Dr. Marzyeh Ghassemi
Dr. Marzyeh Ghassemi
Assistant Professor, Computer Science/Medicine, University of Toronto & Vector Institute
Verified email at cs.toronto.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
3372020
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
3372020
Unfolding Physiological State: Mortality Modelling in Intensive Care Units
M Ghassemi, T Naumann, F Doshi-Velez, N Brimmer, R Joshi, ...
KDD 2014, 2014
2082014
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
1782015
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
1062019
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
1062019
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
1052019
State of the art review: the data revolution in critical care
M Ghassemi, LA Celi, DJ Stone
Critical Care 19 (1), 1-9, 2015
982015
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
982015
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
872017
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
802016
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
782015
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
602017
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
592014
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
562019
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
562014
Deep Reinforcement Learning for Sepsis Treatment
A Raghu, M Komorowski, I Ahmed, L Celi, P Szolovits, M Ghassemi
arXiv preprint arXiv:1711.09602, 2017
552017
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
512014
Opportunities in Machine Learning for Healthcare
M Ghassemi, T Naumann, P Schulam, AL Beam, R Ranganath
arXiv preprint arXiv:1806.00388, 2018
472018
The system can't perform the operation now. Try again later.
Articles 1–20