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Curriculum vitae

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Refereed Conference Papers

• Clinical Intervention Prediction and Understanding using Deep Networks
  Harini Suresh, Nathan Hunt, Alistair Johnson, Leo Anthony Celi, Peter Szolovits, Marzyeh Ghassemi
  MLHC 2017, Boston, MA. (33% Acceptance Rate)
  Proceedings of the 2nd Machine Learning for Healthcare Conference, 2017
  JMLR Workshop and Conference Track
  Download Preprint

• Continuous State-Space Models for Optimal Sepsis Treatment-a Deep Reinforcement Learning Approach
  Aniruddh Raghu, Matthieu Komorowski, Leo Anthony Celi, Peter Szolovits, Marzyeh Ghassemi
  MLHC 2017, Boston, MA. (33% Acceptance Rate)
  Proceedings of the 2nd Machine Learning for Healthcare Conference, 2017
  JMLR Workshop and Conference Track
  Download Preprint

• Predicting Intervention Onset in the ICU with Switching State Space Models
  Marzyeh Ghassemi*, Mike Wu*, Michael C. Hughes*, Peter Szolovits, and Finale Doshi-Velez
  Proceedings of the AMIA Summit on Clinical Research Informatics (CRI), 2017
  Download Preprint. Nominated for Best Paper.

• Uncovering Voice Misuse Using Symbolic Mismatch
  Marzyeh Ghassemi, Zeeshan Syed, Daryush D. Mehta, Jarrad H. Van Stan, Robert E. Hillman, and John V. Guttag
  MLHC 2016, Los Angeles, CA. (33% Acceptance Rate)
  Proceedings of the 1st Machine Learning for Healthcare Conference, pp. 239–252, 2016
  JMLR Workshop and Conference Track Volume 56
  Featured in MIT News!
  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.

• Unfolding Physiological State: Mortality Modelling in Intensive Care Units
  Marzyeh Ghassemi, Tristan Naumann, Finale Doshi-Velez, Nicole Brimmer, Rohit Joshi, Anna Rumshisky, and Peter Szolovits
  KDD 2014, New York City, NY (15% Acceptance Rate)
  Download Preprint; Download Slides. See the Video.

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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.

• Long-Term Outcomes of Minor Troponin Elevations in the Intensive Care Unit
  Marzyeh Ghassemi*, Adrian Velasquez*, Peter Szolovits, Shinhyuk Park, Juan Osorio, Andre Dejam, and Leo A. Celi
  Anaesthesia and Intensive Care Journal, 2014 May;42(3):356-64.
  Download Pre-print

• 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.

 

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Refereed Workshop Proceedings

• An Open Benchmark for Causal Inference Using the MIMIC-III Dataset
  Leo A. Celi, Ken Jung, Marzyeh Ghassemi, Carlos Guzman, Uri Shalit, David Sontag
  OHDSI Collaborator Showcase in OHDSI Symposium
  Washington DC, September 23 2016
  Download OHDSI Poster; Download OHDSI Abstract

• 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