Majid Afshar - RankMe

68 papers A* 1B 2Misc 10Journal 49Unranked 6

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Explainable multimodal deep learning models for variable-length sequences in critically ill patients. J. Biomed. Informatics Jennifer Martin, Majid Afshar, Askar Safipour Afshar, John R. Caskey, Dmitriy Dligach, Yanjun Gao, Jifan Gao, Guanhua Chen, Anoop M. Mayampurath, Matthew M. Churpek
2026	J	`jnl`	MoMA: a mixture-of-multimodal-agents architecture for enhancing clinical prediction modelling. npj Digit. Medicine Jifan Gao, Mahmudur Rahman, John R. Caskey, Madeline Oguss, Ann P. O'Rourke, Randall Brown, Anne Stey, Anoop M. Mayampurath, Matthew M. Churpek, Guanhua Chen, Majid Afshar
2025	J	`jnl`	An Information-Theoretic Perspective on Multi-LLM Uncertainty Estimation. CoRR Maya Kruse, Majid Afshar, Saksham Khatwani, Anoop M. Mayampurath, Guanhua Chen, Yanjun Gao
2025	J	`jnl`	Brittleness and Promise: Knowledge Graph Based Reward Modeling for Diagnostic Reasoning. CoRR Saksham Khatwani, He Cheng, Majid Afshar, Dmitriy Dligach, Yanjun Gao
2025	J	`jnl`	Development and Validation of the Provider Documentation Summarization Quality Instrument for Large Language Models. CoRR Emma Croxford, Yanjun Gao, Nicholas Pellegrino, Karen K. Wong, Graham Wills, Elliot First, Miranda Schnier, Kyle Burton, Cris G. Ebby, Jillian Gorskic, Matthew Kalscheur, Samy Khalil, Marie Pisani, Tyler Rubeor, Peter D. Stetson, Frank J. Liao, Cherodeep Goswami, Brian W. Patterson, Majid Afshar
2025	J	`jnl`	Development and validation of the provider documentation summarization quality instrument for large language models. J. Am. Medical Informatics Assoc. Emma Croxford, Yanjun Gao, Nicholas Pellegrino, Karen K. Wong, Graham Wills, Elliot First, Miranda Schnier, Kyle Burton, Cris G. Ebby, Jillian Gorskic, Matthew Kalscheur, Samy Khalil, Marie Pisani, Tyler Rubeor, Peter D. Stetson, Frank J. Liao, Cherodeep Goswami, Brian W. Patterson, Majid Afshar
2025	J	`jnl`	Evaluating Retrieval-Augmented Generation vs. Long-Context Input for Clinical Reasoning over EHRs. CoRR Skatje Myers, Dmitriy Dligach, Timothy A. Miller, Samantha Barr, Yanjun Gao, Matthew M. Churpek, Anoop M. Mayampurath, Majid Afshar
2025	J	`jnl`	Evaluating clinical AI summaries with large language models as judges. npj Digit. Medicine Emma Croxford, Yanjun Gao, Elliot First, Nicholas Pellegrino, Miranda Schnier, John R. Caskey, Madeline Oguss, Graham Wills, Guanhua Chen, Dmitriy Dligach, Matthew M. Churpek, Anoop M. Mayampurath, Frank J. Liao, Cherodeep Goswami, Karen K. Wong, Brian W. Patterson, Majid Afshar
2025	J	`jnl`	Explaining alerts from a pediatric risk prediction model using clinical text. J. Am. Medical Informatics Assoc. Samuel Nycklemoe, Sriharsha Devarapu, Yanjun Gao, Kyle A. Carey, Nicholas Kuehnel, Neil Munjal, Priti Jani, Matthew M. Churpek, Dmitriy Dligach, Majid Afshar, Anoop M. Mayampurath
2025	—	`conf`	Exploring RAG Solutions to Reduce Hallucinations in LLMs. SysCon Samar AboulEla, Paria Zabihitari, Nourhan Ibrahim, Majid Afshar, Rasha F. Kashef
