Year |
Citation |
Score |
2020 |
Chen Y, Yoon JH, Pinsky MR, Ma T, Clermont G. Development of hemorrhage identification model using non-invasive vital signs. Physiological Measurement. PMID 32325439 DOI: 10.1088/1361-6579/Ab8Cb2 |
0.366 |
|
2019 |
Yoon JH, Mu L, Chen L, Dubrawski A, Hravnak M, Pinsky MR, Clermont G. Predicting tachycardia as a surrogate for instability in the intensive care unit. Journal of Clinical Monitoring and Computing. PMID 30767136 DOI: 10.1007/S10877-019-00277-0 |
0.325 |
|
2019 |
De-Arteaga M, Chen J, Huggins P, Elmer J, Clermont G, Dubrawski A. Predicting neurological recovery with Canonical Autocorrelation Embeddings. Plos One. 14: e0210966. PMID 30689648 DOI: 10.1371/Journal.Pone.0210966 |
0.342 |
|
2018 |
Murugan R, Balakumar V, Kerti SJ, Priyanka P, Chang CH, Clermont G, Bellomo R, Palevsky PM, Kellum JA. Net ultrafiltration intensity and mortality in critically ill patients with fluid overload. Critical Care (London, England). 22: 223. PMID 30244678 DOI: 10.1186/S13054-018-2163-1 |
0.307 |
|
2018 |
Ramirez-Zuniga I, Rubin JE, Swigon D, Clermont G. Mathematical Modeling of Energy Consumption in the Acute Inflammatory Response. Journal of Theoretical Biology. PMID 30149010 DOI: 10.1016/J.Jtbi.2018.08.033 |
0.336 |
|
2017 |
Seymour CW, Gomez H, Chang CH, Clermont G, Kellum JA, Kennedy J, Yende S, Angus DC. Precision medicine for all? Challenges and opportunities for a precision medicine approach to critical illness. Critical Care (London, England). 21: 257. PMID 29047353 DOI: 10.1186/S13054-017-1836-5 |
0.302 |
|
2017 |
Jin K, Murugan R, Sileanu FE, Foldes E, Priyanka P, Clermont G, Kellum JA. Intensive Monitoring of Urine Output is Associated with Increased Detection of Acute Kidney Injury and Improved Outcomes. Chest. PMID 28527880 DOI: 10.1016/J.Chest.2017.05.011 |
0.314 |
|
2017 |
Richards E, Clermont G, Parker RS. Modeling Fluid Volume and Creatinine Dynamics during Acute Kidney Injury and Edema Ifac-Papersonline. 50: 6678-6683. DOI: 10.1016/J.Ifacol.2017.08.1160 |
0.336 |
|
2016 |
Hauskrecht M, Batal I, Hong C, Nguyen Q, Cooper GF, Visweswaran S, Clermont G. Outlier-based detection of unusual patient-management actions: an ICU study. Journal of Biomedical Informatics. PMID 27720983 DOI: 10.1016/J.Jbi.2016.10.002 |
0.308 |
|
2016 |
Zhang LA, Parker RS, Swigon D, Banerjee I, Bahrami S, Redl H, Clermont G. A One-Nearest-Neighbor Approach to Identify the Original Time of Infection Using Censored Baboon Sepsis Data. Critical Care Medicine. PMID 26968022 DOI: 10.1097/Ccm.0000000000001623 |
0.306 |
|
2015 |
Malkin AD, Sheehan RP, Mathew S, Federspiel WJ, Redl H, Clermont G. A Neutrophil Phenotype Model for Extracorporeal Treatment of Sepsis. Plos Computational Biology. 11: e1004314. PMID 26468651 DOI: 10.1371/Journal.Pcbi.1004314 |
0.332 |
|
2015 |
Price I, Mochan-Keef ED, Swigon D, Ermentrout GB, Lukens S, Toapanta FR, Ross TM, Clermont G. The inflammatory response to influenza A virus (H1N1): An experimental and mathematical study. Journal of Theoretical Biology. 374: 83-93. PMID 25843213 DOI: 10.1016/J.Jtbi.2015.03.017 |
0.3 |
|
2015 |
Knab TD, Clermont G, Parker RS. Zone model predictive control and moving horizon estimation for the regulation of blood glucose in critical care patients Ifac Proceedings Volumes (Ifac-Papersonline). 48: 1002-1007. DOI: 10.1016/J.Ifacol.2015.09.099 |
