Unfolding physiological state: Mortality modelling in intensive care units

Proceedings of the ACM SIGKDD International Conference on Knowledge Discovery and Data Mining

Volumn , Issue , 2014, Pages 75-84

  Ghassemi, Marzyeh ^a   Naumann, Tristan ^a   Doshi Velez, Finale ^b   Brimmer, Nicole ^a   Joshi, Rohit ^a   Rumshisky, Anna ^c   Szolovits, Peter ^a  

^a MASSACHUSETTS INSTITUTE OF TECHNOLOGY   (United States)

^b Harvard Dental School   (United States)

^c UNIVERSITY OF MASSACHUSETTS LOWELL   (United States)

Author keywords

data mining for social good; healthcare and medicine; support vector machines; text; topic, graphical and latent variable models

Indexed keywords

EID: 84907029489     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1145/2623330.2623742     Document Type: Conference Paper

References (17)

1. C. Arnold et al. Clinical case-based retrieval using latent topic analysis. In AMIA Annual Symposium Proceedings, volume 2010, page 26. AMIA, 2010.
2. D. Blei, A. Ng, and M. Jordan. Latent dirichlet allocation. JMLR, 3(5):993-1022, 2003.
3. D. M. Blei and J. D. Lafferty. Dynamic topic models. In Proceedings of the 23rd international conference on Machine learning, pages 113-120. ACM, 2006.
4. C.-C. Chang and C.-J. Lin. LIBSVM: A library for support vector machines. ACM TIST, 2:27:1-27:27, 2011.
5. M. Ghassemi, T. Naumann, R. Joshi, and A. Rumshisky. Topic models for mortality modeling in intensive care units. In Proceedings of ICML 2012 (Machine Learning for Clinical Data Analysis Workshop), Poster Presentation, Edinburgh, UK, June 2012.
6. T. Griffiths and M. Steyvers. Finding scientific topics. In PNAS, volume 101, pages 5228-5235, 2004.
7. C. W. Hug and P. Szolovits. Icu acuity: real-time models versus daily models. In AMIA Annual Symposium Proceedings, volume 2009, page 260. American Medical Informatics Association, 2009.
8. A. E. Johnson, A. A. Kramer, and G. D. Clifford. A new severity of illness scale using a subset of acute physiology and chronic health evaluation data elements shows comparable predictive accuracy*. Critical care medicine, 41(7):1711-1718, 2013.
9. W. A. Knaus, D. Wagner, E. e. a. Draper, J. Zimmerman, M. Bergner, P. G. Bastos, C. Sirio, D. Murphy, T. Lotring, and A. Damiano. The apache iii prognostic system. risk prediction of hospital mortality for critically ill hospitalized adults. CHEST Journal, 100(6):1619-1636, 1991.
10. J. Le Gall, S. Lemeshow, and F. Saulnier. A new simplified acute physiology score (saps ii) based on a european/north american multicenter study. JAMA, 270(24):2957-2963, 1993.
11. L.-w. Lehman, M. Saeed, W. Long, J. Lee, and R. Mark. Risk stratification of icu patients using topic models inferred from unstructured progress notes. In AMIA Annual Symposium Proceedings, volume 2012, page 505. American Medical Informatics Association, 2012.
12. B. M. Marlin, D. C. Kale, R. G. Khemani, and R. C. Wetzel. Unsupervised pattern discovery in electronic health care data using probabilistic clustering models. In Proceedings of the 2nd ACM SIGHIT International Health Informatics Symposium, pages 389-398. ACM, 2012.
13. M. Saeed et al. Multiparameter Intelligent Monitoring in Intensive Care II: A public-access intensive care unit database. Critical Care Medicine, 39(5):952-960, May 2011.
14. G. Salton and C. S. Yang. On the specification of term values in automatic indexing. Journal of Documentation, 29(4):351-372, 1973.
15. S. Saria, G. McElvain, A. K. Rajani, A. A. Penn, and D. L. Koller. Combining structured and free-text data for automatic coding of patient outcomes. In AMIA Annual Symposium Proceedings, volume 2010, page 712. American Medical Informatics Association, 2010.
16. G. Siontis, I. Tzoulaki, and J. Ioannidis. Predicting death: an empirical evaluation of predictive tools for mortality. Archives of internal medicine, pages archinternmed-2011, 2011.
17. J.-L. Vincent, R. Moreno, J. Takala, S. Willatts, A. De Mendonça, H. Bruining, C. Reinhart, P. Suter, and L. Thijs. The sofa (sepsis-related organ failure assessment) score to describe organ dysfunction/failure. Intensive care medicine, 22(7):707-710, 1996.