Research - Papers, Talks & Proceedings


Curriculum vitae


Refereed Conference Papers

  • Predicting Intervention Onset in the ICU with Switching State Space Models
    Marzyeh Ghassemi*, Mike Wu*, Michael C. Hughes*, Peter Szolovits, and Finale Doshi-Velez
    To appear in Proceedings of the AMIA Summit on Clinical Research Informatics (CRI), 2017
    Download Preprint.
  • Prediction Using Patient Comparison vs. Modeling: A Case Study for Mortality Prediction
    Mark Hoogendoorn, Ali el Hassouni, Kwongyen Mok, Marzyeh Ghassemi, Peter Szolovits
    EMBC 2016, Orlando, FL
    Download Preprint.
  • A Multivariate Timeseries Modeling Approach to Severity of Illness Assessment
    and Forecasting in ICU with Sparse, Heterogeneous Clinical Data
    Marzyeh Ghassemi*, Marco A.F. Pimentel*, Tristan Naumann, Thomas Brennan, David A. Clifton, Peter Szolovits, Mengling Feng
    AAAI 2015, Austin, TX (27% Acceptance Rate)
    Download Preprint.

Journal Papers

  • Predicting early psychiatric readmission with natural language processing of narrative discharge summaries
    Anna Rumshisky, Marzyeh Ghassemi, Tristan Naumann, Peter Szolovits, Victor Castro, Thomas McCoy and Roy Perlis
    Translational Psychiatry (2016) 6, e921; doi:10.1038
    View Online; Download Preprint.
  • Understanding vasopressor intervention and weaning: Risk prediction in a public heterogeneous clinical time series database
    Marzyeh Ghassemi*, Mike Wu*, Mengling Feng, Leo A. Celi, Peter Szolovits, Finale Doshi-Velez
    Journal of the American Medical Informatics Association (JAMIA) 2016
    View Online; Download Preprint.
  • Using ambulatory voice monitoring to investigate common voice disorders: Research update
    Daryush Mehta, Jarrad H. Van Stan, Matias Zañartu, Marzyeh Ghassemi, et al.
    Frontiers in Bioengineering and Biotechnology, in press, 2015.
    View Open Access. Download Preprint.
  • State of the art review: the data revolution in critical care 
    Marzyeh Ghassemi, Leo Anthony Celi and David J Stone
    Critical Care 2015, vol 19, no. 118.
    View Open Access. Download PDF.
  • Short-Term Mortality Prediction for Elderly Patients Using Medicare Claims Data
    Maggie Makar, Marzyeh Ghassemi, David M. Cutler, and Ziad Obermeyer
    International Journal of Machine Learning and Computing vol. 5, no. 3, pp. 192-197, 2015.
    Download Preprint.
  • Making Big Data Useful for Health Care: A Summary of the Inaugural MIT Critical Data Conference
    Marzyeh Ghassemi**, et al.
    ** All authors were members of the MIT Critical Data Conference 2014 Organizing Committee, and names were listed alphabetically.
    JMIR Med Inform 2014;2(2):e22; PMID 25600172; PMCID PMC4288071
    Download Preprint.
  • Learning to detect vocal hyperfunction from ambulatory necksurface acceleration features: Initial results for vocal fold nodules
    Marzyeh Ghassemi, Jarrad H. Van Stan, Daryush D. Mehta, Matías Zañartu, Harold A. Cheyne II, Robert E. Hillman, and John V. Guttag
    IEEE Transactions on Biomedical Engineering Volume 61, Issue 6, Page: 1668–1675 as TBME.2013.2297372
    Selected for a TBME Spotlight; Cited 10 times in the following year.
    Download Preprint.

  • Leveraging a critical care database: SSRI use prior to icu admission is associated with increased hospital mortality
    Marzyeh Ghassemi, John Marshall, Nakul Singh, David J. Stone, Leo A. Celi
    CHEST Journal as Chest. 2013/chest.13-1722.
    Download Preprint.

 


Refereed Workshop Proceedings

  • Confirming the themes and interpretive unity of Ghazal poetry using topic models
    Ehsaneddin Asgari, Marzyeh Ghassemi and Mark Finlayson
    NIPS 2013 Workshop on Topic Models: Computation, Application, and Evaluation
    Download NIPS 2013 Workshop Paper
  • Detecting Voice Modes for Vocal Hyperfunction Prevention
    Marzyeh Ghassemi, Eugene Shih, Daryush Mehta, Shengran Feng, Jarrad Van Stan, Robert Hillman, John Guttag
    WiML/NIPS 2012 Workshop
    Download NIPS 2012 Poster
  • Topic Models for Mortality Modeling in Intensive Care Units
    Marzyeh Ghassemi, Tristan Naumann, Rohit Joshi, Anna Rumshisky
    ICML 2012 Machine Learning for Clinical Data Analysis Workshop
    Download ICML 2012 Workshop Paper

 


Theses & Book Chapters

  • Data Analysis.
    Jesse D. Raffa, Marzyeh Ghassemi, Tristan Naumann, Mengling Feng, and Douglas Hsu. "Data Analysis." In Secondary Analysis of Electronic Health Records, pp. 205-261. Springer International Publishing, 2016.
    Download PDF or View Chapter
  • State of the Art Review: The Data Revolution in Critical Care
    Marzyeh Ghassemi, David J. Stone, Leo A. Celi
    Annual Update in Intensive Care and Emergency Medicine 2015. Springer International Publishing, 2015. 573-586
    Download Preprint
  • Methods and Models for Acute Hypotensive Episode Prediction
    Marzyeh Ghassemi
    Oxford University MSc Thesis
    Download MSc Thesis

 


Invited Talks & Presentations

  • AMIA Ignite, Chicago, IL
    Nov. 15, 2016
    Ignite Talk on "How Machine Learning Can Change Health"
  • NLM/NIH Informatics Training Conference, Rockville, MD
    June 23-24, 2015
    Open Mic session on "Severity of Illness Assessment and Forecasting in ICU with Sparse, Heterogeneous Clinical Data".

 


Student Competitions

  • Probabilistically Populated Medical Record Templates:  Reducing Clinical Documentation Time Using Patient Cooperation
    Tristan Naumann, Marzyeh Ghassemi, Andreea Bodnari, Rohit Joshi
    Third Place Prize Winners
    AMIA 2013 Student Design Challenge: Reinventing Clinical Documentation
    Download Proposal

(*) These authors contributed equally, and should be considered co-first authors.