Mengling 'Mornin' Feng

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

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Mengling 'Mornin' Feng

National University of Singapore

Dirección de correo verificada de nus.edu.sg - Página principal

Machine Learning Healthcare Analytics


Título Ordenar por citas Ordenar por año Ordenar por título	Citado por Citado por	Año
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	7849	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	378	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, ...	282	2015
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	211	2016
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	208	2020
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	190	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	162	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	157	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	143	2021
Contrast adaptive binarization of low quality document images ML Feng, YP Tan IEICE Electronics Express 1 (16), 501-506, 2004	123	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	114	2020
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 arXiv preprint arXiv:2310.05694, 2023	106	2023
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
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	99	2016
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
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	88	2022
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
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	84	2016
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	83	2015
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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