| Autoscore: a machine learning–based automatic clinical score generator and its application to mortality prediction using electronic health records F Xie, B Chakraborty, MEH Ong, BA Goldstein, N Liu JMIR medical informatics 8 (10), e21798, 2020 | 114 | 2020 |
| Deep learning for temporal data representation in electronic health records: A systematic review of challenges and methodologies F Xie, H Yuan, Y Ning, MEH Ong, M Feng, W Hsu, B Chakraborty, N Liu Journal of biomedical informatics 126, 103980, 2022 | 106 | 2022 |
| Handling missing values in healthcare data: A systematic review of deep learning-based imputation techniques M Liu, S Li, H Yuan, MEH Ong, Y Ning, F Xie, SE Saffari, Y Shang, ... Artificial intelligence in medicine 142, 102587, 2023 | 55 | 2023 |
| Development and assessment of an interpretable machine learning triage tool for estimating mortality after emergency admissions F Xie, MEH Ong, JNMH Liew, KBK Tan, AFW Ho, GD Nadarajan, LL Low, ... JAMA network open 4 (8), e2118467-e2118467, 2021 | 48 | 2021 |
| Benchmarking emergency department prediction models with machine learning and public electronic health records F Xie, J Zhou, JW Lee, M Tan, S Li, LSO Rajnthern, ML Chee, ... Scientific Data 9 (1), 658, 2022 | 43 | 2022 |
| Heart rate n-variability (HRnV) and its application to risk stratification of chest pain patients in the emergency department N Liu, D Guo, ZX Koh, AFW Ho, F Xie, T Tagami, JT Sakamoto, PP Pek, ... BMC Cardiovascular Disorders 20, 1-14, 2020 | 25 | 2020 |
| A novel interpretable machine learning system to generate clinical risk scores: An application for predicting early mortality or unplanned readmission in a retrospective cohort … Y Ning, S Li, MEH Ong, F Xie, B Chakraborty, DSW Ting, N Liu PLOS Digital Health 1 (6), e0000062, 2022 | 23 | 2022 |
| Leveraging large-scale electronic health records and interpretable machine learning for clinical decision making at the emergency department: protocol for system development … N Liu, F Xie, FJ Siddiqui, AFW Ho, B Chakraborty, GD Nadarajan, ... JMIR Research Protocols 11 (3), e34201, 2022 | 23 | 2022 |
| AutoScore-Survival: Developing interpretable machine learning-based time-to-event scores with right-censored survival data F Xie, Y Ning, H Yuan, BA Goldstein, MEH Ong, N Liu, B Chakraborty Journal of Biomedical Informatics 125, 103959, 2022 | 22 | 2022 |
| Novel model for predicting inpatient mortality after emergency admission to hospital in Singapore: retrospective observational study F Xie, N Liu, SX Wu, Y Ang, LL Low, AFW Ho, SSW Lam, DB Matchar, ... BMJ open 9 (9), e031382, 2019 | 21 | 2019 |
| AutoScore-Imbalance: An interpretable machine learning tool for development of clinical scores with rare events data H Yuan, F Xie, MEH Ong, Y Ning, ML Chee, SE Saffari, HR Abdullah, ... Journal of Biomedical Informatics 129, 104072, 2022 | 18 | 2022 |
| Federated and distributed learning applications for electronic health records and structured medical data: a scoping review S Li, P Liu, GG Nascimento, X Wang, FRM Leite, B Chakraborty, C Hong, ... Journal of the American Medical Informatics Association 30 (12), 2041-2049, 2023 | 15 | 2023 |
| Development and validation of an interpretable machine learning scoring tool for estimating time to emergency readmissions F Xie, N Liu, L Yan, Y Ning, KK Lim, C Gong, YH Kwan, AFW Ho, LL Low, ... EClinicalMedicine 45, 2022 | 12 | 2022 |
| A universal AutoScore framework to develop interpretable scoring systems for predicting common types of clinical outcomes F Xie, Y Ning, M Liu, S Li, SE Saffari, H Yuan, V Volovici, DSW Ting, ... STAR protocols 4 (2), 102302, 2023 | 11 | 2023 |
| An external validation study of the Score for Emergency Risk Prediction (SERP), an interpretable machine learning-based triage score for the emergency department JY Yu, F Xie, L Nan, S Yoon, MEH Ong, YY Ng, WC Cha Scientific Reports 12 (1), 17466, 2022 | 10 | 2022 |
| Development and validation of an interpretable clinical score for early identification of acute kidney injury at the emergency department Y Ang, S Li, MEH Ong, F Xie, SH Teo, L Choong, R Koniman, ... Scientific Reports 12 (1), 7111, 2022 | 10 | 2022 |
| AutoScore-Ordinal: an interpretable machine learning framework for generating scoring models for ordinal outcomes SE Saffari, Y Ning, F Xie, B Chakraborty, V Volovici, R Vaughan, ... BMC Medical Research Methodology 22 (1), 286, 2022 | 8 | 2022 |
| FedScore: A privacy-preserving framework for federated scoring system development S Li, Y Ning, MEH Ong, B Chakraborty, C Hong, F Xie, H Yuan, M Liu, ... Journal of Biomedical Informatics 146, 104485, 2023 | 7 | 2023 |
| Automated machine learning with interpretation: a systematic review of methodologies and applications in healthcare H Yuan, K Yu, F Xie, M Liu, S Sun Medicine Advances 2 (3), 205-237, 2024 | 6 | 2024 |
| Development and Asian-wide validation of the Grade for Interpretable Field Triage (GIFT) for predicting mortality in pre-hospital patients using the Pan-Asian Trauma Outcomes … JY Yu, S Heo, F Xie, N Liu, SY Yoon, HS Chang, T Kim, SU Lee, ... The Lancet Regional Health–Western Pacific 34, 2023 | 5 | 2023 |
MEH ONGSenior Consultant, Singapore General HospitalVerified email at sgh.com.sg