Benjamin L. May

According to our database, Benjamin L. May authored at least 4 papers between 2022 and 2023.

Collaborative distances:

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

2023

Using machine learning probabilities to identify effects of COVID-19.

Vijendra Ramlall, Undina Gisladottir, Jenna Kefeli, Yutaro Tanaka, Benjamin L. May, Nicholas P. Tatonetti

Patterns, December, 2023

Structured deep embedding model to generate composite clinical indices from electronic health records for early detection of pancreatic cancer.

Jiheum Park, Michael G. Artin, Kate E. Lee, Benjamin L. May, Michael Park, Chin Hur, Nicholas P. Tatonetti

Patterns, January, 2023

Large Language Models for Granularized Barrett's Esophagus Diagnosis Classification.

Jenna Kefeli, Ali Soroush, Courtney J. Diamond, Haley M. Zylberberg, Benjamin L. May, Julian A. Abrams, Chunhua Weng, Nicholas P. Tatonetti

CoRR, 2023

2022

Deep learning on time series laboratory test results from electronic health records for early detection of pancreatic cancer.

Jiheum Park, Michael G. Artin, Kate E. Lee, Yoanna S. Pumpalova, Myles A. Ingram, Benjamin L. May, Michael Park, Chin Hur, Nicholas P. Tatonetti

J. Biomed. Informatics, 2022