Anoop M. Mayampurath

According to our database, Anoop M. Mayampurath authored at least 23 papers between 2008 and 2026.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2026

MoMA: a mixture-of-multimodal-agents architecture for enhancing clinical prediction modelling.

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

npj Digit. Medicine, 2026

Explainable multimodal deep learning models for variable-length sequences in critically ill patients.

Jennifer Martin, Majid Afshar, Askar Safipour Afshar, John R. Caskey, Dmitriy Dligach, Yanjun Gao, Jifan Gao, Guanhua Chen, Anoop M. Mayampurath, Matthew M. Churpek

J. Biomed. Informatics, 2026

2025

Evaluating Retrieval-Augmented Generation vs. Long-Context Input for Clinical Reasoning over EHRs.

Skatje Myers, Dmitriy Dligach, Timothy A. Miller, Samantha Barr, Yanjun Gao, Matthew M. Churpek, Anoop M. Mayampurath, Majid Afshar

CoRR, August, 2025

MoMA: A Mixture-of-Multimodal-Agents Architecture for Enhancing Clinical Prediction Modelling.

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

CoRR, August, 2025

An Information-Theoretic Perspective on Multi-LLM Uncertainty Estimation.

Maya Kruse, Majid Afshar, Saksham Khatwani, Anoop M. Mayampurath, Guanhua Chen, Yanjun Gao

CoRR, July, 2025

Evaluating clinical AI summaries with large language models as judges.

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

npj Digit. Medicine, 2025

Explaining alerts from a pediatric risk prediction model using clinical text.

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

J. Am. Medical Informatics Assoc., 2025

Lessons learned on information retrieval in electronic health records: a comparison of embedding models and pooling strategies.

Skatje Myers, Timothy A. Miller, Yanjun Gao, Matthew M. Churpek, Anoop M. Mayampurath, Dmitriy Dligach, Majid Afshar

J. Am. Medical Informatics Assoc., 2025

Simple Yet Effective: An Information-Theoretic Approach to Multi-LLM Uncertainty Quantification.

Maya Kruse, Majid Afshar, Saksham Khatwani, Anoop M. Mayampurath, Guanhua Chen, Yanjun Gao

Proceedings of the 2025 Conference on Empirical Methods in Natural Language Processing, 2025

2024

Automated stratification of trauma injury severity across multiple body regions using multi-modal, multi-class machine learning models.

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

J. Am. Medical Informatics Assoc., 2024

Development and external validation of deep learning clinical prediction models using variable-length time series data.

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

J. Am. Medical Informatics Assoc., 2024

Position Paper On Diagnostic Uncertainty Estimation from Large Language Models: Next-Word Probability Is Not Pre-test Probability.

Yanjun Gao, Skatje Myers, Shan Chen, Dmitriy Dligach, Timothy A. Miller, Danielle S. Bitterman, Guanhua Chen, Anoop M. Mayampurath, Matthew M. Churpek, Majid Afshar

CoRR, 2024

2022

Identifying infected patients using semi-supervised and transfer learning.

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

J. Am. Medical Informatics Assoc., 2022

Explaining Alerts from a Pediatric Deterioration Prediction Model Using Clinical Text.

Anoop M. Mayampurath, Kyle A. Carey, Priti Jani, Majid Afshar, Matthew M. Churpek, Dmitriy Dligach

Proceedings of the AMIA 2022, 2022

2021

Sepsis Prediction Using Semi-Supervised and Transfer Learning.

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

Proceedings of the AMIA 2021, American Medical Informatics Association Annual Symposium, San Diego, CA, USA, October 30, 2021, 2021

2019

A structured approach to working with wearable health data: lessons learned from the University of Chicago IBD biosensor study.

Philip H. Sossenheimer, Olivia Yvellez, Anoop M. Mayampurath, Samuel L. Volchenboum, David T. Rubin

Proceedings of the AMIA 2019, 2019

2018

Using photoplethysmography data to estimate heart rate variability and its association with organ dysfunction in pediatric oncology patients.

Anoop M. Mayampurath, Samuel L. Volchenboum, L. Nelson Sanchez-Pinto

npj Digit. Medicine, 2018

2017

A Deeper Exploration of Contagious Risk and the Neighborhood Effect.

Anoop M. Mayampurath, Dana P. Edelson, Michael D. Howell, Matthew M. Churpek, Samuel L. Volchenboum

Proceedings of the Summit on Clinical Research Informatics, 2017

A Data-driven Framework for Sub-Typing Stem Cell Transplant Recipients at Risk for Infection.

Anoop M. Mayampurath, Jonathan Matthews, Samuel L. Volchenboum, Lazaro N. Sanchez-Pinto

Proceedings of the AMIA 2017, 2017

2013

Automated annotation and quantification of glycans using liquid chromatography-mass spectrometry.

Chuan-Yih Yu, Anoop M. Mayampurath, Yunli Hu, Shiyue Zhou, Yehia Mechref, Haixu Tang

Bioinform., 2013

2010

Machine learning based prediction for peptide drift times in ion mobility spectrometry.

Anuj R. Shah, Khushbu Agarwal, Erin S. Baker, Mudita Singhal, Anoop M. Mayampurath, Yehia M. Ibrahim, Lars J. Kangas, Matthew E. Monroe, Rui Zhao, Mikhail E. Belov, Gordon A. Anderson, Richard D. Smith

Bioinform., 2010

2009

Decon2LS: An open-source software package for automated processing and visualization of high resolution mass spectrometry data.

Navdeep Jaitly, Anoop M. Mayampurath, Kyle Littlefield, Joshua N. Adkins, Gordon A. Anderson, Richard D. Smith

BMC Bioinform., 2009

2008

DeconMSn: a software tool for accurate parent ion monoisotopic mass determination for tandem mass spectra.

Anoop M. Mayampurath, Navdeep Jaitly, Samuel O. Purvine, Matthew E. Monroe, Kenneth J. Auberry, Joshua N. Adkins, Richard D. Smith

Bioinform., 2008