School of Nursing - Make a Gift

Eliezer Bose, PhD | Assistant Professor

Eliezer Bose

Email Eliezer Bose

Phone: 512 475-7296 (Office)

Office: NUR 3.432
The University of Texas at Austin, School of Nursing
1710 Red River Street
Austin, TX 78701

Eliezer Bose is an Assistant Professor in the Advanced Practice Division, having trained both as an engineer and as an Adult-Gerontology Acute Care Nurse Practitioner. He is a graduate of the University of Pittsburgh, where he received a PhD with a focus in critical care. His research interests are in identifying patients at greatest risk using applied machine learning and data mining techniques on large health care datasets (big data). His long-term "precision health" research interests lie in the use and application of data science methods to better predict disease or disease state risk and to design preemptive interventions to prevent failure to rescue.

Eliezer is a board-certified adult gerontology acute care nurse practitioner and an active member of the Society of Critical Care Medicine.

Publications

  • Bose, E., Clermont, G., Chen, L., Dubrawski, A., Ren, D., Hoffman, L., Pinsky, M.R., Hravnak, M. (2017). Cardiorespiratory instability in monitored step-down unit patients: using cluster analysis to identify patterns of change. Journal of Clinical Monitoring and Computing. DOI: 10.1007/s10877-017-0001-7.
  • Bose, E., Chen, L., Clermont, G., Dubrawski, A., Pinsky, M.R., Ren, D., Hoffman, L., Hravnak, M. (2017). Risk for Cardiorespiratory Instability Following Transfer to a Monitored Step-Down Unit. Respiratory Care. 62(4). DOI: 10.4187/respcare.05001.
  • Bose, E., Hravnak M., Sereika, S. (2017). Vector Autoregressive Models and Granger Causality in Time Series Analysis in Nursing Research: Dynamic Changes among Vital Signs Prior to Cardiorespiratory Instability Events as an Example. Nursing Research. 66(1), 13-19.
  • Chen, L., Dubrawski, A., Wang, D., Fiterau, M., Guillame-Bert, M., Bose, E., Kaynar, A., Wallace, D., Guttendorf,J., Clermont, G., Pinsky, M.R., Hravnak, M. (2016). Using Supervised Machine Learning to Classify Real Alerts and Artifact in Online Multi-signal Vital Sign Monitoring Data. Critical Care Medicine. 44(7), e456-63.
  • Bose, E., Hoffman, L., Hravnak, M. (2016). Monitoring Cardiorespiratory Instability: Current Approaches and Implications for Nursing Practice. Intensive and Critical Care Nursing. 34, 73-80.
  • Hravnak M, Chen L, Dubrawski A, Bose E, Clermont G, Pinsky MR. (2015). Real Alerts and Artifact Classification in Archived High-Frequency Multi-signal Vital Sign Monitoring Data—Implications for Mining Big Data. Journal of Clinical Monitoring and Computing. 2015; (DOI) 10.1007/s10877-015-9788-2.
  • Bose, E., Hravnak, M. (2015). Thromboelastogram (TEG): A Practice Summary for Nurse Practitioners Treating Hemorrhage. The Journal for Nurse Practitioners.11(7), 702-709.
  • Hravnak M., Chen L., Fiterau M., Dubrawski A., Clermont G., Guillame-Bert M., Bose E., Pinsky MR. (2015). Temporal variation in patient instability in continuously monitored step-down unit patients: Implications for Rapid Response Systems. Resuscitation. 89, 99-105. PMID: 25637693.