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. 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 (Tier Two) in machine learning for health. Provided by Wikipedia
Showing 1 - 20 results of 37 for search 'Ghassemi, Marzyeh', query time: 0.08s Refine Results
  1. 1
    Representation learning in multi-dimensional clinical timeseries for risk and event prediction

    Representation learning in multi-dimensional clinical timeseries for risk and event prediction by Ghassemi, Marzyeh

    Published 2017
    Get full text
    Thesis
  2. 2
    Machine learning and health need better values

    Machine learning and health need better values by Ghassemi, Marzyeh, Mohamed, Shakir

    Published 2022
    Get full text
    Article
  3. 3
    In medicine, how do we machine learn anything real?

    In medicine, how do we machine learn anything real? by Ghassemi, Marzyeh, Nsoesie, Elaine Okanyene

    Published 2022
    Get full text
    Article
  4. 4
    Pulling Up by the Causal Bootstraps: Causal Data Augmentation for Pre-training Debiasing

    Pulling Up by the Causal Bootstraps: Causal Data Augmentation for Pre-training Debiasing by Gowda, Sindhu, Joshi, Shalmali, Zhang, Haoran, Ghassemi, Marzyeh

    Published 2022
    Get full text
    Article
  5. 5
    State of the art review: the data revolution in critical care

    State of the art review: the data revolution in critical care by Ghassemi, Marzyeh, Celi, Leo Anthony G., Stone, David J.

    Published 2016
    Get full text
    Get full text
    Article
  6. 6
    Predicting intervention onset in the ICU with switching state space models.

    Predicting intervention onset in the ICU with switching state space models. by Ghassemi, Marzyeh, Wu, M., Hughes, M., Doshi-Velez, F.

    Published 2020
    Get full text
    Article
  7. 7
    In the Name of Fairness: Assessing the Bias in Clinical Record De-identification

    In the Name of Fairness: Assessing the Bias in Clinical Record De-identification by Xiao, Yuxin, Lim, Shulammite, Pollard, Tom Joseph, Ghassemi, Marzyeh

    Published 2023
    Get full text
    Article
  8. 8
    Mitigating the impact of biased artificial intelligence in emergency decision-making

    Mitigating the impact of biased artificial intelligence in emergency decision-making by Adam, Hammaad, Balagopalan, Aparna, Alsentzer, Emily, Christia, Fotini, Ghassemi, Marzyeh

    Published 2023
    Get full text
    Article
  9. 9
    Ambulatory assessment of phonotraumatic vocal hyperfunction using glottal airflow measures estimated from neck-surface acceleration

    Ambulatory assessment of phonotraumatic vocal hyperfunction using glottal airflow measures estimated from neck-surface acceleration by Cortés, Juan P., Espinoza, Víctor M., Ghassemi, Marzyeh, Mehta, Daryush D., Van Stan, Jarrad H., Hillman, Robert E., Guttag, John V, Zañartu, Matías, Ghassemi, Marzyeh

    Published 2020
    Get full text
    Article
  10. 10
    The PLOS ONE collection on machine learning in health and biomedicine: Towards open code and open data

    The PLOS ONE collection on machine learning in health and biomedicine: Towards open code and open data by Citi, Luca, Ghassemi, Marzyeh, Celi, Leo Anthony G., Pollard, Tom Joseph

    Published 2019
    Get full text
    Get full text
    Article
  11. 11
    The Road to Explainability is Paved with Bias: Measuring the Fairness of Explanations

    The Road to Explainability is Paved with Bias: Measuring the Fairness of Explanations by Balagopalan, Aparna, Zhang, Haoran, Hamidieh, Kimia, Hartvigsen, Thomas, Rudzicz, Frank, Ghassemi, Marzyeh

    Published 2022
    Get full text
    Article
  12. 12
    Get To The Point! Problem-Based Curated Data Views To Augment Care For Critically Ill Patients

    Get To The Point! Problem-Based Curated Data Views To Augment Care For Critically Ill Patients by Zhang, Minfan, Ehrmann, Daniel, Mazwi, Mjaye, Eytan, Danny, Ghassemi, Marzyeh, Chevalier, Fanny

    Published 2022
    Get full text
    Article
  13. 13
    Foundation Models in Healthcare: Opportunities, Risks & Strategies Forward

    Foundation Models in Healthcare: Opportunities, Risks & Strategies Forward by Thieme, Anja, Nori, Aditya, Ghassemi, Marzyeh, Bommasani, Rishi, Andersen, Tariq, Luger, Ewa

    Published 2023
    Get full text
    Article
  14. 14
    Ensuring machine learning for healthcare works for all

    Ensuring machine learning for healthcare works for all by McCoy, Liam G, Banja, John D, Ghassemi, Marzyeh, Celi, Leo Anthony G.

    Published 2020
    Get full text
    Article
  15. 15
    Equity in essence: a call for operationalising fairness in machine learning for healthcare

    Equity in essence: a call for operationalising fairness in machine learning for healthcare by Wawira Gichoya, Judy, McCoy, Liam G, Celi, Leo Anthony G., Ghassemi, Marzyeh

    Published 2021
    Get full text
    Article
  16. 16
    Evaluating the Impact of Social Determinants on Health Prediction in the Intensive Care Unit

    Evaluating the Impact of Social Determinants on Health Prediction in the Intensive Care Unit by Yang, Ming Ying, Kwak, Gloria Hyunjung, Pollard, Tom, Celi, Leo Anthony, Ghassemi, Marzyeh

    Published 2023
    Get full text
    Article
  17. 17
    A comparison of approaches to improve worst-case predictive model performance over patient subpopulations

    A comparison of approaches to improve worst-case predictive model performance over patient subpopulations by Pfohl, Stephen R, Zhang, Haoran, Xu, Yizhe, Foryciarz, Agata, Ghassemi, Marzyeh, Shah, Nigam H

    Published 2022
    Get full text
    Article
  18. 18
    Semi-supervised biomedical translation with cycle Wasserstein regression GaNs

    Semi-supervised biomedical translation with cycle Wasserstein regression GaNs by McDermott, Matthew, Yan, Tom, Naumann, Tristan, Hunt, Nathan, Suresh, Harini S., Szolovits, Peter, Ghassemi, Marzyeh

    Published 2020
    Get full text
    Article
  19. 19
    A comprehensive EHR timeseries pre-training benchmark

    A comprehensive EHR timeseries pre-training benchmark by McDermott, Matthew, Nestor, Bret, Kim, Evan, Zhang, Wancong, Goldenberg, Anna, Szolovits, Peter, Ghassemi, Marzyeh

    Published 2022
    Get full text
    Article
  20. 20
    Judging facts, judging norms: Training machine learning models to judge humans requires a modified approach to labeling data

    Judging facts, judging norms: Training machine learning models to judge humans requires a modified approach to labeling data by Balagopalan, Aparna, Madras, David, Yang, David H., Hadfield-Menell, Dylan, Hadfield, Gillian K., Ghassemi, Marzyeh

    Published 2024
    Get full text
    Article

Search Tools: