Jordan M. Alpert

According to our database, Jordan M. Alpert authored at least 8 papers between 2019 and 2026.

Collaborative distances:

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

2026

EPPC-OASIS: Ontology-Aware Adaptation and Structured Inference Refinement for Electronic Patient-Provider Communication Mining in Secure Messages.

Samah Fodeh, Sreeraj Ramachandran, Elyas Irankhah, Muhammad Arif, Afshan Khan, Ganesh Puthiaraju, Linhai Ma, Srivani Talakokkul, Jordan M. Alpert, Sarah Schellhorn

CoRR, May, 2026

STaR-DRO: Stateful Tsallis Reweighting for Group-Robust Structured Prediction.

Samah Fodeh, Ganesh Puthiaraju, Elyas Irankhah, Linhai Ma, Srivani Talakokkul, Afshan Khan, Sreeraj Ramachandran, Jordan M. Alpert, Sarah Schellhorn

CoRR, April, 2026

EPPCMinerBen: A Novel Benchmark for Evaluating Large Language Models on Electronic Patient-Provider Communication via the Patient Portal.

Samah Fodeh, Yan Wang, Linhai Ma, Srivani Talakokkul, Jordan M. Alpert, Sarah Schellhorn

CoRR, March, 2026

EPPCMinerBen: A novel benchmark for evaluating large language models on electronic patient-provider communication via the patient portal.

Samah Jamal Fodeh, Yan Wang, Linhai Ma, Srivani Talakokkul, Jordan M. Alpert, Sarah Schellhorn

Artif. Intell. Medicine, 2026

2021

ROAMM: A customizable and interactive smartwatch platform for patient-generated health data.

Yashaswi Karnati, Ruben D. Zapata, Matthew J. McConnell, Rohith R. K. Reddy, Varun Reddy Regalla, Aseem Thakkar, Jordan M. Alpert, Tonatiuh Mendoza, Parisa Rashidi, Mamoun T. Mardini, Michael Marsiske, Thomas M. Gill, Todd M. Manini, Sanjay Ranka

Proceedings of the IC3 2021: Thirteenth International Conference on Contemporary Computing, Noida, India, August 5, 2021

2020

Secondary care provider attitudes towards patient generated health data from smartwatches.

Jordan M. Alpert, Todd M. Manini, Megan Roberts, Naga S. Prabhakar Kota, Tonatiuh Mendoza, Laurence M. Solberg, Parisa Rashidi

npj Digit. Medicine, 2020

When text simplification is not enough: could a graph-based visualization facilitate consumers' comprehension of dietary supplement information?

Xing He, Rui Zhang, Jordan M. Alpert, Sicheng Zhou, Terrence J. Adam, Aantaki Raisa, Yifan Peng, Hansi Zhang, Jiang Bian

CoRR, 2020

2019

ALOHA: developing an interactive graph-based visualization for dietary supplement knowledge graph through user-centered design.

Xing He, Rui Zhang, Rubina F. Rizvi, Jake Vasilakes, Xi Yang, Yi Guo, Zhe He, Mattia Prosperi, Jinhai Huo, Jordan M. Alpert, Jiang Bian

BMC Medical Informatics Decis. Mak., 2019