7 citations · 9 across the 5 of their papers we have counts for
4 papers
GRU-D-Weibull: A Novel Real-Time Individualized Endpoint Prediction
Xiaoyang Ruan, Liwei Wang, Charat Thongprayoon +2
Accurate prediction models for individual-level endpoints and time-to-endpoints are crucial in clinical practice. In this study, we propose a novel approach, GRU-D-Weibull, which c…
A Cross-institutional Evaluation on Breast Cancer Phenotyping NLP Algorithms on Electronic Health Records
Sicheng Zhou, Nan Wang, Liwei Wang +4
Objective: The generalizability of clinical large language models is usually ignored during the model development process. This study evaluated the generalizability of BERT-based c…
The NLP Sandbox: an efficient model-to-data system to enable federated and unbiased evaluation of clinical NLP models
Yao Yan, Thomas Yu, Kathleen Muenzen +14
Objective The evaluation of natural language processing (NLP) models for clinical text de-identification relies on the availability of clinical notes, which is often restricted due…
MatLM: a Matrix Formulation for Probabilistic Language Models
Yanshan Wang, Hongfang Liu
Probabilistic language models are widely used in Information Retrieval (IR) to rank documents by the probability that they generate the query. However, the implementation of the pr…