Dr. Marzyeh Ghassemi

Citirano

	Sve	Od 2018.
Citati	6750	6311
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i10-indeks	83	79

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Suautori

Peter SzolovitsProfessor of Computer Science and Engineering, MITPotvrđena adresa e-pošte na mit.edu
Leo Anthony CeliMassachusetts Institute of TechnologyPotvrđena adresa e-pošte na mit.edu
Tristan NaumannPrincipal Researcher, Microsoft Research Health FuturesPotvrđena adresa e-pošte na microsoft.com
Matthew B. A. McDermottPostdoctoral Researcher, Harvard Medical School, Department of Biomedical InformaticsPotvrđena adresa e-pošte na hms.harvard.edu
Karsten RothPhD Student (ELLIS, IMPRS-IS), Explainable Machine Learning Group, University of TuebingenPotvrđena adresa e-pošte na uni-tuebingen.de
Anna GoldenbergScientist, SickKids Research Institute; Assistant Professor Department of Computer Science, University of TorontoPotvrđena adresa e-pošte na utoronto.ca
Irene Y. ChenAssistant Professor, UC Berkeley and UCSFPotvrđena adresa e-pošte na berkeley.edu
Joseph Paul CohenAmazon, AIMI (Stanford University), Mila (Quebec AI Institute)Potvrđena adresa e-pošte na stanford.edu
Haoran ZhangPhD Student, Massachusetts Institute of TechnologyPotvrđena adresa e-pošte na mit.edu
John GuttagPotvrđena adresa e-pošte na mit.edu
Harini SureshPhD Student, Massachusetts Institute of Technology (MIT)Potvrđena adresa e-pošte na mit.edu
Shalmali JoshiColumbia UniversityPotvrđena adresa e-pošte na cumc.columbia.edu
Finale Doshi-VelezProfessor, HarvardPotvrđena adresa e-pošte na seas.harvard.edu
Daryush D. Mehta, PhDDirector of Voice Science and Technology Laboratory, Center for Laryngeal Surgery and VoicePotvrđena adresa e-pošte na alum.mit.edu
Jarrad H Van StanHarvard Medical School, Massachusetts General Hospital, MGH Institute of Health ProfessionsPotvrđena adresa e-pošte na mghihp.edu
Andrew L. BeamAssistant Professor, Harvard UniversityPotvrđena adresa e-pošte na hms.harvard.edu
Rajesh RanganathAssistant Professor, NYUPotvrđena adresa e-pošte na cs.princeton.edu
Mengling 'Mornin' FengNational University of SingaporePotvrđena adresa e-pošte na nus.edu.sg
Bret NestorGraduate Student, University of TorontoPotvrđena adresa e-pošte na cs.toronto.edu
Matías ZañartuDepartment of Electronic Engineering, Universidad Técnica Federico Santa MaríaPotvrđena adresa e-pošte na usm.cl

Prati

Dr. Marzyeh Ghassemi

Assistant Professor, EECS.CSAIL/IMES, MIT

Potvrđena adresa e-pošte na mit.edu - Početna stranica

Healthy ML Clinical Inference Machine Learning


Naslov Poredaj po navodima Poredaj po godini Poredaj po naslovu	Citirano Citirano	Godina
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	618	2020
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	453	2019
The false hope of current approaches to explainable artificial intelligence in health care M Ghassemi, L Oakden-Rayner, AL Beam The Lancet Digital Health 3 (11), e745-e750, 2021	261	2021
Unfolding Physiological State: Mortality Modelling in Intensive Care Units M Ghassemi, T Naumann, F Doshi-Velez, N Brimmer, R Joshi, ... KDD 2014, 2014	258	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	244	2015
A Review of Challenges and Opportunities in Machine Learning for Health M Ghassemi, T Naumann, P Schulam, AL Beam, IY Chen, R Ranganath AMIA Summits on Translational Science Proceedings 191, 2020	226*	2020
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	206	2020
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	202*	2017
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	191	2019
Challenges to the reproducibility of machine learning models in health care AL Beam, AK Manrai, M Ghassemi Jama 323 (4), 305-306, 2020	179	2020
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	170	2017
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	156	2019
Ethical machine learning in healthcare IY Chen, E Pierson, S Rose, S Joshi, K Ferryman, M Ghassemi Annual Review of Biomedical Data Science 4, 123-144, 2021	153	2021
Deep Reinforcement Learning for Sepsis Treatment A Raghu, M Komorowski, I Ahmed, L Celi, P Szolovits, M Ghassemi arXiv preprint arXiv:1711.09602, 2017	148	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	145	2016
CheXclusion: Fairness gaps in deep chest X-ray classifiers L Seyyed-Kalantari, G Liu, M McDermott, IY Chen, M Ghassemi BIOCOMPUTING 2021: Proceedings of the Pacific Symposium, 232-243, 2020	138	2020
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	132	2015
State of the art review: the data revolution in critical care M Ghassemi, LA Celi, DJ Stone Critical Care 19 (1), 1-9, 2015	126	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	126	2015
Do as AI say: susceptibility in deployment of clinical decision-aids S Gaube, H Suresh, M Raue, A Merritt, SJ Berkowitz, E Lermer, ... NPJ digital medicine 4 (1), 31, 2021	123	2021

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