Harvard Catalyst Profiles

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Marzyeh Ghassemi, Ph.D.

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Publications listed below are automatically derived from MEDLINE/PubMed and other sources, which might result in incorrect or missing publications. Faculty can login to make corrections and additions.
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PMC Citations indicate the number of times the publication was cited by articles in PubMed Central, and the Altmetric score represents citations in news articles and social media. (Note that publications are often cited in additional ways that are not shown here.) Fields are based on how the National Library of Medicine (NLM) classifies the publication's journal and might not represent the specific topic of the publication. Translation tags are based on the publication type and the MeSH terms NLM assigns to the publication. Some publications (especially newer ones and publications not in PubMed) might not yet be assigned Field or Translation tags.) Click a Field or Translation tag to filter the publications.
  1. Weissler EH, Naumann T, Andersson T, Ranganath R, Elemento O, Luo Y, Freitag DF, Benoit J, Hughes MC, Khan F, Slater P, Shameer K, Roe M, Hutchison E, Kollins SH, Broedl U, Meng Z, Wong JL, Curtis L, Huang E, Ghassemi M. Correction to: The role of machine learning in clinical research: transforming the future of evidence generation. Trials. 2021 Sep 06; 22(1):593. PMID: 34488840.
    Citations:    Fields:    
  2. Cohen JP, Cao T, Viviano JD, Huang CW, Fralick M, Ghassemi M, Mamdani M, Greiner R, Bengio Y. Problems in the deployment of machine-learned models in health care. CMAJ. 2021 09 07; 193(35):E1391-E1394. PMID: 34462316.
    Citations: 1     Fields:    Translation:Humans
  3. Weissler EH, Naumann T, Andersson T, Ranganath R, Elemento O, Luo Y, Freitag DF, Benoit J, Hughes MC, Khan F, Slater P, Shameer K, Roe M, Hutchison E, Kollins SH, Broedl U, Meng Z, Wong JL, Curtis L, Huang E, Ghassemi M. The role of machine learning in clinical research: transforming the future of evidence generation. Trials. 2021 Aug 16; 22(1):537. PMID: 34399832.
    Citations: 1     Fields:    Translation:Humans
  4. Chen IY, Joshi S, Ghassemi M, Ranganath R. Probabilistic Machine Learning for Healthcare. Annu Rev Biomed Data Sci. 2021 07 20; 4:393-415. PMID: 34465179.
    Citations:    
  5. Chen IY, Pierson E, Rose S, Joshi S, Ferryman K, Ghassemi M. Ethical Machine Learning in Healthcare. Annu Rev Biomed Data Sci. 2021 07; 4:123-144. PMID: 34396058.
    Citations: 2     
  6. Wawira Gichoya J, McCoy LG, Celi LA, Ghassemi M. Equity in essence: a call for operationalising fairness in machine learning for healthcare. BMJ Health Care Inform. 2021 04; 28(1). PMID: 33910923.
    Citations:    Fields:    
  7. McDermott MBA, Wang S, Marinsek N, Ranganath R, Foschini L, Ghassemi M. Reproducibility in machine learning for health research: Still a ways to go. Sci Transl Med. 2021 03 24; 13(586). PMID: 33762434.
    Citations: 3     Fields:    
  8. Kohane IS, Aronow BJ, Avillach P, Beaulieu-Jones BK, Bellazzi R, Bradford RL, Brat GA, Cannataro M, Cimino JJ, García-Barrio N, Gehlenborg N, Ghassemi M, Gutiérrez-Sacristán A, Hanauer DA, Holmes JH, Hong C, Klann JG, Loh NHW, Luo Y, Mandl KD, Daniar M, Moore JH, Murphy SN, Neuraz A, Ngiam KY, Omenn GS, Palmer N, Patel LP, Pedrera-Jiménez M, Sliz P, South AM, Tan ALM, Taylor DM, Taylor BW, Torti C, Vallejos AK, Wagholikar KB, Weber GM, Cai T. What Every Reader Should Know About Studies Using Electronic Health Record Data but May Be Afraid to Ask. J Med Internet Res. 2021 03 02; 23(3):e22219. PMID: 33600347.
