Dr. Marzyeh Ghassemi
Dr. Marzyeh Ghassemi
Assistant Professor, EECS.CSAIL/IMES, MIT
Verified email at mit.edu - Homepage
Title
Cited by
Cited by
Year
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
6742020
Unfolding Physiological State: Mortality Modelling in Intensive Care Units
M Ghassemi, T Naumann, F Doshi-Velez, N Brimmer, R Joshi, ...
KDD 2014, 2014
2252014
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
1922015
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
1682019
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
1082017
State of the art review: the data revolution in critical care
M Ghassemi, LA Celi, DJ Stone
Critical Care 19 (1), 1-9, 2015
1002015
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
1002015
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
962016
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
922019
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
912015
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
87*2018
Predicting covid-19 pneumonia severity on chest x-ray with deep learning
JP Cohen, L Dao, K Roth, P Morrison, Y Bengio, AF Abbasi, B Shen, ...
Cureus 12 (7), 2020
812020
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
722017
Deep Reinforcement Learning for Sepsis Treatment
A Raghu, M Komorowski, I Ahmed, L Celi, P Szolovits, M Ghassemi
arXiv preprint arXiv:1711.09602, 2017
702017
Challenges to the reproducibility of machine learning models in health care
AL Beam, AK Manrai, M Ghassemi
Jama 323 (4), 305-306, 2020
682020
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
652014
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
632014
Clinically accurate chest x-ray report generation
G Liu, TMH Hsu, M McDermott, W Boag, WH Weng, P Szolovits, ...
Machine Learning for Healthcare Conference, 249-269, 2019
612019
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
602014
Clinical Intervention Prediction and Understanding with Deep Neural Networks
H Suresh, N Hunt, A Johnson, LA Celi, P Szolovits, M Ghassemi
Machine Learning for Healthcare Conference, 322-337, 2017
542017
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