Assistant Professor, Computer Science/Medicine, JP Cohen, P Morrison, L Dao, K Roth, TQ Duong, M Ghassemi. Irene Y. Chen. with at least one of the words. PDF Restore Delete Forever. … A Rumshisky, M Ghassemi, T Naumann, P Szolovits, VM Castro, ... Translational psychiatry 6 (10), e921-e921. PDF Restore Delete Forever. Prior to MIT, she received a B.S. This "Cited by" count includes citations to the following articles in Scholar. New articles by this author. New articles by this author. Their combined citations are counted only for the first article. Marzyeh Ghassemi; People; Research Projects; Publications; Opportunities in ML4H (Joining/Volunteering) Teaching. 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. The following articles are merged in Scholar. The following articles are merged in Scholar. Their combined citations are counted only for the first article. 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. The following articles are merged in Scholar. The ones marked * may be different from the article in the profile. Authors: Vinith M. Suriyakumar, Nicolas Papernot, Anna Goldenberg, Marzyeh Ghassemi. Add co-authors Co-authors. Their combined citations are counted only for the first article. Predicting Intervention Onset in the ICU with Switching State Space Models. The ones marked * may be different from the article in the profile. Upload PDF. Authors: Marzyeh Ghassemi, Tristan Naumann, Peter Schulam, Andrew L. Beam, Irene Y. Chen, Rajesh Ranganath. Add co-authors Co-authors. 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 … 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 … New articles by this author. O Badawi, T Brennan, LA Celi, M Feng, M Ghassemi, A Ippolito, ... A Raghu, M Komorowski, I Ahmed, L Celi, P Szolovits, M Ghassemi. The ones marked * may be different from the article in the profile. Professor Ghassemi currently serves as a NeurIPS 2019 Workshop Co-Chair, and General Chair for the ACM Conference on Health, Inference and … AMA journal of ethics 21, 2 (2019), 167--179. Follow this author. PDF Restore Delete Forever. CoRR abs/1904.02633 ( 2019 ) Making big data useful for health care: a summary of the inaugural mit critical data conference, Deep Reinforcement Learning for Sepsis Treatment, Learning to detect vocal hyperfunction from ambulatory neck-surface acceleration features: Initial results for vocal fold nodules, Clinical Intervention Prediction and Understanding with Deep Neural Networks, Opportunities in Machine Learning for Healthcare, Challenges to the reproducibility of machine learning models in health care, Understanding vasopressor intervention and weaning: Risk prediction in a public heterogeneous clinical time series database. Google Scholar; Yiming Cui, Wanxiang Che, Ting Liu, Bing Qin, Ziqing Yang, Shijin Wang, and Guoping Hu. Upload PDF. Training Verifications ; Eliot Phillipson Clinician-Educator Training Program ; Eliot Phillipson Clinician-Scientist Training Program ... Google Verified email at google.com. New citations to this … This "Cited by" count includes citations to the following articles in Scholar. Add co-authors Co-authors. Their combined citations are counted only for the first article. We use cookies to give you the best user experience possible. 2019. Google Scholar; Learning without Annotation Supervised learning has worked very well in practice but yet they require exhaustive labelled data, posing a barrier to widespread adoption. In International Conference … The following articles are merged in Scholar. The following articles are merged in Scholar. Add co-authors Co-authors. Their combined citations are counted only for the first article. Marzyeh completed her PhD at MIT where her research focused on machine learning in health care, exploring how to predict immediate and long-term patient needs to inform decisions in the intensive care unit and ambulatory care. Follow this author. New articles by this author. The following articles are merged in Scholar. The following articles are merged in Scholar. A human-centered evaluation of a deep learning system deployed in clinics for the detection of diabetic retinopathy. 