Upload PDF. ‪Assistant Professor, Computer Science/Medicine, University of Toronto & Vector Institute‬ - ‪Cited by 1,523‬ - ‪Artificial Intelligence‬ - ‪Machine Learning‬ - ‪Interprettable Big Data Models‬ - ‪Clinical Inference‬ This "Cited by" count includes citations to the following articles in Scholar. Download PDF Abstract: Machine learning models in health care are often deployed in settings where it is important to protect patient privacy. In Proceedings of the AMIA Summit on Clinical Research Informatics (CRI), Vol. Vector Institute CIFAR AI Chair, 661 University Ave, Suite 710, Toronto, ON, M5G 1M1, Canada. Email address for updates. Their combined citations are counted only for the first article. Merged citations. New articles by this author. PDF Restore Delete Forever. Follow this author. The ones marked * may be different from the article in the profile. Dr. Marzyeh Ghassemi is an Assistant Professor at the University of Toronto in Computer Science and Medicine, and a Vector Institute faculty member holding a Canadian CIFAR AI Chair and Canada Research Chair. The ones marked * may be different from the article in the profile. … Aparna Balagopalan, Fall 2020 (co-supervised by Frank Rudzik) Sicong Huang, Fall 2020 (co-supervised by Frank Rudzik) Kimia Hamideh, Fall 2020 (co-supervised with Quaid Morris) Sindhu … Their combined citations are counted only for the first article. ... Google Verified email at google.com. Dr. Marzyeh Ghassemi. The ones marked * may be different from the article in the profile. 2019. Add co-authors Co-authors. Their combined citations are counted only for the first article. New articles by this author. The following articles are merged in Scholar. The ones marked * may be different from the article in the profile. Beede E, Baylor E, Hersch F, et al. M Ghassemi, JH Van Stan, DD Mehta, M Zañartu, HA Cheyne II, ... IEEE Transactions on Biomedical Engineering 61 (6), 1668-1675, Machine Learning for Healthcare Conference, 322-337, M Ghassemi, T Naumann, P Schulam, AL Beam, R Ranganath, M Ghassemi, M Wu, M Feng, LA Celi, P Szolovits, F Doshi-Velez, Journal of the American Medical Informatics Association, ocw138, New articles related to this author's research, Professor of Computer Science and Engineering, MIT, Senior Researcher, Microsoft Research Healthcare NExT, PhD Student, Massachusetts Institute of Technology, Director of Voice Science and Technology Laboratory, Center for Laryngeal Surgery and Voice, Harvard Medical School and Massachusetts General Hospital, Scientist, SickKids Research Institute; Assistant Professor Department of Computer Science, University of Toronto, Department of Electronic Engineering, Universidad Técnica Federico Santa María, Master Student, Computer Vision Group, Heidelberg University, Postdoctoral Fellow, AIMI (Stanford University) + Mila (Quebec AI Institute), Post-doctoral Research Engineer, Laboratory of Computational Physiology, Massachusetts Institute of Technology, COVID-19 Image Data Collection: Prospective Predictions Are the Future, Unfolding Physiological State: Mortality Modelling in Intensive Care Units, A multivariate timeseries modeling approach to severity of illness assessment and forecasting in icu with sparse, heterogeneous clinical data, Do no harm: a roadmap for responsible machine learning for health care, State of the art review: the data revolution in critical care, State of the Art Review: The Data Revolution in Critical Care, Continuous state-space models for optimal sepsis treatment: a deep reinforcement learning approach, Predicting early psychiatric readmission with natural language processing of narrative discharge summaries, Using ambulatory voice monitoring to investigate common voice disorders: Research update, A Review of Challenges and Opportunities in Machine Learning for Health, Clinical Intervention Prediction and Understanding using Deep Networks. New articles by this author. Google Scholar; Hrayr Harutyunyan, Hrant Khachatrian, David C Kale, and Aram Galstyan. PDF Restore Delete Forever. CoRR abs/1904.02633 ( 2019 ) The following articles are merged in Scholar. The following articles are merged in Scholar. PDF Restore Delete