Daniel S. Herman

According to our database, Daniel S. Herman authored at least 7 papers between 2020 and 2025.

Collaborative distances:

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

2025

Towards symbolic regression for interpretable clinical decision scores.

Guilherme Seidyo Imai Aldeia, Joseph D. Romano, Fabrício Olivetti de França, Daniel S. Herman, William G. La Cava

CoRR, December, 2025

Iterative Learning of Computable Phenotypes for Treatment Resistant Hypertension using Large Language Models.

Guilherme Seidyo Imai Aldeia, Daniel S. Herman, William G. La Cava

Proceedings of the Machine Learning for Healthcare Conference (MLHC 2025), 2025

2024

Lessons for local oversight of AI in medicine from the regulation of clinical laboratory testing.

Daniel S. Herman, Jenna T. Reece, Gary E. Weissman

npj Digit. Medicine, 2024

2023

A flexible symbolic regression method for constructing interpretable clinical prediction models.

William G. La Cava, Paul C. Lee, Imran Ajmal, Xiruo Ding, Priyanka Solanki, Jordana B. Cohen, Jason H. Moore, Daniel S. Herman

npj Digit. Medicine, 2023

2021

Inference for the Case Probability in High-dimensional Logistic Regression.

Zijian Guo, Prabrisha Rakshit, Daniel S. Herman, Jinbo Chen

J. Mach. Learn. Res., 2021

2020

A maximum likelihood approach to electronic health record phenotyping using positive and unlabeled patients.

Lingjiao Zhang, Xiruo Ding, Yanyuan Ma, Naveen Muthu, Imran Ajmal, Jason H. Moore, Daniel S. Herman, Jinbo Chen

J. Am. Medical Informatics Assoc., 2020

Ideas for how informaticians can get involved with COVID-19 research.

Jason H. Moore, Ian Barnett, Mary Regina Boland, Yong Chen, George Demiris, Graciela Gonzalez-Hernandez, Daniel S. Herman, Blanca E. Himes, Rebecca A. Hubbard, Dokyoon Kim, Jeffrey S. Morris, Danielle L. Mowery, Marylyn D. Ritchie, Li Shen, Ryan J. Urbanowicz, John H. Holmes

BioData Min., 2020