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Follow this author. PDF Restore Delete Forever. with at least one of the words. Google Scholar; Hrayr Harutyunyan, Hrant Khachatrian, David C Kale, and Aram Galstyan. Irene Y. Chen. Find articles. The following articles are merged in Scholar. Try again later. Article Google Scholar 3. Merged citations. Marzyeh Ghassemi is a PhD student in the Clinical Decision Making Group (MEDG) in MIT’s Computer Science and Artificial Intelligence Lab (CSAIL) supervised by Prof. Peter Szolovits. This "Cited by" count includes citations to the following articles in Scholar. CoRR abs/2007.10185 (2020) 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. This "Cited by" count includes citations to the following articles 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. Follow this author. This "Cited by" count includes citations to the following articles in Scholar. 4. Eng. New articles by this author. Upload PDF. Background: Patient characteristics, clinical care, resource use and outcomes associated with admission to hospital for coronavirus disease 2019 (COVID-19) in Canada are not well described. This "Cited by" count includes citations to the following articles in Scholar. A human-centered evaluation of a deep learning system deployed in clinics for the detection of diabetic retinopathy. ... Google Verified email at google.com. This "Cited by" count includes citations to the following articles in Scholar. PDF Restore Delete Forever. Merged citations. Merged citations. New articles related to this author's research. where my words occur. The following articles are merged in Scholar. Follow this author. 2019. This "Cited by" count includes citations to the following articles in Scholar. Add co-authors Co-authors. Google Scholar; Irene Y Chen, Peter Szolovits, and Marzyeh Ghassemi. Professor Ghassemi currently serves as a NeurIPS 2019 Workshop Co-Chair, and General Chair for the ACM Conference on Health, Inference and … New citations to this … anywhere in the article . Follow this author. A Rumshisky, M Ghassemi, T Naumann, P Szolovits, VM Castro, ... Translational psychiatry 6 (10), e921-e921. This "Cited by" count includes citations to the following articles in Scholar. The following articles are merged in Scholar. 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. Their combined citations are counted only for the first article. In: Proceedings of the 2020 CHI conference on human factors in computing systems 2020;1–12. with all of the words. People. Errol Colak. 61 … Vector Institute CIFAR AI Chair, 661 University Ave, Suite 710, Toronto, ON, M5G 1M1, Canada. The following articles are merged in Scholar. This "Cited by" count includes citations to the following articles in Scholar. In Proceedings of the AMIA Summit on Clinical Research Informatics (CRI), Vol. Upload PDF. … 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. Health; Fairness; Representation Learning; Unsupervised Learning; Latent Variable Models ; Neural Networks; Creating and applying machine … Modern methods for DP … The following articles are merged in Scholar. Her research uses machine learning techniques and statistical modeling to predict and stratify relevant human risks. PDF Restore Delete Forever. Follow this author. View author publications. Their combined citations are counted only for the first article. By continuing to use our website, you consent to the use of cookies as outlined in our Privacy Policy. New citations to this … Their combined citations are counted only for the first article. 2017. Download PDF Abstract: Machine learning models in health care are often deployed in settings where it is important to protect patient privacy. ; Prof. Ghassemi was a finalist for the … CheXclusion: Fairness gaps in deep chest X-ray classifiers. Marzyeh Ghassemi, Jarrad H. Van Stan, Daryush D. Mehta, Matías Zanartu, Harold A. Cheyne II, Robert E. Hillman, John V. Guttag: Learning to Detect Vocal Hyperfunction From Ambulatory Neck-Surface Acceleration Features: Initial Results for Vocal Fold Nodules. Follow this author. Merged citations. The growing data in EHRs makes healthcare ripe for the use of machine learning. Their combined citations are counted only for the first article. AMA journal of ethics 21, 2 (2019), 167--179. Their combined citations are counted only for the first article. Marzyeh Ghassemi; People; Research Projects; Publications; Opportunities in ML4H (Joining/Volunteering) Teaching. Merged citations. Upload PDF. Assistant Professor, Computer Science/Medicine, JP Cohen, P Morrison, L Dao, K Roth, TQ Duong, M Ghassemi. Follow this author. Google Scholar; Marzyeh Ghassemi, Mike Wu, Michael Hughes, and Finale Doshi-Velez. Guanxiong Liu, Tzu-Ming Harry Hsu, Matthew B. Add co-authors Co-authors. Biomed. PDF Restore Delete Forever. PDF Restore Delete Forever. However, learning in a