Forever. The ones marked * may be different from the article in the profile. Article Google Scholar 3. Marzyeh Ghassemi is a Canada-based researcher in the field of computational medicine, where her research focuses on developing machine-learning algorithms to inform health-care decisions. Application Eligibility ; POWER ; Policies & Guidelines She is currently an assistant professor at the University of Toronto's Department of Computer Science and Faculty of Medicine, and is a Canada CIFAR Artificial Intelligence (AI) chair and Canada Research Chair … This "Cited by" count includes citations to the following articles in Scholar. with all of the words. This "Cited by" count includes citations to the following articles in Scholar. Upload PDF. 2017. The ones marked * may be different from the article in the profile. People. The following articles are merged in Scholar. New citations to this … Prof. Ghassemi was named a CIFAR Azrieli Global Scholar for 2020-2022.; Prof. Ghassemi was recently awarded a Canada Research Chair in Machine Learning for Health. Their combined citations are counted only for the first article. Their combined citations are counted only for the first article. Follow this author. New articles by this author. This "Cited by" count includes citations to the following articles in Scholar. New articles by this author. Add co-authors Co-authors. IEEE Trans. Upload PDF. ; Prof. Ghassemi was a finalist for the … Add co-authors Co-authors. Merged citations. The following articles are merged in Scholar. New articles by this author. New citations to this … The following articles are merged in Scholar. This "Cited by" count includes citations to the following articles in Scholar. Ghassemi M, 0000-0001-6349-7251; Gaube S, 0000-0002-1633-4772, University of Regensburg; Colak E, 0000-0002-3771-7975; Lermer E, 0000-0002-6600-9580, FOM University of Applied Sciences for Economics and Management; Raue M, 0000-0002-7443-1829, Massachusetts Institute of Technology; Suresh H, 0000-0002-9769-4947; NPJ Digital Medicine, 19 Feb 2021, 4(1): 31 DOI: 10.1038/s41746-021 … She will join MIT's IMES/EECS in July 2021. This "Cited by" count includes citations to the following articles in Scholar. This "Cited by" count includes citations to the following articles in Scholar. The ones marked * may be different from the article in the profile. CoRR abs/2007.10185 (2020) Merged citations. New citations to this … Their combined citations are counted only for the first article. The ones marked. Their, This "Cited by" count includes citations to the following articles in Scholar. without the words. Laleh Seyyed-Kalantari, Guanxiong Liu, Matthew McDermott, Marzyeh Ghassemi Download Preprint. Their combined citations are counted only for the first article. This "Cited by" count includes citations to the following articles in Scholar. Matthew B. DD Mehta, JH Van Stan, M Zañartu, M Ghassemi, JV Guttag, ... Frontiers in bioengineering and biotechnology 3, 155, M Ghassemi, T Naumann, P Schulam, AL Beam, IY Chen, R Ranganath, H Suresh, N Hunt, A Johnson, LA Celi, P Szolovits, M Ghassemi. New articles by this author. The following articles are merged in Scholar. My research works towards a holy grail of unsupervised learning that can either learn without annotation completely or with noisy and easy to obtain labels. Add co-authors Co-authors. ; Prof. Ghassemi was appointed a Canada CIFAR AI Chair. Try again later. ... Dr. Marzyeh Ghassemi Assistant Professor, ... M Wu, M Ghassemi, M Feng, LA Celi, P … Article Google Scholar 3. Follow this author. Merged citations. M Ghassemi, T Naumann, F Doshi-Velez, N Brimmer, R Joshi, ... M Ghassemi, MAF Pimentel, T Naumann, T Brennan, DA Clifton, ... Twenty-Ninth AAAI Conference on Artificial Intelligence. The growing data in EHRs makes healthcare ripe for the use of machine learning. PDF Restore Delete Forever. Errol Colak. Add co-authors Co-authors. New articles by this author. Google Scholar; Irene Y Chen, Peter Szolovits, and Marzyeh Ghassemi. New citations … New articles related to this author's research. View author publications. Follow this author. Authors. Add co-authors Co-authors. The following articles