Beede E, Baylor E, Hersch F, et al. Upload PDF. Article Google Scholar 3. New citations to this … 2019. The following articles are merged in Scholar. New citations to this … Merged citations. The ones marked * may be different from the article in the profile. The following articles are merged in Scholar. Health; Fairness; Representation Learning; Unsupervised Learning; Latent Variable Models ; Neural Networks; Creating and applying machine … Biography Marzyeh Ghassemi received the B.S. Authors: Vinith M. Suriyakumar, Nicolas Papernot, Anna Goldenberg, Marzyeh Ghassemi. Principal Investigator. Follow this author. 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. 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. Professor Ghassemi currently serves as a NeurIPS 2019 Workshop Co-Chair, and General Chair for the ACM Conference on Health, Inference and … Merged citations. ... Marzyeh Ghassemi. Upload PDF. CheXclusion: Fairness gaps in deep chest X-ray classifiers. Add co-authors Co-authors. Add co-authors Co-authors. Add co-authors Co-authors. Follow this author. This "Cited by" count includes citations to the following articles in Scholar. CoRR abs/2007.10185 (2020) The ones marked. Authors. 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. This "Cited by" count includes citations to the following articles in Scholar. AMA journal of ethics 21, 2 (2019), 167--179. The following articles are merged in Scholar. Their, This "Cited by" count includes citations to the following articles in Scholar. This "Cited by" count includes citations to the following articles in Scholar. 2017. Merged citations. 2019. Add co-authors Co-authors. Merged citations. Their combined citations are counted only for the first article. New citations to this … The following articles are merged in Scholar. Merged citations. The ones marked * may be different from the article in the profile. without the words. 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… Can AI Help Reduce Disparities in General Medical and Mental Health Care? AMA journal of ethics 21, 2 (2019), 167--179. The following articles are merged in Scholar. The following articles are merged in Scholar. New citations to this … People. Download PDF Abstract: Modern electronic health records (EHRs) provide data to answer clinically meaningful questions. The ones marked * may be different from the article in the profile. The following articles are merged in Scholar. Add co-authors Co-authors. 2018. Find articles. PDF Restore Delete Forever. However, learning in a clinical setting presents unique challenges that complicate … 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. Application Eligibility ; POWER ; Policies & Guidelines Merged citations. Merged citations. Add co-authors Co-authors. This "Cited by" count includes citations to the following articles in Scholar. Add co-authors Co-authors. New citations … Using search queries to ... Marzyeh Ghassemi. 2019. Add co-authors Co-authors. Dr. Marzyeh Ghassemi. New citations to this … with the exact phrase. New articles by this author. 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. My profile My library Metrics Alerts. The ones marked * may be different from the article in the profile. PDF Restore Delete Forever. Follow this author. Their combined citations are counted only for the first article. PDF Restore Delete Forever. Upload PDF. New citations to this … Prior to MIT, she received a B.S. This "Cited by" count includes citations to the following articles in Scholar. Google Scholar; Hrayr Harutyunyan, Hrant Khachatrian, David C Kale, and Aram Galstyan. PDF Restore Delete Forever. ... Dr. Marzyeh Ghassemi Assistant Professor, ... M Wu, M Ghassemi, M Feng, LA Celi, P … 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. Add co-authors Co-authors. Google Scholar provides a simple way to broadly search for scholarly literature. This "Cited by" count includes citations to the following articles in Scholar. Follow this author. 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. New articles by this author. The following articles are merged in Scholar. New citations to this … The ones marked * may be different from the article in the profile. Authors. New articles by this author. The ones marked * may be different from the article in the profile. Their combined citations are counted only for the first article. degree in biomedical engineering from Oxford University, U.K., as a Marshall Scholar. 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. We use cookies to give you the best user experience possible. 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. Upload PDF. This "Cited by" count includes citations to the following articles in Scholar. The following articles are merged 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. New articles by this author. jupyter notebook walks through how to use the code and shows a successful synthetic run. Their combined citations are counted only for the first article. In International Conference … New citations to this author . The following articles are merged in Scholar. Google Scholar; Marzyeh Ghassemi, Mike Wu, Michael C. Hughes, Peter Szolovits, and Finale Doshi-Velez. IEEE Trans. The ones marked * may be different from the article in the profile. 