2025	J	`jnl`	LCD benchmark: long clinical document benchmark on mortality prediction for language models. J. Am. Medical Informatics Assoc. Wonjin Yoon, Shan Chen, Yanjun Gao, Zhanzhan Zhao, Dmitriy Dligach, Danielle S. Bitterman, Majid Afshar, Timothy A. Miller
2025	J	`jnl`	Lessons learned on information retrieval in electronic health records: a comparison of embedding models and pooling strategies. J. Am. Medical Informatics Assoc. Skatje Myers, Timothy A. Miller, Yanjun Gao, Matthew M. Churpek, Anoop M. Mayampurath, Dmitriy Dligach, Majid Afshar
2025	J	`jnl`	MoMA: A Mixture-of-Multimodal-Agents Architecture for Enhancing Clinical Prediction Modelling. CoRR Jifan Gao, Mahmudur Rahman, John R. Caskey, Madeline Oguss, Ann P. O'Rourke, Randy Brown, Anne Stey, Anoop M. Mayampurath, Matthew M. Churpek, Guanhua Chen, Majid Afshar
2025	A*	`conf`	Simple Yet Effective: An Information-Theoretic Approach to Multi-LLM Uncertainty Quantification. EMNLP Maya Kruse, Majid Afshar, Saksham Khatwani, Anoop M. Mayampurath, Guanhua Chen, Yanjun Gao
2025	J	`jnl`	Toward digital twins in the intensive care unit: a medication management case study. J. Am. Medical Informatics Assoc. Behnaz Eslami, Majid Afshar, Samie Tootooni, Timothy A. Miller, Matthew M. Churpek, Yanjun Gao, Dmitriy Dligach
2024	J	`jnl`	Automated stratification of trauma injury severity across multiple body regions using multi-modal, multi-class machine learning models. J. Am. Medical Informatics Assoc. Jifan Gao, Guanhua Chen, Ann P. O'Rourke, John R. Caskey, Kyle A. Carey, Madeline Oguss, Anne Stey, Dmitriy Dligach, Timothy Miller, Anoop M. Mayampurath, Matthew M. Churpek, Majid Afshar
2024	J	`jnl`	Development and external validation of deep learning clinical prediction models using variable-length time series data. J. Am. Medical Informatics Assoc. 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
2024	J	`jnl`	Evaluation of Large Language Models for Summarization Tasks in the Medical Domain: A Narrative Review. CoRR Emma Croxford, Yanjun Gao, Nicholas Pellegrino, Karen K. Wong, Graham Wills, Elliot First, Frank J. Liao, Cherodeep Goswami, Brian W. Patterson, Majid Afshar
2024	J	`jnl`	Improving Clinical NLP Performance through Language Model-Generated Synthetic Clinical Data. CoRR Shan Chen, Jack Gallifant, Marco Guevara, Yanjun Gao, Majid Afshar, Timothy Miller, Dmitriy Dligach, Danielle S. Bitterman
2024	J	`jnl`	Lessons Learned on Information Retrieval in Electronic Health Records: A Comparison of Embedding Models and Pooling Strategies. CoRR Skatje Myers, Timothy A. Miller, Yanjun Gao, Matthew M. Churpek, Anoop M. Mayampurath, Dmitriy Dligach, Majid Afshar
2024	J	`jnl`	On the role of the UMLS in supporting diagnosis generation proposed by Large Language Models. J. Biomed. Informatics Majid Afshar, Yanjun Gao, Deepak Gupta, Emma Croxford, Dina Demner-Fushman
2024	J	`jnl`	Position Paper On Diagnostic Uncertainty Estimation from Large Language Models: Next-Word Probability Is Not Pre-test Probability. CoRR Yanjun Gao, Skatje Myers, Shan Chen, Dmitriy Dligach, Timothy A. Miller, Danielle S. Bitterman, Guanhua Chen, Anoop M. Mayampurath, Matthew M. Churpek, Majid Afshar
