Mengying Yan

Journal Article J Biomed Inform · May 2025 OBJECTIVES: We propose FedIMPUTE, a communication-efficient federated learning (FL) based approach for missing value imputation (MVI). Our method enables multiple sites to collaboratively perform MVI in a privacy-preserving manner, addressing challenges of ... Full text Link to item Cite

Mitigating Racial And Ethnic Bias And Advancing Health Equity In Clinical Algorithms: A Scoping Review.

Journal Article Health Aff (Millwood) · October 2023 In August 2022 the Department of Health and Human Services (HHS) issued a notice of proposed rulemaking prohibiting covered entities, which include health care providers and health plans, from discriminating against individuals when using clinical algorith ... Full text Link to item Cite

Observability and its impact on differential bias for clinical prediction models.

Journal Article J Am Med Inform Assoc · April 13, 2022 OBJECTIVE: Electronic health records have incomplete capture of patient outcomes. We consider the case when observability is differential across a predictor. Including such a predictor (sensitive variable) can lead to algorithmic bias, potentially exacerba ... Full text Link to item Cite

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Mengying Yan

Current Appointments & Affiliations

Recent Publications

FedIMPUTE: Privacy-preserving missing value imputation for multi-site heterogeneous electronic health records.

Mitigating Racial And Ethnic Bias And Advancing Health Equity In Clinical Algorithms: A Scoping Review.

Observability and its impact on differential bias for clinical prediction models.

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