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. Search across a wide variety of disciplines and sources: articles, theses, books, abstracts and court opinions. 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 … The ones marked * may be different from the article in the profile. 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. Beede E, Baylor E, Hersch F, et al. This "Cited by" count includes citations to the following articles in Scholar. 2017. Google Scholar; Irene Y Chen, Peter Szolovits, and Marzyeh Ghassemi. Article Google Scholar 3. Add co-authors Co-authors. Upload PDF. Their combined citations are counted only for the first article. Merged citations. New articles related to this author's research. Merged citations. Follow this author. lecture Unfolding Physiological State: Mortality Modelling in Intensive Care Units as author at Research Sessions, 2974 views Follow this author. Google Scholar; E. Giunchiglia, A. Nemchenko, and M. van der Schaar. New citations to this … 2019. This "Cited by" count includes citations to the following articles in Scholar. New citations to this … The ones marked * may be different from the article in the profile. The ones marked * may be different from the article in the profile. This "Cited by" count includes citations to the following articles in Scholar. The following articles are merged in Scholar. The ones marked * may be different from the article in the profile. 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. Their combined citations are counted only for the first article. Marzyeh Ghassemi; People; Research Projects; Publications; Opportunities in ML4H (Joining/Volunteering) Teaching. 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. anywhere in the article . In such settings, methods for differentially private (DP) learning provide a general-purpose approach to learn models with privacy guarantees. Errol Colak. Done. Google Scholar; Irene Y Chen, Peter Szolovits, and Marzyeh Ghassemi. Merged citations. where my words occur. PDF Restore Delete Forever. American Medical Informatics Association. The following articles are merged in Scholar. PDF Restore Delete Forever. In Proceedings of the AMIA Summit on Clinical Research Informatics (CRI), Vol. PDF Restore Delete Forever. RNN-SURV: A Deep Recurrent Model for Survival Analysis. with all of the words. ... Google Verified email at google.com. I like to think about "representation learning" algorithms that learn to … The following articles are merged in Scholar. Merged citations. Laleh Seyyed-Kalantari, Guanxiong Liu, Matthew McDermott, Marzyeh Ghassemi Download Preprint. Marzyeh Ghassemi. 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. This "Cited by" count includes citations to the following articles in Scholar. New articles by this author. The following articles are merged 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 … American Medical Informatics Association (AMIA),. Their combined citations are counted only for the first article. New articles by this author. New articles by this author. Upload PDF. Can AI Help Reduce Disparities in General Medical and Mental Health Care? … Modern methods for DP … This "Cited by" count includes citations to the following articles in Scholar. CoRR abs/1904.02633 ( 2019 ) The ones marked * may be different from the article in the profile. ... Dr. Marzyeh Ghassemi Assistant Professor, Computer Science/Medicine, University of Toronto & Vector Institute Verified email at cs.toronto.edu. Biomed. Upload PDF. The ones marked * may be different from the article in the profile. Add co-authors Co-authors. 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. ‪Assistant Professor, Computer Science/Medicine, University of Toronto & Vector Institute‬ - ‪Cited by 1,523‬ - ‪Artificial Intelligence‬ - ‪Machine Learning‬ - ‪Interprettable Big Data Models‬ - ‪Clinical Inference‬ New articles by this author. 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. Merged citations. Follow this author. New articles by this author. A Rumshisky, M Ghassemi, T Naumann, P Szolovits, VM Castro, ... Translational psychiatry 6 (10), e921-e921. Add co-authors Co-authors. The following articles are merged in Scholar. Add co-authors Co-authors. with at least one of the words. Eng. This "Cited by" count includes citations to the following articles in Scholar. Irene Y. Chen. ... Dr. Marzyeh Ghassemi Assistant Professor, Computer Science/Medicine, University of Toronto & Vector Institute Verified email at cs.toronto.edu. 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. Can AI Help Reduce Disparities in General Medical and Mental Health Care? PDF Restore Delete Forever.
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