    Citations: 1     Fields:    Translation:Humans
  9. Gaube S, Suresh H, Raue M, Merritt A, Berkowitz SJ, Lermer E, Coughlin JF, Guttag JV, Colak E, Ghassemi M. Do as AI say: susceptibility in deployment of clinical decision-aids. NPJ Digit Med. 2021 Feb 19; 4(1):31. PMID: 33608629.
    Citations: 3     
  10. Verma AA, Hora T, Jung HY, Fralick M, Malecki SL, Lapointe-Shaw L, Weinerman A, Tang T, Kwan JL, Liu JJ, Rawal S, Chan TCY, Cheung AM, Rosella LC, Ghassemi M, Herridge M, Mamdani M, Razak F. Characteristics and outcomes of hospital admissions for COVID-19 and influenza in the Toronto area. CMAJ. 2021 03 22; 193(12):E410-E418. PMID: 33568436.
    Citations: 5     Fields:    Translation:Humans
  11. McCoy LG, Banja JD, Ghassemi M, Celi LA. Ensuring machine learning for healthcare works for all. BMJ Health Care Inform. 2020 Nov; 27(3). PMID: 33234535.
    Citations: 1     Fields:    
  12. Ghassemi M, Naumann T, Schulam P, Beam AL, Chen IY, Ranganath R. A Review of Challenges and Opportunities in Machine Learning for Health. AMIA Jt Summits Transl Sci Proc. 2020; 2020:191-200. PMID: 32477638.
    Citations: 6     
  13. Beam AL, Manrai AK, Ghassemi M. Challenges to the Reproducibility of Machine Learning Models in Health Care. JAMA. 2020 01 28; 323(4):305-306. PMID: 31904799.
    Citations: 25     Fields:    Translation:Humans
  14. Chen IY, Joshi S, Ghassemi M. Treating health disparities with artificial intelligence. Nat Med. 2020 01; 26(1):16-17. PMID: 31932779.
    Citations: 17     Fields:    Translation:Humans
  15. Wiens J, Saria S, Sendak M, Ghassemi M, Liu VX, Doshi-Velez F, Jung K, Heller K, Kale D, Saeed M, Ossorio PN, Thadaney-Israni S, Goldenberg A. Author Correction: Do no harm: a roadmap for responsible machine learning for health care. Nat Med. 2019 Oct; 25(10):1627. PMID: 31537911.
    Citations: 1     Fields:    
  16. Pollard TJ, Chen I, Wiens J, Horng S, Wong D, Ghassemi M, Mattie H, Lindemer E, Panch T. Turning the crank for machine learning: ease, at what expense? Lancet Digit Health. 2019 09; 1(5):e198-e199. PMID: 33323266.
    Citations: 1     Translation:Humans
  17. Wiens J, Saria S, Sendak M, Ghassemi M, Liu VX, Doshi-Velez F, Jung K, Heller K, Kale D, Saeed M, Ossorio PN, Thadaney-Israni S, Goldenberg A. Do no harm: a roadmap for responsible machine learning for health care. Nat Med. 2019 09; 25(9):1337-1340. PMID: 31427808.
    Citations: 62     Fields:    Translation:Humans
  18. Ghassemi M, Naumann T, Schulam P, Beam AL, Chen IY, Ranganath R. Practical guidance on artificial intelligence for health-care data. Lancet Digit Health. 2019 08; 1(4):e157-e159. PMID: 33323184.
    Citations: 10     Translation:Humans
  19. Ortiz JJG, Mehta D, Stan JV, Hillman R, Guttag JV, Ghassemi M. Learning from Few Subjects with Large Amounts of Voice Monitoring Data. Proc Mach Learn Res. 2019 Aug; 106:704-720. PMID: 34557674.
    Citations:    
  20. Chen IY, Szolovits P, Ghassemi M. Can AI Help Reduce Disparities in General Medical and Mental Health Care? AMA J Ethics. 2019 02 01; 21(2):E167-179. PMID: 30794127.
    Citations: 24     Fields:    Translation:Humans
  21. Celi LA, Citi L, Ghassemi M, Pollard TJ. The PLOS ONE collection on machine learning in health and biomedicine: Towards open code and open data. PLoS One. 2019; 14(1):e0210232. PMID: 30645625.
    Citations: 2     Fields:    Translation:Humans
  22. Ghassemi M, Wu M, Hughes MC, Szolovits P, Doshi-Velez F. Predicting intervention onset in the ICU with switching state space models. AMIA Jt Summits Transl Sci Proc. 2017; 2017:82-91. PMID: 28815112.