0.315 |
|
2014 |
Wu C, Rosenfeld R, Clermont G. Using data-driven rules to predict mortality in severe community acquired pneumonia. Plos One. 9: e89053. PMID 24699007 DOI: 10.1371/Journal.Pone.0089053 |
0.331 |
|
2013 |
Barber J, Tronzo M, Harold Horvat C, Clermont G, Upperman J, Vodovotz Y, Yotov I. A three-dimensional mathematical and computational model of necrotizing enterocolitis. Journal of Theoretical Biology. 322: 17-32. PMID 23228363 DOI: 10.1016/J.Jtbi.2012.11.018 |
0.315 |
|
2013 |
Holder A, Guillame-Bert M, Chen K, Huggins P, Dubrawski A, Hravnak M, Clermont G, Pinsky M. Is there an information hierarchy among hemodynamic variables for early identification of occult hemorrhage Journal of Critical Care. 28. DOI: 10.1016/J.Jcrc.2013.07.030 |
0.335 |
|
2012 |
Song SO, Song SO, Hogg J, Peng ZY, Parker R, Kellum JA, Clermont G. Ensemble models of neutrophil trafficking in severe sepsis. Plos Computational Biology. 8: e1002422. PMID 22412365 DOI: 10.1371/Journal.Pcbi.1002422 |
0.355 |
|
2012 |
Song SO, Parker R, Clermont G. Understanding pathophysiologic mechanisms in severe sepsis using an ensemble of neutrophil kinetic based systemic inflammation model Journal of Critical Care. 27: e4. DOI: 10.1016/J.Jcrc.2012.01.019 |
0.334 |
|
2011 |
Nabors S, Bountourelis T, Schaefer A, Luangkesorn L, Kharoufeh J, Maillart L, Yang W, Clermont G. Cost impact of blocking: predictability of ICU patient throughput and cost variance using process modeling Critical Care. 15: 460. DOI: 10.1186/Cc9880 |
0.311 |
|
2010 |
Peng Z, Singbartl K, Simon P, Rimmelé T, Bishop J, Clermont G, Kellum JA. Blood purification in sepsis: a new paradigm. Contributions to Nephrology. 165: 322-8. PMID 20427984 DOI: 10.1159/000313773 |
0.312 |
|
2010 |
Reynolds A, Bard Ermentrout G, Clermont G. A mathematical model of pulmonary gas exchange under inflammatory stress. Journal of Theoretical Biology. 264: 161-73. PMID 20083125 DOI: 10.1016/J.Jtbi.2010.01.011 |
0.302 |
|
2010 |
Hogg JS, Clermont G, Parker RS. Acute Inflammation Treatment via Particle Filter State Estimation and MPC Ifac Proceedings Volumes. 43: 272-277. DOI: 10.3182/20100705-3-Be-2011.00045 |
0.316 |
|
2009 |
Tegnér JN, Compte A, Auffray C, An G, Cedersund G, Clermont G, Gutkin B, Oltvai ZN, Stephan KE, Thomas R, Villoslada P. Computational disease modeling - fact or fiction? Bmc Systems Biology. 3: 56. PMID 19497118 DOI: 10.1186/1752-0509-3-56 |
0.302 |
|
2008 |
Li NY, Verdolini K, Clermont G, Mi Q, Rubinstein EN, Hebda PA, Vodovotz Y. A patient-specific in silico model of inflammation and healing tested in acute vocal fold injury. Plos One. 3: e2789. PMID 18665229 DOI: 10.1371/Journal.Pone.0002789 |
0.332 |
|
2008 |
Daun S, Rubin J, Vodovotz Y, Roy A, Parker R, Clermont G. An ensemble of models of the acute inflammatory response to bacterial lipopolysaccharide in rats: Results from parameter space reduction Journal of Theoretical Biology. 253: 843-853. PMID 18550083 DOI: 10.1016/J.Jtbi.2008.04.033 |
0.318 |
|
2008 |
Reynolds A, Clermont G, Ermentrout GB. A closed loop model of pulmonary gas exchange Journal of Critical Care. 23: 270. DOI: 10.1016/J.Jcrc.2008.03.024 |
0.3 |
|
2008 |