2024	—	`conf`	When Raw Data Prevails: Are Large Language Model Embeddings Effective in Numerical Data Representation for Medical Machine Learning Applications? EMNLP (Findings) Yanjun Gao, Skatje Myers, Shan Chen, Dmitriy Dligach, Timothy A. Miller, Danielle S. Bitterman, Matthew M. Churpek, Majid Afshar
2024	J	`jnl`	When Raw Data Prevails: Are Large Language Model Embeddings Effective in Numerical Data Representation for Medical Machine Learning Applications? CoRR Yanjun Gao, Skatje Myers, Shan Chen, Dmitriy Dligach, Timothy A. Miller, Danielle S. Bitterman, Matthew M. Churpek, Majid Afshar
2023	J	`jnl`	Considerations for health care institutions training large language models on electronic health records. CoRR Weipeng Zhou, Danielle S. Bitterman, Majid Afshar, Timothy A. Miller
2023	J	`jnl`	DR.BENCH: Diagnostic Reasoning Benchmark for Clinical Natural Language Processing. J. Biomed. Informatics Yanjun Gao, Dmitriy Dligach, Timothy Miller, John R. Caskey, Brihat Sharma, Matthew M. Churpek, Majid Afshar
2023	J	`jnl`	Improving model transferability for clinical note section classification models using continued pretraining. J. Am. Medical Informatics Assoc. Weipeng Zhou, Meliha Yetisgen, Majid Afshar, Yanjun Gao, Guergana Savova, Timothy A. Miller
2023	—	`conf`	Improving the Transferability of Clinical Note Section Classification Models with BERT and Large Language Model Ensembles. ClinicalNLP@ACL Weipeng Zhou, Majid Afshar, Dmitriy Dligach, Yanjun Gao, Timothy A. Miller
2023	J	`jnl`	Leveraging A Medical Knowledge Graph into Large Language Models for Diagnosis Prediction. CoRR Yanjun Gao, Ruizhe Li, John R. Caskey, Dmitriy Dligach, Timothy Miller, Matthew M. Churpek, Majid Afshar
2023	—	`conf`	Multi-Task Training with In-Domain Language Models for Diagnostic Reasoning. ClinicalNLP@ACL Brihat Sharma, Yanjun Gao, Timothy Miller, Matthew M. Churpek, Majid Afshar, Dmitriy Dligach
2023	J	`jnl`	Multi-Task Training with In-Domain Language Models for Diagnostic Reasoning. CoRR Brihat Sharma, Yanjun Gao, Timothy Miller, Matthew M. Churpek, Majid Afshar, Dmitriy Dligach
2023	—	`conf`	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 Yanjun Gao, Dmitriy Dligach, Timothy Miller, Majid Afshar
2023	J	`jnl`	Overview of the Problem List Summarization (ProbSum) 2023 Shared Task on Summarizing Patients' Active Diagnoses and Problems from Electronic Health Record Progress Notes. CoRR Yanjun Gao, Dmitriy Dligach, Timothy Miller, Matthew M. Churpek, Majid Afshar
2023	J	`jnl`	Progress Note Understanding - Assessment and Plan Reasoning: Overview of the 2022 N2C2 Track 3 Shared Task. CoRR Yanjun Gao, Dmitriy Dligach, Timothy Miller, Matthew M. Churpek, Özlem Uzuner, Majid Afshar
2023	J	`jnl`	Progress Note Understanding - Assessment and Plan Reasoning: Overview of the 2022 N2C2 Track 3 shared task. J. Biomed. Informatics Yanjun Gao, Dmitriy Dligach, Timothy Miller, Matthew M. Churpek, Özlem Uzuner, Majid Afshar
2023	J	`jnl`	The impact of using an AI chatbot to respond to patient messages. CoRR 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
2022	J	`jnl`	A scoping review of publicly available language tasks in clinical natural language processing. J. Am. Medical Informatics Assoc. Yanjun Gao, Dmitriy Dligach, Leslie Christensen, Samuel Tesch, Ryan Laffin, Dongfang Xu, Timothy Miller, Özlem Uzuner, Matthew M. Churpek, Majid Afshar