    Citations: 9     
  23. Wu M, Ghassemi M, Feng M, Celi LA, Szolovits P, Doshi-Velez F. Understanding vasopressor intervention and weaning: risk prediction in a public heterogeneous clinical time series database. J Am Med Inform Assoc. 2017 May 01; 24(3):488-495. PMID: 27707820.
    Citations: 9     Fields:    Translation:Humans
  24. Lynch KE, Ghassemi F, Flythe JE, Feng M, Ghassemi M, Celi LA, Brunelli SM. Sodium modelling to reduce intradialytic hypotension during haemodialysis for acute kidney injury in the intensive care unit. Nephrology (Carlton). 2016 Oct; 21(10):870-7. PMID: 26590371.
    Citations: 6     Fields:    Translation:Humans
  25. Hoogendoorn M, El Hassouni A, Mok K, Ghassemi M, Szolovits P. Prediction using patient comparison vs. modeling: a case study for mortality prediction. Annu Int Conf IEEE Eng Med Biol Soc. 2016 Aug; 2016:2464-2467. PMID: 28268823.
    Citations: 3     Translation:Humans
  26. Mehta DD, Van Stan JH, Zañartu M, Ghassemi M, Guttag JV, Espinoza VM, Cortés JP, Cheyne HA, Hillman RE. Using Ambulatory Voice Monitoring to Investigate Common Voice Disorders: Research Update. Front Bioeng Biotechnol. 2015; 3:155. PMID: 26528472.
    Citations: 29     
  27. Makar M, Ghassemi M, Cutler DM, Obermeyer Z. Short-term Mortality Prediction for Elderly Patients Using Medicare Claims Data. Int J Mach Learn Comput. 2015 Jun; 5(3):192-197. PMID: 28018571.
    Citations: 10     
  28. Ghassemi M, Celi LA, Stone DJ. State of the art review: the data revolution in critical care. Crit Care. 2015 Mar 16; 19:118. PMID: 25886756.
    Citations: 23     Fields:    Translation:Humans
  29. Badawi O, Brennan T, Celi LA, Feng M, Ghassemi M, Ippolito A, Johnson A, Mark RG, Mayaud L, Moody G, Moses C, Naumann T, Nikore V, Pimentel M, Pollard TJ, Santos M, Stone DJ, Zimolzak A. Metadata correction: making big data useful for health care: a summary of the inaugural mit critical data conference. JMIR Med Inform. 2015 01 21; 3(1):e6. PMID: 25608565.
    Citations:    
  30. Ghassemi M, Pimentel MA, Naumann T, Brennan T, Clifton DA, Szolovits P, Feng M. A Multivariate Timeseries Modeling Approach to Severity of Illness Assessment and Forecasting in ICU with Sparse, Heterogeneous Clinical Data. Proc Conf AAAI Artif Intell. 2015 Jan; 2015:446-453. PMID: 27182460.
    Citations: 19     
  31. Ghassemi M, Naumann T, Doshi-Velez F, Brimmer N, Joshi R, Rumshisky A, Szolovits P. Unfolding Physiological State: Mortality Modelling in Intensive Care Units. KDD. 2014 Aug 24; 2014:75-84. PMID: 25289175.
    Citations: 34     
  32. Badawi O, Brennan T, Celi LA, Feng M, Ghassemi M, Ippolito A, Johnson A, Mark RG, Mayaud L, Moody G, Moses C, Naumann T, Pimentel M, Pollard TJ, Santos M, Stone DJ, Zimolzak A. Making big data useful for health care: a summary of the inaugural mit critical data conference. JMIR Med Inform. 2014 Aug 22; 2(2):e22. PMID: 25600172.
    Citations: 20     
  33. Ghassemi M, Marshall J, Singh N, Stone DJ, Celi LA. Leveraging a critical care database: selective serotonin reuptake inhibitor use prior to ICU admission is associated with increased hospital mortality. Chest. 2014 Apr; 145(4):745-752. PMID: 24371841.
    Citations: 11     Fields:    Translation:Humans
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Funded by the NIH National Center for Advancing Translational Sciences through its Clinical and Translational Science Awards Program, grant number UL1TR002541.