24 citations · 24 across the 4 of their papers we have counts for
4 papers
Identifying and mitigating bias in algorithms used to manage patients in a pandemic
Yifan Li, Garrett Yoon, Mustafa Nasir-Moin +4
Numerous COVID-19 clinical decision support systems have been developed. However many of these systems do not have the merit for validity due to methodological shortcomings includi…
Adaptive unsupervised learning with enhanced feature representation for intra-tumor partitioning and survival prediction for glioblastoma
Yifan Li, Chao Li, Yiran Wei +3
Glioblastoma is profoundly heterogeneous in regional microstructure and vasculature. Characterizing the spatial heterogeneity of glioblastoma could lead to more precise treatment.…
Bayesian optimization assisted unsupervised learning for efficient intra-tumor partitioning in MRI and survival prediction for glioblastoma patients
Yifan Li, Chao Li, Stephen Price +2
Glioblastoma is profoundly heterogeneous in microstructure and vasculature, which may lead to tumor regional diversity and distinct treatment response. Although successful in tumor…
Deep Learning Approaches for Extracting Adverse Events and Indications of Dietary Supplements from Clinical Text
Yadan Fan, Sicheng Zhou, Yifan Li +1
The objective of our work is to demonstrate the feasibility of utilizing deep learning models to extract safety signals related to the use of dietary supplements (DS) in clinical t…