no code implementations • 18 Apr 2024 • Zixiang Chen, Jun Han, YongQian Li, Yiwen Kou, Eran Halperin, Robert E. Tillman, Quanquan Gu
Electronic health records (EHRs) are a pivotal data source that enables numerous applications in computational medicine, e. g., disease progression prediction, clinical trial design, and health economics and outcomes research.
no code implementations • 6 Dec 2023 • Joel Stremmel, Ardavan Saeedi, Hamid Hassanzadeh, Sanjit Batra, Jeffrey Hertzberg, Jaime Murillo, Eran Halperin
Our method uses the idea of a classification model explainer to generate questions and answers about medical concepts corresponding to medical codes.
no code implementations • 22 Nov 2023 • Zhichao Yang, Sanjit Singh Batra, Joel Stremmel, Eran Halperin
Recent advances in large language models (LLMs) show potential for clinical applications, such as clinical decision support and trial recommendations.
2 code implementations • 2 Sep 2022 • Joel Stremmel, Brian L. Hill, Jeffrey Hertzberg, Jaime Murillo, Llewelyn Allotey, Eran Halperin
While Transformer language models (LMs) are state-of-the-art for information extraction, long text introduces computational challenges requiring suboptimal preprocessing steps or alternative model architectures.
no code implementations • 22 May 2017 • Matan Gavish, Regev Schweiger, Elior Rahmani, Eran Halperin
Various problems in data analysis and statistical genetics call for recovery of a column-sparse, low-rank matrix from noisy observations.