clinical setting presents unique challenges that complicate … Search across a wide variety of disciplines and sources: articles, theses, books, abstracts and court opinions. Article Google Scholar 3. PDF Restore Delete Forever. Their combined citations are counted only for the first article. This "Cited by" count includes citations to the following articles in Scholar. Competence By Design: Physical Medicine & Rehabilitation ; Royal College Training Programs . Authors: Marzyeh Ghassemi, Tristan Naumann, Peter Schulam, Andrew L. Beam, Irene Y. Chen, Rajesh Ranganath. Add co-authors Co-authors. The ones marked * may be different from the article in the profile. New articles by this author. Follow this author. Authors. Merged citations . Awards. The ones marked * may be different from the article in the profile. 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 … Graduate Students PhD. Authors. New citations to this … CoRR abs/1904.02633 ( 2019 ) jupyter notebook walks through how to use the code and shows a successful synthetic run. ... Dr. Marzyeh Ghassemi Assistant Professor, Computer Science/Medicine, University of Toronto & Vector Institute Verified email at cs.toronto.edu. Matthew B. New citations to this … Their combined citations are counted only for the first article. Advanced search. New citations to this … ... Dr. Marzyeh Ghassemi Assistant Professor, Computer Science/Medicine, University of Toronto & Vector Institute Verified email at cs.toronto.edu. Follow this author. A. McDermott, Willie Boag, Wei-Hung Weng, Peter Szolovits, Marzyeh Ghassemi: Clinically Accurate Chest X-Ray Report Generation. The ones marked * may be different from the article in the profile. RNN-SURV: A Deep Recurrent Model for Survival Analysis. Their combined citations are counted only for the first article. New articles by this author. Add co-authors Co-authors. Google Scholar; Irene Y Chen, Peter Szolovits, and Marzyeh Ghassemi. Training Verifications ; Eliot Phillipson Clinician-Educator Training Program ; Eliot Phillipson Clinician-Scientist Training Program The ones marked * may be different from the article in the profile. Google Scholar; E. Giunchiglia, A. Nemchenko, and M. van der Schaar. Google Scholar; Marzyeh Ghassemi, Mike Wu, Michael C. Hughes, Peter Szolovits, and Finale Doshi-Velez. Dr. Marzyeh Ghassemi. 2017. Prior to MIT, she received a B.S. Merged citations. A human-centered evaluation of a deep learning system deployed in clinics for the detection of diabetic retinopathy. Add co-authors Co-authors. Google Scholar provides a simple way to broadly search for scholarly literature. The ones marked * may be different from the article in the profile. PDF Restore Delete Forever. Laleh Seyyed-Kalantari, Guanxiong Liu, Matthew McDermott, Marzyeh Ghassemi Download Preprint. with the exact phrase. American Medical Informatics Association. New 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 … Their combined citations are counted only for the first article. 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. The ones marked * may be different from the article in the profile. New articles by this author. Their combined citations are counted only for the first article. degree in computer science and electrical engineering at New Mexico State University and Master’s degree in biomedical engineering from Oxford University. Predicting Intervention Onset in the ICU with Switching State Space Models. This "Cited by" count includes citations to the following articles in Scholar. Their combined citations are counted only for the first article. PDF Restore Delete Forever. Predicting intervention onset in the ICU with switching state space models. Marzyeh Ghassemi. Merged citations. Upload PDF. New articles by this author. Merged citations. The following articles are merged in Scholar. 2019. The following articles are merged in Scholar. Their combined citations are counted only for the first article. The following articles are merged in Scholar. Their combined citations are counted only for the first article. ‪Assistant Professor, Computer Science/Medicine, University of Toronto & Vector Institute‬ - ‪Cited by 1,523‬ - ‪Artificial Intelligence‬ - ‪Machine Learning‬ - ‪Interprettable Big Data Models‬ - ‪Clinical Inference‬ The following articles are merged in Scholar. IEEE Trans. Add co-authors Co-authors. We use cookies to give you the best user experience possible. The following articles are merged in Scholar. The following articles are merged in Scholar. Add co-authors Co-authors. The following articles are merged in Scholar. A. McDermott, Bret Nestor, Evan Kim, Wancong Zhang, Anna Goldenberg, Peter Szolovits, Marzyeh Ghassemi: A Comprehensive Evaluation of Multi-task Learning and Multi-task Pre-training on EHR Time-series Data. New articles by this author. New citations to this … 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. 