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Yilin Ning

Has grant

Assistant Professor

Duke-NUS Medical School

Singapore

Research Interests

Recent Grants

Grant: Close

Khoo Postdoctoral Fellowship Award (KPFA)

Open Date: 2021-06-01

Close Date: 2023-05-01

Articles (20)

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2026

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Collaborators (11)

YOHEI OKADA

Assistant Professor

Duke-NUS Medical School

SINGAPORE

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JIE XU

University of Florida

UNITED STATES

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Irene Li

University of Tokyo

JAPAN

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Xiaoxuan Liu

University Hospitals Birmingham NHS Foundation Trust

UNITED KINGDOM

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Lionel Tim-Ee Cheng

Clinical Associate Professor

Duke-NUS Medical School

SINGAPORE

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Andrew Fu Wah Ho

Assistant Professor

Duke-NUS Medical School

SINGAPORE

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Nan Liu

Associate Professor

National University of Singapore (NUS)

SINGAPORE

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Feng Xie

Assistant Professor

University of Minnesota Twin Cities

UNITED STATES

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Arun Thirunavukarasu

London School of Hygiene & Tropical Medicine

UNITED KINGDOM

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Hairil Rizal Abdullah

Singapore General Hospital

SINGAPORE

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Bilal Akhter Mateen

University of Birmingham

UNITED KINGDOM

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Yilin Ning

Research Interests

Recent Grants

Articles (20)

Large language models in global health

Association between age and length of stay in the emergency department in a tertiary care hospital: a retrospective observational study

A scoping review and evidence gap analysis of clinical AI fairness

International partnership for governing generative artificial intelligence models in medicine.

⁠Advancing ethical AI in healthcare through interpretability

Disparities in clinical studies of AI enabled applications from a global perspective

Variable importance analysis with interpretable machine learning for fair risk prediction

Heat-related illness in Singapore: Descriptive analysis of a tertiary care center from 2008 to 2020

Mitigating Cognitive Biases in Clinical Decision-Making Through Multi-Agent Conversations Using Large Language Models: Simulation Study

An ethics assessment tool for artificial intelligence implementation in healthcare: CARE-AI

A modified and weighted Gower distance-based clustering analysis for mixed type data: a simulation and empirical analyses

FAIM: Fairness-aware interpretable modeling for trustworthy machine learning in healthcare

Generative artificial intelligence and ethical considerations in health care: a scoping review and ethics checklist

A translational perspective towards clinical AI fairness

Topical Atropine for Childhood Myopia Control: The Atropine Treatment Long-Term Assessment Study.

Handling missing values in healthcare data

A universal AutoScore framework to develop interpretable scoring systems for predicting common types of clinical outcomes

Explainable artificial intelligence in emergency medicine: an overview

FedScore: A privacy-preserving framework for federated scoring system development

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

Collaborators (11)

YOHEI OKADA

JIE XU

Irene Li

Xiaoxuan Liu

Lionel Tim-Ee Cheng

Andrew Fu Wah Ho

Nan Liu

Feng Xie

Arun Thirunavukarasu

Hairil Rizal Abdullah

Bilal Akhter Mateen

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