| Using supervised machine learning to classify real alerts and artifact in online multisignal vital sign monitoring data L Chen, A Dubrawski, D Wang, M Fiterau, M Guillame-Bert, E Bose, ... Critical care medicine 44 (7), e456-e463, 2016 | 82 | 2016 |
| Vector autoregressive models and Granger causality in time series analysis in nursing research: dynamic changes among vital signs prior to cardiorespiratory instability events … E Bose, M Hravnak, SM Sereika Nursing research 66 (1), 12-19, 2017 | 60 | 2017 |
| Real alerts and artifact classification in archived multi-signal vital sign monitoring data: implications for mining big data M Hravnak, L Chen, A Dubrawski, E Bose, G Clermont, MR Pinsky Journal of clinical monitoring and computing 30, 875-888, 2016 | 43 | 2016 |
| Using unsupervised machine learning to identify subgroups among home health patients with heart failure using telehealth E Bose, K Radhakrishnan CIN: Computers, Informatics, Nursing 36 (5), 242-248, 2018 | 37 | 2018 |
| Machine learning methods for identifying critical data elements in nursing documentation E Bose, S Maganti, KH Bowles, BL Brueshoff, KA Monsen Nursing research 68 (1), 65-72, 2019 | 31 | 2019 |
| The interface between monitoring and physiology at the bedside EL Bose, M Hravnak, MR Pinsky Critical care clinics 31 (1), 1-24, 2015 | 26 | 2015 |
| Causes of failure to rescue M Hravnak, A Mazzoccoli, E Bose, MR Pinsky Textbook of rapid response systems: Concept and implementation, 95-110, 2017 | 24 | 2017 |
| Thromboelastography: a practice summary for nurse practitioners treating hemorrhage E Bose, M Hravnak The Journal for Nurse Practitioners 11 (7), 702-709, 2015 | 24 | 2015 |
| Monitoring cardiorespiratory instability: current approaches and implications for nursing practice E Bose, L Hoffman, M Hravnak Intensive and Critical Care Nursing 34, 12-19, 2016 | 20 | 2016 |
| Cardiorespiratory instability in monitored step-down unit patients: using cluster analysis to identify patterns of change EL Bose, G Clermont, L Chen, AW Dubrawski, D Ren, LA Hoffman, ... Journal of clinical monitoring and computing 32, 117-126, 2018 | 19 | 2018 |
| Diabetes changes symptoms cluster patterns in persons living with HIV JA Zuniga, E Bose, J Park, MD Lapiz-Bluhm, AA García Journal of the Association of Nurses in AIDS Care 28 (6), 888-896, 2017 | 16 | 2017 |
| Mexican Americans' diabetes symptom prevalence, burden, and clusters AA Garcia, E Bose, JA Zuniga, W Zhang Applied Nursing Research 46, 37-42, 2019 | 15 | 2019 |
| Temporal distribution of instability events in continuously monitored step-down unit patients: implications for rapid response systems M Hravnak, L Chen, A Dubrawski, E Bose, MR Pinsky Resuscitation 89, 99-105, 2015 | 15 | 2015 |
| Artifact patterns in continuous noninvasive monitoring of patients M Hravnak, L Chen, E Bose, M Fiterau, M Guillame-Bert, A Dubrawski, ... Intensive care medicine 39 (Suppl 2), S405, 2013 | 8 | 2013 |
| Risk for cardiorespiratory instability following transfer to a monitored step-down unit E Bose, L Chen, G Clermont, A Dubrawski, MR Pinsky, D Ren, ... Respiratory care 62 (4), 415-422, 2017 | 6 | 2017 |
| Pre-HAART CD4+ T-lymphocytes as biomarkers of post-HAART immune recovery in HIV-infected children with or without TB co-infection V Gopalakrishnan, E Bose, U Nair, Y Cheng, M Ghebremichael BMC Infectious Diseases 20, 1-8, 2020 | 5 | 2020 |
| Symptom clusters and functional impairment in individuals treated for Lyme borreliosis N Zubcevik, C Mao, QM Wang, EL Bose, RN Octavien, D Crandell, ... Frontiers in Medicine 7, 464, 2020 | 4 | 2020 |
| Multi-tier ground truth elicitation framework with application to artifact classification for predicting patient instability D Wang, L Chen, M Fiterau, A Dubrawski, M Hravnak, E Bose, D Wallace, ... J Intensive Care Med 40 (1 Suppl), S289, 2014 | 4 | 2014 |
| Artifact adjudication for vital sign step-‐down unit data can be improved using active learning with low-‐dimensional models M Fiterau, A Dubrawski, L Chen, E Bose, M Hravnak, G Clermont, ... Entropy 43, 46, 2014 | 3 | 2014 |
| Minimum redundancy maximal relevance gene selection of apoptosis pathway genes in peripheral blood mononuclear cells of HIV-infected patients with antiretroviral therapy … E Bose, E Paintsil, M Ghebremichael BMC Medical Genomics 14, 1-10, 2021 | 2 | 2021 |
