Mengling 'Mornin' Feng

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Mohammad Mahdi GhassemiMichigan State UniversityVerified email at msu.edu
Alistair JohnsonVerified email at mit.edu
Peter SzolovitsProfessor of Computer Science and Engineering, MITVerified email at mit.edu
Limsoon Wong 黄任祥KITHCT Professor of Computer Science & Professor of Pathology, National University of SingaporeVerified email at comp.nus.edu.sg
Thomas BrennanPost-doctoral Research Engineer, Laboratory of Computational Physiology, Massachusetts Institute of TechnologyVerified email at mit.edu
Dr. Marzyeh GhassemiAssociate Professor, EECS/IMES, MITVerified email at mit.edu
Marco PimentelPost-doctoral Research Assistant, University of OxfordVerified email at eng.ox.ac.uk
Joon LeeProfessor, Cumming School of Medicine, University of CalgaryVerified email at ucalgary.ca
Jinyan LiDistinguished Professor, 深圳理工大学；Adjunct Professor, University of Technology SydneyVerified email at uts.edu.au
Kenneth P. ChenUC San DiegoVerified email at ucsd.edu
Yap-Peng TANNanyang Technological UniversityVerified email at ntu.edu.sg
Cuntai GuanPresident's Chair Professor, CCDS, Nanyang Technological UniversityVerified email at ntu.edu.sg
Louis MAYAUDMensia TechnologiesVerified email at mensiatech.com
See-Kiong NgInstitute of Data Science and School of Computing, National University of SingaporeVerified email at nus.edu.sg
Omar Badawi, PharmD, MPH, FCCMUS Army Telemedicine and Advanced Technology Research CenterVerified email at health.mil
Andrea IppolitoPhD Student, MITVerified email at mit.edu
Hung NguyenProfessor Emeritus, University of Technology SydneyVerified email at uts.edu.au
David A. CliftonChair of Clinical Machine Learning, University of OxfordVerified email at eng.ox.ac.uk
Zhuo ZhangInstitute for Infocomm Research, A*STAR, SingaporeVerified email at i2r.a-star.edu.sg
Abdelhak M. ZoubirProfessor of Signal Processing, Technische Universität DarmstadtVerified email at spg.tu-darmstadt.de

Mengling 'Mornin' Feng

National University of Singapore

Verified email at nus.edu.sg - Homepage

Machine Learning Healthcare Analytics


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MIMIC-III, a freely accessible critical care database AEW Johnson, TJ Pollard, L Shen, LH Lehman, M Feng, M Ghassemi, ... Scientific data 3 (1), 1-9, 2016	8193	2016
Evaluation of combined artificial intelligence and radiologist assessment to interpret screening mammograms T Schaffter, DSM Buist, CI Lee, Y Nikulin, D Ribli, Y Guan, W Lotter, Z Jie, ... JAMA network open 3 (3), e200265-e200265, 2020	399	2020
A Multivariate Timeseries Modeling Approach to Severity of Illness Assessment and Forecasting in ICU with Sparse, Heterogeneous Clinical Data M Ghassemi, MAF Pimentel, T Naumann, T Brennan, DA Clifton, ...	287	2015
Reinforcement learning for clinical decision support in critical care: comprehensive review S Liu, KC See, KY Ngiam, LA Celi, X Sun, M Feng Journal of medical Internet research 22 (7), e18477, 2020	223	2020
MIMIC-III, a freely accessible critical care database Sci AE Johnson, TJ Pollard, L Shen, LH Lehman, M Feng, M Ghassemi, ... Data 3 (1), 1, 2016	219	2016
Transthoracic echocardiography and mortality in sepsis: analysis of the MIMIC-III database M Feng, JI McSparron, DT Kien, DJ Stone, DH Roberts, RM Schwartzstein, ... Intensive care medicine 44, 884-892, 2018	206	2018
Obesity, acute kidney injury, and mortality in critical illness J Danziger, KP Chen, J Lee, M Feng, RG Mark, LA Celi, KJ Mukamal Critical care medicine 44 (2), 328-334, 2016	167	2016
Peripheral edema, central venous pressure, and risk of AKI in critical illness KP Chen, S Cavender, J Lee, M Feng, RG Mark, LA Celi, KJ Mukamal, ... Clinical Journal of the American Society of Nephrology 11 (4), 602-608, 2016	163	2016
Federated learning: a collaborative effort to achieve better medical imaging models for individual sites that have small labelled datasets D Ng, X Lan, MMS Yao, WP Chan, M Feng Quantitative Imaging in Medicine and Surgery 11 (2), 852, 2021	148	2021
A survey of large language models for healthcare: from data, technology, and applications to accountability and ethics K He, R Mao, Q Lin, Y Ruan, X Lan, M Feng, E Cambria Information Fusion, 102963, 2025	143	2025
Contrast adaptive binarization of low quality document images ML Feng, YP Tan IEICE Electronics Express 1 (16), 501-506, 2004	124	2004
The search for optimal oxygen saturation targets in critically ill patients: observational data from large ICU databases W van den Boom, M Hoy, J Sankaran, M Liu, H Chahed, M Feng, KC See Chest 157 (3), 566-573, 2020	123	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	107	2022
MIMIC-III, a freely accessible critical care database. Sci Data. 2016; 3: 160035 AE Johnson, TJ Pollard, L Shen, LW Lehman, M Feng, M Ghassemi, ... PubMed: https://pubmed. ncbi. nlm. nih. gov/27219127, 2016	107	2016
Making big data useful for health care: a summary of the inaugural mit critical data conference O Badawi, T Brennan, LA Celi, M Feng, M Ghassemi, A Ippolito, ... JMIR medical informatics 2 (2), e3447, 2014	100	2014
Relative risk and odds ratio: A data mining perspective H Li, J Li, L Wong, M Feng, YP Tan Proceedings of the twenty-fourth ACM SIGMOD-SIGACT-SIGART symposium on …, 2005	97	2005
Hyperdynamic left ventricular ejection fraction in the intensive care unit JR Paonessa, T Brennan, M Pimentel, D Steinhaus, M Feng, LA Celi Critical care 19, 1-7, 2015	86	2015
A “datathon” model to support cross-disciplinary collaboration J Aboab, LA Celi, P Charlton, M Feng, M Ghassemi, DC Marshall, ... Science Translational Medicine 8 (333), 333ps8-333ps8, 2016	85	2016
An empirical comparison of several recent epistatic interaction detection methods Y Wang, G Liu, M Feng, L Wong Bioinformatics 27 (21), 2936-2943, 2011	85	2011
Understanding vasopressor intervention and weaning: risk prediction in a public heterogeneous clinical time series database M Wu, M Ghassemi, M Feng, LA Celi, P Szolovits, F Doshi-Velez Journal of the American Medical Informatics Association 24 (3), 488-495, 2017	73	2017

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