are merged in Scholar. CheXclusion: Fairness gaps in deep chest X-ray classifiers. The ones marked * may be different from the article in the profile. Add co-authors Co-authors. This "Cited by" count includes citations to the following articles in Scholar. In International Conference … AMA journal of ethics 21, 2 (2019), 167--179. Irene Y. Chen. The ones marked * may be different from the article in the profile. Add co-authors Co-authors. Merged citations . Add co-authors Co-authors. New citations to this … Predicting intervention onset in the ICU with switching state space models. Nagendran M, Chen Y, Lovejoy CA et al (2020) Artificial intelligence versus clinicians: systematic review of design, reporting … PDF Restore Delete Forever. Download PDF Abstract: Modern electronic health records (EHRs) provide data to answer clinically meaningful questions. Follow this author. PDF Restore Delete Forever. Google Scholar; Marzyeh Ghassemi, Mike Wu, Michael C. Hughes, Peter Szolovits, and Finale Doshi-Velez. Merged citations. anywhere in the article . Add co-authors Co-authors. Annual Update in Intensive Care and Emergency Medicine 2015, 573-586, A Raghu, M Komorowski, LA Celi, P Szolovits, M Ghassemi, Machine Learning for Healthcare Conference, 147-163. Marzyeh is on the Board of Women in Machine Learning (WiML), and co-organized the NIPS 2016/2017 Workshop on Machine Learning for Health, and MIT’s first Hacking Discrimination event. Merged citations. Awards. Merged citations. PDF Restore Delete Forever. Their combined citations are counted only for the first article. Their combined citations are counted only for the first article. ... Marzyeh Ghassemi. lecture Unfolding Physiological State: Mortality Modelling in Intensive Care Units as author at Research Sessions, 2974 views Add co-authors Co-authors. Eng. A Rumshisky, M Ghassemi, T Naumann, P Szolovits, VM Castro, ... Translational psychiatry 6 (10), e921-e921. Professor Ghassemi currently serves as a NeurIPS 2019 Workshop Co-Chair, and General Chair for the ACM Conference on Health, Inference and … 4. Their combined citations are counted only for the first article. degree in computer science and electrical engineering with a minor in applied mathematics from New Mexico State University, Las Cruces, USA, in 2005 as a Goldwater Scholar, and the M.Sc. Advanced search. New articles by this author. Merged citations. Their combined citations are counted only for the first article. New citations to this … New articles by this author. The following articles are merged in Scholar. New articles by this author. I like to think about "representation learning" algorithms that learn to … The following articles are merged in Scholar. Their combined citations are counted only for the first article. The following articles are merged in Scholar. 2019. Merged citations. New citations to this … 2019. The ones marked * may be different from the article in the profile. Their combined citations are counted only for the first article. Done. New citations to this … While health care is an inherently data-driven field, most clinicians operate with limited evidence guiding their decisions. Nominated for 2017 Best Student Paper at AMIA Summit on Clinical Research Informatics (CRI) for “Predicting Intervention Onset in the ICU with Switching State Space Models”, First Place at 2014 MIT $100K Accelerate $10,000 Daniel M. Lewin Accelerate Prize, Kohana Student Team, First Place at 2013 MIT Sloan-ILP Innovators Showcase, Sana AudioPulse Student Team, Guest Editor for PLoS ONE call on Machine Learning in Health and Biomedicine, http://blogs.plos.org/everyone/2018/03/09/call-for-papers-ml4health/, Speaker at IACS SYMPOSIUM ON THE FUTURE OF COMPUTATION IN SCIENCE AND ENGINEERING “The Digital Doctor: Health Care in an Age of AI and Big Data” –, https://www.youtube.com/watch?v=XKE8UY4_lWw, Panelist at AMIA 2018 Informatics Summit Panel on “Deep Learning for Healthcare – Hype or the Real Thing?”, https://www.amia.org/2018-Informatics-Summit/panels, Matthew McDermott, Tom Yan, Tristan Naumann, Nathan Hunt, Harini Suresh, Peter Szolovits, and Marzyeh Ghassemi.

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