2022	J	`jnl`	DR.BENCH: Diagnostic Reasoning Benchmark for Clinical Natural Language Processing. CoRR Yanjun Gao, Dmitriy Dligach, Timothy Miller, John R. Caskey, Brihat Sharma, Matthew M. Churpek, Majid Afshar
2022	Misc	`conf`	Explaining Alerts from a Pediatric Deterioration Prediction Model Using Clinical Text. AMIA Anoop M. Mayampurath, Kyle A. Carey, Priti Jani, Majid Afshar, Matthew M. Churpek, Dmitriy Dligach
2022	J	`jnl`	Governance of Clinical AI applications to facilitate safe and equitable deployment in a large health system: Key elements and early successes. Frontiers Digit. Health Frank J. Liao, Sabrina Adelaine, Majid Afshar, Brian W. Patterson
2022	B	`conf`	Hierarchical Annotation for Building A Suite of Clinical Natural Language Processing Tasks: Progress Note Understanding. LREC Yanjun Gao, Dmitriy Dligach, Timothy Miller, Samuel Tesch, Ryan Laffin, Matthew M. Churpek, Majid Afshar
2022	J	`jnl`	Hierarchical Annotation for Building A Suite of Clinical Natural Language Processing Tasks: Progress Note Understanding. CoRR Yanjun Gao, Dmitriy Dligach, Timothy Miller, Samuel Tesch, Ryan Laffin, Matthew M. Churpek, Majid Afshar
2022	J	`jnl`	Identifying infected patients using semi-supervised and transfer learning. J. Am. Medical Informatics Assoc. Fereshteh S. Bashiri, John R. Caskey, Anoop M. 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
2022	J	`jnl`	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 Liam Butler, Ibrahim Karabayir, Mohammad Samie Tootooni, Majid Afshar, Ari Goldberg, Oguz Akbilgic
2022	J	`jnl`	Optimizing feature selection methods by removing irrelevant features using sparse least squares. Expert Syst. Appl. Majid Afshar, Hamid Usefi
2022	J	`jnl`	Summarizing Patients Problems from Hospital Progress Notes Using Pre-trained Sequence-to-Sequence Models. CoRR Yanjun Gao, Dmitriy Dligach, Timothy Miller, Dongfang Xu, Matthew M. Churpek, Majid Afshar
2022	B	`conf`	Summarizing Patients' Problems from Hospital Progress Notes Using Pre-trained Sequence-to-Sequence Models. COLING Yanjun Gao, Dmitriy Dligach, Timothy Miller, Dongfang Xu, Matthew M. Churpek, Majid Afshar
2021	J	`jnl`	A Scoping Review of Publicly Available Language Tasks in Clinical Natural Language Processing. CoRR Yanjun Gao, Dmitriy Dligach, Leslie Christensen, Samuel Tesch, Ryan Laffin, Dongfang Xu, Timothy Miller, Özlem Uzuner, Matthew M. Churpek, Majid Afshar
2021	Misc	`conf`	A multi-label classifier to screen different types of substance misuse in hospitalized patients. AMIA Brihat Sharma, Dmitriy Dligach, Hale Thomson, Matthew M. Churpek, Niranjan S. Karnik, Majid Afshar
2021	Misc	`conf`	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 Marissa Borgese, Cara Joyce, Emily E. Anderson, Matthew M. Churpek, Majid Afshar
2021	J	`jnl`	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. Hale M. Thompson, Brihat Sharma, Sameer Bhalla, Randy Boley, Connor McCluskey, Dmitriy Dligach, Matthew M. Churpek, Niranjan S. Karnik, Majid Afshar
2021	J	`jnl`	Classifying Long Clinical Documents with Pre-trained Transformers. CoRR Xin Su, Timothy Miller, Xiyu Ding, Majid Afshar, Dmitriy Dligach
