David Kurland

According to our database, David Kurland authored at least 3 papers between 2019 and 2023.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of three.

2023

Health system-scale language models are all-purpose prediction engines.

Lavender Yao Jiang, Xujin Chris Liu, Nima Pour Nejatian, Mustafa Nasir-Moin, Duo Wang, Anas Z. Abidin, Kevin Eaton, Howard Antony Riina, Ilya Laufer, Paawan Punjabi, Madeline Miceli, Nora C. Kim, Cordelia Orillac, Zane Schnurman, Christopher Livia, Hannah Weiss, David Kurland, Sean Neifert, Yosef Dastagirzada, Douglas Kondziolka, Alexander T. M. Cheung, Grace Yang, Ming Cao, Mona Flores, Anthony B. Costa, Yindalon Aphinyanaphongs, Kyunghyun Cho, Eric Karl Oermann

Nat., 2023

2022

Language Model Classifier Aligns Better with Physician Word Sensitivity than XGBoost on Readmission Prediction.

Grace Yang, Ming Cao, Lavender Y. Jiang, Xujin Chris Liu, Alexander T. M. Cheung, Hannah Weiss, David Kurland, Kyunghyun Cho, Eric K. Oermann

CoRR, 2022

2019

Human Disease Ontology 2018 update: classification, content and workflow expansion.

Lynn M. Schriml, Elvira Mitraka, James B. Munro, Becky Tauber, Mike Schor, Lance Nickle, Victor Felix, Linda Jeng, Cynthia Bearer, Richard Lichenstein, Katharine Bisordi, Nicole Campion, Brooke Hyman, David Kurland, Connor Patrick Oates, Siobhan Kibbey, Poorna Sreekumar, Chris Le, Michelle G. Giglio, Carol Greene

Nucleic Acids Res., 2019