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20232026
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cs.LG2025

TRACER: Transfer Learning based Real-time Adaptation for Clinical Evolving Risk

Mengying Yan, Ziye Tian, Siqi Li +4

Clinical decision support tools built on electronic health records often experience performance drift due to temporal population shifts, particularly when changes in the clinical e…

cs.LG2025

Shift-Invariant Attribute Scoring for Kolmogorov-Arnold Networks via Shapley Value

Wangxuan Fan, Ching Wang, Siqi Li +1

For many real-world applications, understanding feature-outcome relationships is as crucial as achieving high predictive accuracy. While traditional neural networks excel at predic…

cs.LG2024

Bridging Data Gaps in Healthcare: A Scoping Review of Transfer Learning in Biomedical Data Analysis

Siqi Li, Xin Li, Kunyu Yu +12

Clinical and biomedical research in low-resource settings often faces significant challenges due to the need for high-quality data with sufficient sample sizes to construct effecti…

cs.LG2023

Federated Learning for Clinical Structured Data: A Benchmark Comparison of Engineering and Statistical Approaches

Siqi Li, Di Miao, Qiming Wu +9

Federated learning (FL) has shown promising potential in safeguarding data privacy in healthcare collaborations. While the term "FL" was originally coined by the engineering commun…

cs.LG2023

Federated and distributed learning applications for electronic health records and structured medical data: A scoping review

Siqi Li, Pinyan Liu, Gustavo G. Nascimento +12

Federated learning (FL) has gained popularity in clinical research in recent years to facilitate privacy-preserving collaboration. Structured data, one of the most prevalent forms…