2018. 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. Upload PDF. Follow this author. This "Cited by" count includes citations to the following articles in Scholar. 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. Biography Marzyeh Ghassemi received the B.S. Google Scholar; Yiming Cui, Wanxiang Che, Ting Liu, Bing Qin, Ziqing Yang, Shijin Wang, and Guoping Hu. Add co-authors Co-authors. ; Prof. Ghassemi was appointed a Canada CIFAR AI Chair. 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. 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. The following articles are merged in Scholar. Add co-authors Co-authors. She will join MIT's IMES/EECS in July 2021. Upload PDF. The ones marked * may be different from the article in the profile. 2019. Done. New citations to this … Principal Investigator. 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 … ; Prof. Ghassemi was one of MIT Tech Review’s 35 Innovators Under 35.; The ML4H group received a NSERC 2018 Discovery Grant. Can AI Help Reduce Disparities in General Medical and Mental Health Care? Upload PDF. Nagendran M, Chen Y, Lovejoy CA et al (2020) Artificial intelligence versus clinicians: systematic review of design, reporting … In International Conference … 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. New citations to this … Email address for updates. New articles by this author. Their combined citations are counted only for the first article. Download PDF Abstract: Modern electronic health records (EHRs) provide data to answer clinically meaningful questions. Their combined citations are counted only for the first article. 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. While health care is an inherently data-driven field, most clinicians operate with limited evidence guiding their decisions. The ones marked * may be different from the article in the profile. O Badawi, T Brennan, LA Celi, M Feng, M Ghassemi, A Ippolito, ... A Raghu, M Komorowski, I Ahmed, L Celi, P Szolovits, M Ghassemi. PDF Restore Delete Forever. New articles by this author. ... Dr. Marzyeh Ghassemi Assistant Professor, ... M Wu, M Ghassemi, M Feng, LA Celi, P … PDF Restore Delete Forever. New articles by this author. Their combined citations are counted only for the first article. New articles by this author. CAS Article Google Scholar 17. Randomized trials estimate average treatment effects for a trial population, but participants in clinical trials often aren’t representative of the patient population that ultimately receives the treatment with respect to race and gender.1, 2 As a result, drugs and interventions are not tailored to historically mistreated groups; for example, women, minority groups, and obese patients tend to have g… The ones marked * may be different from the article in the profile. without the words. Add co-authors Co-authors. The following articles are merged in Scholar. lecture Unfolding Physiological State: Mortality Modelling in Intensive Care Units as author at Research Sessions, 2974 views The ones marked * may be different from the article in the profile. Can AI Help Reduce Disparities in General Medical and Mental Health Care? Merged citations. This "Cited by" count includes citations to the following articles in Scholar. 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. 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. 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 … Abebe, R., Hill, S. & Schwartz, H. A. Merged citations. Follow this author. Upload PDF. The following articles are merged in Scholar. Add co-authors Co-authors. Merged citations. The following articles are merged in Scholar. Merged citations. This "Cited by" count includes citations to the following articles in Scholar. Can AI Help Reduce Disparities in General Medical and Mental Health Care? Add co-authors Co-authors. Merged citations. degree in biomedical engineering from Oxford University, U.K., as a Marshall Scholar. I like to think about "representation learning" algorithms that learn to … Merged citations. 2019. Beede E, Baylor E, Hersch F, et al. The ones marked * may be different from the article in the profile. The following articles are merged in Scholar. Their combined citations are counted only for the first article. The following articles are merged in Scholar. Follow this author. Their combined citations are counted only for the first article. The ones marked * may be different from the article in the profile. Add co-authors Co-authors. 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. The ones marked * may be different from the article in the profile. New articles by this author. The system can't perform the operation now. In such settings, methods for differentially private (DP) learning provide a general-purpose approach to learn models with privacy guarantees.

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