. CoRR (2022)
Yanjun Gao, Dmitriy Dligach, Timothy A. Miller, Dongfang Xu, Matthew M. Churpek, Majid Afshar
Summarizing Patients Problems from Hospital Progress Notes Using Pre-trained Sequence-to-Sequence Models. CoRR (2022)
Fereshteh S. Bashiri, John R. Caskey, Anoop Mayampurath, Nicole Dussault, Jay Dumanian, Sivasubramanium V. Bhavani, Kyle A. Carey, Emily R. Gilbert, Christopher J. Winslow, Nirav S. Shah, Dana P. Edelson, Majid Afshar, Matthew M. Churpek
Identifying infected patients using semi-supervised and transfer learning. J. Am. Medical Informatics Assoc. 29 (10) (2022)
Yanjun Gao, Dmitriy Dligach, Timothy Miller, Dongfang Xu, Matthew M. Churpek, Majid Afshar
Summarizing Patients' Problems from Hospital Progress Notes Using Pre-trained Sequence-to-Sequence Models. COLING (2022)
Anoop Mayampurath, Kyle A. Carey, Priti Jani, Majid Afshar, Matthew M. Churpek, Dmitriy Dligach
Explaining Alerts from a Pediatric Deterioration Prediction Model Using Clinical Text. AMIA (2022)
Brihat Sharma, Dmitriy Dligach, Hale Thomson, Matthew M. Churpek, Niranjan S. Karnik, Majid Afshar
A multi-label classifier to screen different types of substance misuse in hospitalized patients. AMIA (2021)
Hale M. Thompson, Brihat Sharma, Sameer Bhalla, Randy Boley, Connor McCluskey, Dmitriy Dligach, Matthew M. Churpek, Niranjan S. Karnik, Majid Afshar
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. 28 (11) (2021)
John R. Caskey, Fereshteh S. Bashiri, Anoop Mayampurath, Nicole Dussault, Jay Dumanian, Sivasubramanium V. Bhavani, Kyle A. Carey, Emily R. Gilbert, Christopher J. Winslow, Nirav S. Shah, Dana P. Edelson, Majid Afshar, Matthew M. Churpek
Sepsis Prediction Using Semi-Supervised and Transfer Learning. AMIA (2021)
Xin Su, Timothy Miller, Xiyu Ding, Majid Afshar, Dmitriy Dligach
Classifying Long Clinical Documents with Pre-trained Transformers. CoRR (2021)
Marissa Borgese, Cara Joyce, Emily E. Anderson, Matthew M. Churpek, Majid Afshar
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. AMIA (2021)
Dmitriy Dligach, Majid Afshar, Timothy A. Miller
Pre-training phenotyping classifiers. J. Biomed. Informatics 113 (2021)
Yanjun Gao, Dmitriy Dligach, Leslie Christensen, Samuel Tesch, Ryan Laffin, Dongfang Xu, Timothy Miller, Özlem Uzuner, Matthew M. Churpek, Majid Afshar
A Scoping Review of Publicly Available Language Tasks in Clinical Natural Language Processing. CoRR (2021)
Daniel To, Cara Joyce, Sujay Kulshrestha, Brihat Sharma, Dmitriy Dligach, Matthew M. Churpek, Majid Afshar
The Addition of United States Census-Tract Data Does Not Improve the Prediction of Substance Misuse. AMIA (2021)
Majid Afshar, Saeed Samet, Hamid Usefi
Incorporating Behavior in Attribute Based Access Control Model Using Machine Learning. SysCon (2021)
Brihat Sharma, Dmitriy Dligach, Kristin Swope, Elizabeth Salisbury-Afshar, Niranjan S. Karnik, Cara Joyce, Majid Afshar
Publicly available machine learning models for identifying opioid misuse from the clinical notes of hospitalized patients. BMC Medical Informatics Decis. Mak. 20 (1) (2020)
Xin Su, Timothy A. Miller, Majid Afshar, Dmitriy Dligach
Learning Hierarchical Transformer-based Representations of Clinical Notes. AMIA (2020)
Majid Afshar, Hamid Usefi
High-Dimensional Feature Selection for Genomic Datasets. CoRR (2020)
Majid Afshar, Hamid Usefi
High-dimensional feature selection for genomic datasets. Knowl. Based Syst. 206 (2020)
Brihat Sharma, Majid Afshar, Dmitriy Dligach, Robert Kanie, Elizabeth Salisbury-Afshar, Niranjan S. Karnik, Cara Joyce
Identification of Latent Subtypes of Patients with Opioid Misuse. AMIA (2019)
Dmitriy Dligach, Majid Afshar, Timothy A. Miller
Toward a clinical text encoder: pretraining for clinical natural language processing with applications to substance misuse. J. Am. Medical Informatics Assoc. 26 (11) (2019)
Dmitriy Dligach, Majid Afshar, Timothy A. Miller
Towards a Universal Document-Level Clinical Text Encoder: Methods for Neural Network Pre-training with Applications to Substance Misuse. AMIA (2019)
Majid Afshar, Andrew Phillips, Niranjan S. Karnik, Jeanne Mueller, Daniel To, Richard Gonzalez, Ron Price, Richard S. Cooper, Cara Joyce, Dmitriy Dligach
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. 26 (3) (2019)
Majid Afshar, Dmitriy Dligach, Brihat Sharma, Xiaoyuan Cai, Jason Boyda, Steven Birch, Daniel Valdez, Suzan Zelisko, Cara Joyce, François Modave, Ron Price
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. 26 (11) (2019)
Meisam Amani, Sahel Mahdavi, Majid Afshar, Brian Brisco, Weimin Huang, Sayyed Mohammad Javad Mirzadeh, Lori White, Sarah N. Banks, Joshua Montgomery, Christopher Hopkinson
Canadian Wetland Inventory using Google Earth Engine: The First Map and Preliminary Results. Remote. Sens. 11 (7) (2019)
Amy L. Olex, Tamás Gál, Majid Afshar, Dmitriy Dligach, Niranjan S. Karnik, Travis Oakes, Brihat Sharma, Meng Xie, Bridget T. McInnes, Julian Solway, Abel N. Kho, William Cramer, F. G. Moeller
Untapped Potential of Clinical Text for Opioid Surveillance. AMIA (2019)
Majid Afshar, Cara Joyce, Anthony Oakey, Perry Formanek, Philip Yang, Matthew M. Churpek, Richard S. Cooper, Ron Price, Susan J. Zelisko, Dmitriy Dligach
A Computable Phenotype for Acute Respiratory Distress Syndrome Using Natural Language Processing and Machine Learning. AMIA (2018)