Nan Liu
Orcid: 0000-0003-3610-4883Affiliations:
- Singapore Health Services, Singapore
- National University of Singapore, Duke-NUS Medical School, Singapore
- Singapore General Hospital, Singapore
According to our database1,
Nan Liu
authored at least 68 papers
between 2005 and 2024.
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Bibliography
2024
Clinical domain knowledge-derived template improves post hoc AI explanations in pneumothorax classification.
J. Biomed. Informatics, 2024
Bridging Data Gaps in Healthcare: A Scoping Review of Transfer Learning in Biomedical Data Analysis.
CoRR, 2024
A Proposed S.C.O.R.E. Evaluation Framework for Large Language Models : Safety, Consensus, Objectivity, Reproducibility and Explainability.
CoRR, 2024
CoRR, 2024
Survival modeling using deep learning, machine learning and statistical methods: A comparative analysis for predicting mortality after hospital admission.
CoRR, 2024
Fairness-Aware Interpretable Modeling (FAIM) for Trustworthy Machine Learning in Healthcare.
CoRR, 2024
Developing Federated Time-to-Event Scores Using Heterogeneous Real-World Survival Data.
CoRR, 2024
Fine-tuning Large Language Model (LLM) Artificial Intelligence Chatbots in Ophthalmology and LLM-based evaluation using GPT-4.
CoRR, 2024
Development and Testing of Retrieval Augmented Generation in Large Language Models - A Case Study Report.
CoRR, 2024
Enhancing Diagnostic Accuracy through Multi-Agent Conversations: Using Large Language Models to Mitigate Cognitive Bias.
CoRR, 2024
Evaluating the Efficacy of Federated Scoring Systems with Heterogeneous Electronic Health Records.
Proceedings of the Second Tiny Papers Track at ICLR 2024, 2024
2023
Federated and distributed learning applications for electronic health records and structured medical data: a scoping review.
J. Am. Medical Informatics Assoc., November, 2023
J. Biomed. Informatics, October, 2023
Neural Networks, August, 2023
A scoping review of the clinical application of machine learning in data-driven population segmentation analysis.
J. Am. Medical Informatics Assoc., August, 2023
Handling missing values in healthcare data: A systematic review of deep learning-based imputation techniques.
Artif. Intell. Medicine, August, 2023
HRnV-Calc: A Software for Heart Rate n-Variability and Heart Rate Variability Analysis.
J. Open Source Softw., July, 2023
CoRR, 2023
Federated Learning for Clinical Structured Data: A Benchmark Comparison of Engineering and Statistical Approaches.
CoRR, 2023
Generative Artificial Intelligence in Healthcare: Ethical Considerations and Assessment Checklist.
CoRR, 2023
CoRR, 2023
2022
AutoScore-Imbalance: An interpretable machine learning tool for development of clinical scores with rare events data.
J. Biomed. Informatics, 2022
Deep learning for temporal data representation in electronic health records: A systematic review of challenges and methodologies.
J. Biomed. Informatics, 2022
AutoScore-Survival: Developing interpretable machine learning-based time-to-event scores with right-censored survival data.
J. Biomed. Informatics, 2022
Handling missing values in healthcare data: A systematic review of deep learning-based imputation techniques.
CoRR, 2022
Balanced background and explanation data are needed in explaining deep learning models with SHAP: An empirical study on clinical decision making.
CoRR, 2022
Benchmarking Emergency Department Triage Prediction Models with Machine Learning and Large Public Electronic Health Records.
Proceedings of the AMIA 2022, 2022
AutoScore-Ordinal: An Interpretable Machine Learning Framework for Generating Scoring Models for Ordinal Outcomes.
Proceedings of the AMIA 2022, 2022
A Novel Interpretable Machine Learning System to Generate Clinical Risk Scores: An Application for Predicting Early Mortality or Unplanned Readmission in A Retrospective Cohort Study.
Proceedings of the AMIA 2022, 2022
2021
Benchmarking Predictive Risk Models for Emergency Departments with Large Public Electronic Health Records.
CoRR, 2021
HRnV-Calc: A software package for heart rate n-variability and heart rate variability analysis.
CoRR, 2021
Development and Validation of a Survival Score for the Emergency Department in Singapore.
Proceedings of the AMIA 2021, American Medical Informatics Association Annual Symposium, San Diego, CA, USA, October 30, 2021, 2021
2020
Proceedings of the Digital Personalized Health and Medicine - Proceedings of MIE 2020, Medical Informatics Europe, Geneva, Switzerland, April 28, 2020
2019
Serial Heart Rate Variability Measures for Risk Prediction of Septic Patients in the Emergency Department.
Proceedings of the AMIA 2019, 2019
2018
Predictive Modeling of Hospital Readmissions with Sparse Bayesian Extreme Learning Machine.
Proceedings of ELM 2018, 2018
Development of a Radiology Decision Support System for the Classification of MRI Brain Scans.
Proceedings of the 5th IEEE/ACM International Conference on Big Data Computing Applications and Technologies, 2018
2017
BMC Medical Informatics Decis. Mak., 2017
Extreme learning machine based mutual information estimation with application to time-series change-points detection.
Neurocomputing, 2017
Ensemble-Based Risk Scoring with Extreme Learning Machine for Prediction of Adverse Cardiac Events.
Cogn. Comput., 2017
2015
Landmark recognition with sparse representation classification and extreme learning machine.
J. Frankl. Inst., 2015
Ensemble of subset online sequential extreme learning machine for class imbalance and concept drift.
Neurocomputing, 2015
Manifold ranking based scoring system with its application to cardiac arrest prediction: A retrospective study in emergency department patients.
Comput. Biol. Medicine, 2015
Effects of two new features of approximate entropy and sample entropy on cardiac arrest prediction.
Proceedings of the 2015 IEEE International Symposium on Circuits and Systems, 2015
Proceedings of the 2015 IEEE International Conference on Digital Signal Processing, 2015
Proceedings of the 2015 IEEE International Conference on Digital Signal Processing, 2015
2014
Risk Scoring for Prediction of Acute Cardiac Complications from Imbalanced Clinical Data.
IEEE J. Biomed. Health Informatics, 2014
Prediction of adverse cardiac events in emergency department patients with chest pain using machine learning for variable selection.
BMC Medical Informatics Decis. Mak., 2014
2013
J. Signal Process. Syst., 2013
2012
IEEE Trans. Inf. Technol. Biomed., 2012
Appl. Soft Comput., 2012
2011
J. Signal Process. Syst., 2011
2010
2009
IEEE Signal Process. Lett., 2009
2008
IEICE Electron. Express, 2008
Proceedings of the International Joint Conference on Neural Networks, 2008
2007
Proceedings of the IEEE International Conference on Systems, 2007
Extraction of hybrid trace features with evolutionary computation for face recognition.
Proceedings of the IEEE Congress on Evolutionary Computation, 2007
2006
Feature Extraction with Genetic Algorithms Based Nonlinear Principal Component Analysis for Face Recognition.
Proceedings of the 18th International Conference on Pattern Recognition (ICPR 2006), 2006
Proceedings of the Ninth International Conference on Control, 2006
2005
Proceedings of the IEEE International Conference on Systems, 2005