2021	—	`conf`	Incorporating Behavior in Attribute Based Access Control Model Using Machine Learning. SysCon Majid Afshar, Saeed Samet, Hamid Usefi
2021	J	`jnl`	Pre-training phenotyping classifiers. J. Biomed. Informatics Dmitriy Dligach, Majid Afshar, Timothy Miller
2021	Misc	`conf`	Sepsis Prediction Using Semi-Supervised and Transfer Learning. AMIA John R. Caskey, Fereshteh S. Bashiri, Anoop M. 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
2021	Misc	`conf`	The Addition of United States Census-Tract Data Does Not Improve the Prediction of Substance Misuse. AMIA Daniel To, Cara Joyce, Sujay Kulshrestha, Brihat Sharma, Dmitriy Dligach, Matthew M. Churpek, Majid Afshar
2020	J	`jnl`	High-Dimensional Feature Selection for Genomic Datasets. CoRR Majid Afshar, Hamid Usefi
2020	J	`jnl`	High-dimensional feature selection for genomic datasets. Knowl. Based Syst. Majid Afshar, Hamid Usefi
2020	Misc	`conf`	Learning Hierarchical Transformer-based Representations of Clinical Notes. AMIA Xin Su, Timothy A. Miller, Majid Afshar, Dmitriy Dligach
2020	J	`jnl`	Publicly available machine learning models for identifying opioid misuse from the clinical notes of hospitalized patients. BMC Medical Informatics Decis. Mak. Brihat Sharma, Dmitriy Dligach, Kristin Swope, Elizabeth Salisbury-Afshar, Niranjan S. Karnik, Cara Joyce, Majid Afshar
2019	J	`jnl`	Canadian Wetland Inventory using Google Earth Engine: The First Map and Preliminary Results. Remote. Sens. Meisam Amani, Sahel Mahdavi, Majid Afshar, Brian Brisco, Weimin Huang, Sayyed Mohammad Javad Mirzadeh, Lori White, Sarah N. Banks, Joshua Montgomery, Christopher Hopkinson
2019	J	`jnl`	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. Majid Afshar, Dmitriy Dligach, Brihat Sharma, Xiaoyuan Cai, Jason Boyda, Steven Birch, Daniel Valdez, Suzan Zelisko, Cara Joyce, François Modave, Ron Price
2019	Misc	`conf`	Identification of Latent Subtypes of Patients with Opioid Misuse. AMIA Brihat Sharma, Majid Afshar, Dmitriy Dligach, Robert Kanie, Elizabeth Salisbury-Afshar, Niranjan S. Karnik, Cara Joyce
2019	J	`jnl`	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. Majid Afshar, Andrew Phillips, Niranjan S. Karnik, Jeanne Mueller, Daniel To, Richard Gonzalez, Ron Price, Richard S. Cooper, Cara Joyce, Dmitriy Dligach
2019	J	`jnl`	Toward a clinical text encoder: pretraining for clinical natural language processing with applications to substance misuse. J. Am. Medical Informatics Assoc. Dmitriy Dligach, Majid Afshar, Timothy Miller
2019	Misc	`conf`	Towards a Universal Document-Level Clinical Text Encoder: Methods for Neural Network Pre-training with Applications to Substance Misuse. AMIA Dmitriy Dligach, Majid Afshar, Timothy A. Miller
2019	Misc	`conf`	Untapped Potential of Clinical Text for Opioid Surveillance. AMIA 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
2018	Misc	`conf`	A Computable Phenotype for Acute Respiratory Distress Syndrome Using Natural Language Processing and Machine Learning. AMIA Majid Afshar, Cara Joyce, Anthony Oakey, Perry Formanek, Philip Yang, Matthew M. Churpek, Richard S. Cooper, Ron Price, Susan J. Zelisko, Dmitriy Dligach