Siqi Li

Singapore, Singapore

Last Updated: 09/26/2026

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Found 18 publications

Author Correction: Leveraging AI and transfer learning to enhance out-of-hospital cardiac arrest outcome prediction in diverse setting.

Author Correction: Leveraging AI and transfer learning to enhance out-of-hospital cardiac arrest outcome prediction in diverse setting.

Journal: NPJ digital medicine

Published: February 02, 2026

FairFML: A Unified Approach to Algorithmic Fair Federated Learning with Applications to Reducing Gender Disparities in Cardiac Arrest Outcomes.

FairFML: A Unified Approach to Algorithmic Fair Federated Learning with Applications to Reducing Gender Disparities in Cardiac Arrest Outcomes.

Journal: Studies in health technology and informatics

Published: August 08, 2025

Transfer Learning Enhances Neurological Outcome Prediction for Out-of-Hospital Cardiac Arrest: Validation Across Diverse Geographic Contexts.

Transfer Learning Enhances Neurological Outcome Prediction for Out-of-Hospital Cardiac Arrest: Validation Across Diverse Geographic Contexts.

Journal: Studies in health technology and informatics

Published: August 08, 2025

Leveraging AI and transfer learning to enhance out-of-hospital cardiac arrest outcome prediction in diverse setting.

Leveraging AI and transfer learning to enhance out-of-hospital cardiac arrest outcome prediction in diverse setting.

Journal: NPJ digital medicine

Published: May 16, 2025

FairFML: fair federated machine learning with a case study on reducing gender disparities in cardiac arrest outcome prediction.

FairFML: fair federated machine learning with a case study on reducing gender disparities in cardiac arrest outcome prediction.

Journal: npj health systems

Published: March 23, 2025

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

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

Journal: Health data science

Published: October 25, 2024

Developing federated time-to-event scores using heterogeneous real-world survival data.

Developing federated time-to-event scores using heterogeneous real-world survival data.

Journal: Computers in biology and medicine

Published: August 25, 2024

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

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

Journal: Journal of biomedical informatics

Published: August 14, 2024

Federated Learning in Healthcare: A Benchmark Comparison of Engineering and Statistical Approaches for Structured Data Analysis.

Federated Learning in Healthcare: A Benchmark Comparison of Engineering and Statistical Approaches for Structured Data Analysis.

Journal: Health data science

Published: March 11, 2024

Variable importance analysis with interpretable machine learning for fair risk prediction.

Variable importance analysis with interpretable machine learning for fair risk prediction.

Journal: PLOS digital health

Published: November 09, 2023

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

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

Journal: Journal of the American Medical Informatics Association : JAMIA

Published: May 19, 2023

Federated machine learning in healthcare: A systematic review on clinical applications and technical architecture.

Federated machine learning in healthcare: A systematic review on clinical applications and technical architecture.

Journal: Cell reports. Medicine

Published: May 08, 2023

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Last Updated: 09/26/2026