Dr. Marzyeh Ghassemi

Cited by

	All	Since 2016
Citations	2197	2067
h-index	23	23
i10-index	38	36

1100

550

275

825

2013201420152016201720182019202020218 19 73 103 195 262 389 1060 36

Co-authors

Peter SzolovitsProfessor of Computer Science and Engineering, MITVerified email at mit.edu
Tristan NaumannSenior Researcher, Microsoft Research Healthcare NExTVerified email at microsoft.com
Leo Anthony CeliMassachusetts Institute of TechnologyVerified email at mit.edu
Matthew B. A. McDermottPhD Student, Massachusetts Institute of TechnologyVerified email at mit.edu
Daryush D. Mehta, PhDDirector of Voice Science and Technology Laboratory, Center for Laryngeal Surgery and VoiceVerified email at alum.mit.edu
Jarrad H Van StanHarvard Medical School and Massachusetts General HospitalVerified email at mghihp.edu
Finale DoshiAssistant Professor, HarvardVerified email at seas.harvard.edu
Mengling 'Mornin' FengNational University of SingaporeVerified email at nus.edu.sg
Irene Y. ChenPhD Student, MITVerified email at mit.edu
Matías ZañartuDepartment of Electronic Engineering, Universidad Técnica Federico Santa MaríaVerified email at usm.cl
Anna GoldenbergScientist, SickKids Research Institute; Assistant Professor Department of Computer Science, University of TorontoVerified email at utoronto.ca
Karsten RothMaster Student, Computer Vision Group, Heidelberg UniversityVerified email at stud.uni-heidelberg.de
Joseph Paul CohenPostdoctoral Fellow, AIMI (Stanford University) + Mila (Quebec AI Institute)Verified email at stanford.edu
Anna RumshiskyUMass LowellVerified email at csail.mit.edu
Andrew L. BeamAssistant Professor, Harvard UniversityVerified email at hms.harvard.edu
Alistair JohnsonMassachusetts Institute of TechnologyVerified email at mit.edu
Thomas BrennanPost-doctoral Research Engineer, Laboratory of Computational Physiology, Massachusetts Institute of TechnologyVerified email at mit.edu
Rajesh RanganathAssistant Professor, NYUVerified email at cs.princeton.edu
William BoagMassachusetts Institute of TechnologyVerified email at mit.edu
Peter SchulamAmazon AlexaVerified email at cs.jhu.edu

Dr. Marzyeh Ghassemi

Assistant Professor, Computer Science/Medicine, University of Toronto & Vector Institute

Verified email at cs.toronto.edu - Homepage

Artificial Intelligence Machine Learning Interprettable Big Data Models Clinical Inference


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Covid-19 image data collection: Prospective predictions are the future JP Cohen, P Morrison, L Dao, K Roth, TQ Duong, M Ghassemi arXiv preprint arXiv:2006.11988, 2020	337	2020
COVID-19 Image Data Collection: Prospective Predictions Are the Future JP Cohen, P Morrison, L Dao, K Roth, TQ Duong, M Ghassemi arXiv preprint arXiv:2006.11988, 2020	337	2020
Unfolding Physiological State: Mortality Modelling in Intensive Care Units M Ghassemi, T Naumann, F Doshi-Velez, N Brimmer, R Joshi, ... KDD 2014, 2014	208	2014
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, ... Twenty-Ninth AAAI Conference on Artificial Intelligence, 2015	178	2015
Do no harm: a roadmap for responsible machine learning for health care J Wiens, S Saria, M Sendak, M Ghassemi, VX Liu, F Doshi-Velez, K Jung, ... Nature medicine 25 (9), 1337-1340, 2019	106	2019
Do no harm: a roadmap for responsible machine learning for health care J Wiens, S Saria, M Sendak, M Ghassemi, VX Liu, F Doshi-Velez, K Jung, ... Nature medicine 25 (9), 1337-1340, 2019	106	2019
Do no harm: a roadmap for responsible machine learning for health care J Wiens, S Saria, M Sendak, M Ghassemi, VX Liu, F Doshi-Velez, K Jung, ... Nature medicine 25 (9), 1337-1340, 2019	105	2019
State of the art review: the data revolution in critical care M Ghassemi, LA Celi, DJ Stone Critical Care 19 (1), 1-9, 2015	98	2015
State of the Art Review: The Data Revolution in Critical Care M Ghassemi, LA Celi, JD Stone Annual Update in Intensive Care and Emergency Medicine 2015, 573-586, 2015	98	2015
Continuous state-space models for optimal sepsis treatment: a deep reinforcement learning approach A Raghu, M Komorowski, LA Celi, P Szolovits, M Ghassemi Machine Learning for Healthcare Conference, 147-163, 2017	87	2017
Predicting early psychiatric readmission with natural language processing of narrative discharge summaries A Rumshisky, M Ghassemi, T Naumann, P Szolovits, VM Castro, ... Translational psychiatry 6 (10), e921-e921, 2016	80	2016
Using ambulatory voice monitoring to investigate common voice disorders: Research update DD Mehta, JH Van Stan, M Zañartu, M Ghassemi, JV Guttag, ... Frontiers in bioengineering and biotechnology 3, 155, 2015	78	2015
Clinical Intervention Prediction and Understanding using Deep Networks H Suresh, N Hunt, A Johnson, LA Celi, P Szolovits, M Ghassemi arXiv preprint arXiv:1705.08498, 2017	60	2017
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), e22, 2014	59	2014
A Review of Challenges and Opportunities in Machine Learning for Health M Ghassemi, T Naumann, P Schulam, AL Beam, IY Chen, R Ranganath arXiv preprint arXiv:1806.00388, 2018	57*	2018
Can AI Help Reduce Disparities in General Medical and Mental Health Care? IY Chen, P Szolovits, M Ghassemi AMA Journal of Ethics 21 (2), 167-179, 2019	56	2019
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), e22, 2014	56	2014
Deep Reinforcement Learning for Sepsis Treatment A Raghu, M Komorowski, I Ahmed, L Celi, P Szolovits, M Ghassemi arXiv preprint arXiv:1711.09602, 2017	55	2017
Learning to detect vocal hyperfunction from ambulatory neck-surface acceleration features: Initial results for vocal fold nodules M Ghassemi, JH Van Stan, DD Mehta, M Zañartu, HA Cheyne II, ... IEEE Transactions on Biomedical Engineering 61 (6), 1668-1675, 2014	51	2014
Opportunities in Machine Learning for Healthcare M Ghassemi, T Naumann, P Schulam, AL Beam, R Ranganath arXiv preprint arXiv:1806.00388, 2018	47	2018

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