Daun S, Rubin J, Roy A, Kellum J, Parker R, Clermont G. An ensemble of models of the acute inflammatory response Journal of Critical Care. 23: 263. DOI: 10.1016/J.Jcrc.2008.03.006 |
0.306 |
|
2007 |
Daun S, Clermont G. In Silico Modeling in Infectious Disease. Drug Discovery Today. Disease Models. 4: 117-122. PMID 19707291 DOI: 10.1016/J.Ddmod.2007.09.001 |
0.306 |
|
2007 |
Clermont G. Modeling longitudinal data in acute illness. Critical Care (London, England). 11: 152. PMID 17688677 DOI: 10.1186/Cc5968 |
0.305 |
|
2007 |
An G, Hunt CA, Clermont G, Neugebauer E, Vodovotz Y. Challenges and rewards on the road to translational systems biology in acute illness: four case reports from interdisciplinary teams Journal of Critical Care. 22: 169-175. PMID 17548029 DOI: 10.1016/J.Jcrc.2006.12.011 |
0.303 |
|
2007 |
Papachristou GI, Clermont G, Sharma A, Yadav D, Whitcomb DC. Risk and markers of severe acute pancreatitis. Gastroenterology Clinics of North America. 36: 277-96, viii. PMID 17533079 DOI: 10.1016/J.Gtc.2007.03.003 |
0.306 |
|
2007 |
Daun S, Parker R, Roy A, Rubin J, Clermont G. Parameter identifiability in a model of the acute inflammatory response Journal of Critical Care. 22: 345. DOI: 10.1016/J.Jcrc.2007.10.025 |
0.302 |
|
2006 |
Lagoa CE, Bartels J, Baratt A, Tseng G, Clermont G, Fink MP, Billiar TR, Vodovotz Y. The role of initial trauma in the host's response to injury and hemorrhage: insights from a correlation of mathematical simulations and hepatic transcriptomic analysis. Shock (Augusta, Ga.). 26: 592-600. PMID 17117135 DOI: 10.1097/01.Shk.0000232272.03602.0A |
0.313 |
|
2006 |
Vodovotz Y, Chow CC, Bartels J, Lagoa C, Prince JM, Levy RM, Kumar R, Day J, Rubin J, Constantine G, Billiar TR, Fink MP, Clermont G. In silico models of acute inflammation in animals. Shock (Augusta, Ga.). 26: 235-44. PMID 16912648 DOI: 10.1097/01.Shk.0000225413.13866.Fo |
0.337 |
|
2006 |
Day J, Rubin J, Vodovotz Y, Chow CC, Reynolds A, Clermont G. A reduced mathematical model of the acute inflammatory response II. Capturing scenarios of repeated endotoxin administration. Journal of Theoretical Biology. 242: 237-56. PMID 16616206 DOI: 10.1016/J.Jtbi.2006.02.015 |
0.337 |
|
2006 |
Dremsizov T, Clermont G, Kellum JA, Kalassian KG, Fine MJ, Angus DC. Severe sepsis in community-acquired pneumonia: when does it happen, and do systemic inflammatory response syndrome criteria help predict course? Chest. 129: 968-78. PMID 16608946 DOI: 10.1378/Chest.129.4.968 |
0.323 |
|
2006 |
Hancioglu B, Clermont G, Swigon D. A dynamical model of influenza A virus infection: clinical and epidemiological relevance Journal of Critical Care. 21: 355. DOI: 10.1016/J.Jcrc.2006.10.021 |
0.302 |
|
2005 |
Hotchkiss JR, Strike DG, Clermont G, Crooke PS. Pathogen dissemination in health care facilities: what to do when traditional assumptions fail Journal of Critical Care. 20: 388. DOI: 10.1016/J.Jcrc.2005.09.032 |
0.323 |
|
2004 |
Kersten A, Clermont G, Hoste E, Huang D, Milbrandt E, Martich D, Kellum J, Angus D. The timing of new acute hemodynamic events in ICU patients. Critical Care. 8: 76. DOI: 10.1186/Cc2543 |
0.302 |
|
2004 |
Vodovotz Y, Clermont G, Bartels J, Constantine G, Chow C. VALIDATION AND CALIBRATION IN ANIMALS OF A MATHEMATICAL MODEL OF ACUTE INFLAMMATION Shock. 21: 98. DOI: 10.1097/00024382-200403001-00392 |
0.302 |
|
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