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. Advanced search. Can AI Help Reduce Disparities in General Medical and Mental Health Care? Follow this author. Dr. Marzyeh Ghassemi. Nagendran M, Chen Y, Lovejoy CA et al (2020) Artificial intelligence versus clinicians: systematic review of design, reporting … 2017. Eng. This "Cited by" count includes citations to the following articles in Scholar. Modern methods for DP … 2019. Merged citations. This "Cited by" count includes citations to the following articles in Scholar. While health care is an inherently data-driven field, most clinicians operate with limited evidence guiding their decisions. New articles by this author. Merged citations. Methods: We described all adults with COVID-19 or influenza discharged from inpatient medical services and medical–surgical intensive care units (ICUs) between Nov. 1, 2019, and June 30, 2020, at 7 … By continuing to use our website, you consent to the use of cookies as outlined in our Privacy Policy. Follow this author. This "Cited by" count includes citations to the following articles in Scholar. New citations to this … ; Prof. Ghassemi was a finalist for the … This "Cited by" count includes citations to the following articles in Scholar. Her research uses machine learning techniques and statistical modeling to predict and stratify relevant human risks. Vector Institute CIFAR AI Chair, 661 University Ave, Suite 710, Toronto, ON, M5G 1M1, Canada. CAS Article Google Scholar 17. PDF Restore Delete Forever. The following articles are merged in Scholar. ... Dr. Marzyeh Ghassemi Assistant Professor, Computer Science/Medicine, University of Toronto & Vector Institute Verified email at cs.toronto.edu. Biomed. Merged citations. ‪Assistant Professor, Computer Science/Medicine, University of Toronto & Vector Institute‬ - ‪Cited by 1,523‬ - ‪Artificial Intelligence‬ - ‪Machine Learning‬ - ‪Interprettable Big Data Models‬ - ‪Clinical Inference‬ Their, This "Cited by" count includes citations to the following articles in Scholar. Follow this author. Add co-authors Co-authors. Can AI Help Reduce Disparities in General Medical and Mental Health Care? 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. ... Dr. Marzyeh Ghassemi Assistant Professor, Computer Science/Medicine, University of Toronto & Vector Institute Verified email at cs.toronto.edu. In: Proceedings of the 2020 CHI conference on human factors in computing systems 2020;1–12. The following articles are merged in Scholar. … Merged citations. New articles related to this author's research. ... Dr. Marzyeh Ghassemi Assistant Professor, ... M Wu, M Ghassemi, M Feng, LA Celi, P … Beede E, Baylor E, Hersch F, et al. Their combined citations are counted only for the first article. Their combined citations are counted only for the first article. Follow this author. Email address for updates. 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. Awards. Google Scholar; Marzyeh Ghassemi, Mike Wu, Michael C. Hughes, Peter Szolovits, and Finale Doshi-Velez. 2019. The following articles are merged in Scholar. Visiting Researcher, Verily/Google Assistant Professor in Computer Science and Medicine, University of Toronto Faculty Member, Vector Institute Canada CIFAR Artificial Intelligence Chair Website | Google Scholar; Research Interests. Upload PDF. Harini Suresh, Nathan Hunt, Alistair Johnson, Leo Anthony Celi, Peter Szolovits, Marzyeh Ghassemi, Creating and applying machine learning algorithms towards improved prediction and stratification of relevant human risks, Semi-supervised Biomedical Translation with Cycle Wasserstein Regression GANs, Clinical Intervention Prediction and Understanding using Deep Networks. The ones marked * may be different from the article in the profile. New articles by this author. Predicting intervention onset in the ICU with switching state space models. This "Cited by" count includes citations to the following articles in Scholar. 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 ones marked * may be different from the article in the profile. The ones marked * may be different from the article in the profile. Their combined citations are counted only for the first article. Beede E, Baylor E, Hersch F, et al. New articles by this author. IEEE Trans. Merged citations. Article Google Scholar 3. Merged citations. American Medical Informatics Association (AMIA),. Their combined citations are counted only for the first article. 2019. The ones marked * may be different from the article in the profile. Add co-authors Co-authors. New citations to this … Her current research interests include clinical risk prediction with semi-supervised learning, optimal treatment discovery using expert demonstrations, and non-invasive patient phenotyping for behavioral conditions. Merged citations. Biography Marzyeh Ghassemi received the B.S. Authors. Their combined citations are counted only for the first article.

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