| 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 | 66 | 2022 |
| Longitudinal trends in HbA1c and associations with comorbidity and all-cause mortality in Asian patients with type 2 diabetes: a cohort study M Luo, WY Lim, CS Tan, Y Ning, KS Chia, RM van Dam, WE Tang, ... Diabetes research and clinical practice 133, 69-77, 2017 | 65 | 2017 |
| Associations between early-life screen viewing and 24 hour movement behaviours: findings from a longitudinal birth cohort study B Chen, JY Bernard, N Padmapriya, Y Ning, S Cai, C Lança, KH Tan, ... The Lancet Child & Adolescent Health 4 (3), 201-209, 2020 | 50 | 2020 |
| Shapley variable importance cloud for interpretable machine learning Y Ning, MEH Ong, B Chakraborty, BA Goldstein, DSW Ting, R Vaughan, ... Patterns 3 (4), 2022 | 43 | 2022 |
| Individual and population trajectories of influenza antibody titers over multiple seasons in a tropical country X Zhao, Y Ning, MIC Chen, AR Cook American Journal of Epidemiology 187 (1), 135-143, 2018 | 28 | 2018 |
| Predicting satisfaction for unicompartmental knee arthroplasty patients in an Asian population M Lee, Y Huang, HC Chong, Y Ning, NN Lo, SJ Yeo The Journal of Arthroplasty 31 (8), 1706-1710, 2016 | 27 | 2016 |
| Development and validation of an interpretable prehospital return of spontaneous circulation (P-ROSC) score for patients with out-of-hospital cardiac arrest using machine … N Liu, M Liu, X Chen, Y Ning, JW Lee, FJ Siddiqui, SE Saffari, AFW Ho, ... EClinicalMedicine 48, 2022 | 22 | 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 | 15 | 2022 |
| Reasons and factors behind post-total knee arthroplasty dissatisfaction in an Asian population Y Huang, M Lee, HC Chong, Y Ning, NN Lo, SJ Yeo Ann Acad Med Singapore 46 (8), 303-9, 2017 | 14 | 2017 |
| 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 | 13 | 2022 |
| Gender disparities among adult recipients of layperson bystander cardiopulmonary resuscitation by location of cardiac arrest in Pan-Asian communities: A registry-based study N Liu, Y Ning, MEH Ong, SE Saffari, HH Ryu, K Kajino, CH Lin, SA Karim, ... EClinicalMedicine 44, 2022 | 13 | 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, 102587, 2023 | 11 | 2023 |
| 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 | 11 | 2022 |
| 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 | 8 | 2022 |
| Evaluating the effectiveness of a multi-faceted inpatient diabetes management program among hospitalised patients with diabetes mellitus SL Kao, Y Chen, Y Ning, M Tan, M Salloway, EYH Khoo, ES Tai, CS Tan Clinical Diabetes and Endocrinology 6, 1-13, 2020 | 8 | 2020 |
| A translational perspective towards clinical AI fairness M Liu, Y Ning, S Teixayavong, M Mertens, J Xu, DSW Ting, LTE Cheng, ... NPJ Digital Medicine 6 (1), 172, 2023 | 7 | 2023 |
| Feasibility of representing adherence to blood glucose monitoring through visualizations: a pilot survey study among healthcare workers Y Chen, SL Kao, M Tan, Y Ning, M Salloway, HL Wee, K Venkataraman, ... International Journal of Medical Informatics 120, 172-178, 2018 | 7 | 2018 |
| Are global tuberculosis control targets overlooking an essential indicator? Prolonged delays to diagnosis despite high case detection rates in Yunnan, China MS Khan, Y Ning, C Jinou, C Hutchison, J Yoong, X Lin, RJ Coker Health policy and planning 32 (suppl_2), ii15-ii21, 2017 | 7 | 2017 |
| Utilizing distributional analytics and electronic records to assess timeliness of inpatient blood glucose monitoring in non-critical care wards Y Chen, SL Kao, ES Tai, HL Wee, EYH Khoo, Y Ning, MK Salloway, ... BMC Medical Research Methodology 16, 1-9, 2016 | 7 | 2016 |
| A de-identification tool for users in medical operations and public health MK Salloway, X Deng, Y Ning, SL Kao, Y Chen, GO Schaefer, JJL Chin, ... 2016 IEEE-EMBS International Conference on Biomedical and Health Informatics …, 2016 | 7 | 2016 |
MEH ONGSenior Consultant, Singapore General HospitalAdresse e-mail validée de sgh.com.sg
