MIT

Conference Proceedings

2010

  • Celi L, Hug C, Villaroel M, Clifford G, Mark R. Issues with data mining: predictive modeling on critically ill patients who develop acute renal failure. Crit Care Med, Jan. 2010.
  • Celi L, Villaroel M, Davidzon G, Galvin S, Clifford G, Galvin I, Bunton R, Szolovits P. Comparing the performance of customized mortality prediction models using local database against current standard scoring systems. Crit Care Med, Jan. 2010.
  • Heldt T. Cardiac output estimation: an engineering perspective. Annual meeting of the Pediatric Academic Societies, Vancouver, CA. May 2010.
  • Heldt T. Continuous Cardiac Output Estimation: An Engineering Perspective. Invited presentation, Workshop on Safe and Effective Devices for the Neonatal Intensive Care Unit, 2010 Annual Conference of the Pediatric Academic Societies, Vancouver, BC, Canada (May 2, 2010).
  • Heldt T, Verghese GC. Model-based data integration in clinical environments. Engineering in Medicine and Biology Society (EMBC), 2010 Annual International Conference of the IEEE. 2010, 5209–5212.
  • Heldt T, Verghese GC. Multiparameter Data Archiving and Exploration – Implications for Outcome Analysis. Grand Rounds, Department of Anesthesia, Critical Care, and Pain Medicine, Beth Israel Deaconess Medical Center, Boston, MA (April 21, 2010).
  • Heldt T, Verghese GC. Integrating Data, Models, and Reasoning in Critical Care. Advanced Technology Applications for Combat Casualty Care (ATACCC) Conference, St. Pete’s Beach, FL, August 2010.
  • Heldt T, Kashif FM, O’Leary HM, Suleymanci M, du Plessis AJ, Verghese GC. Comprehensive continuous cerebral oxygen metabolism monitoring through ventilator-gated analysis of cerebral near-infrared spectroscopy. 14th International Conference on Intracranial Pressure and Brain Monitoring, T¨ bingen, Germany, 2010.
  • Joshi R, Kshetri K, Lee C-H, Szolovits P. Modeling Latent Pathophysiologic States. NIPS 2010 Workshop on Learning and Planning from Batch Time Series Data. 2010.
  • Kashif FM. Non-invasive Cerebrovascular Monitoring. 2010 International Stroke Conference, American Heart Association, San Antonio, TX, USA (February 25, 2010).
  • Kashif FM, Heldt T, Novak V, Czosnyka M, Verghese GV. Model-based cerebrovascular monitoring. Model-based cerebrovascular monitoring. Stroke 41: e237, 2010.
  • Kashif FM, Heldt T, Novak V, Czosnyka M, Verghese GC. Noninvasive continuous estimation of intracranial pressure: a model-based, patient-specific, and calibration-free approach. 14th International Conference on Intracranial Pressure and Brain Monitoring, Tubingen, Germany, 2010.
  • Lojun SL, Sauper CJ, Medow M, Long WJ, Mark RG, Barzilay R. Investigating the impact of age, gender, and social features on resuscitation status in the ICU. AMIA Annu Symp Proc, 2010.
  • Mandelbaum T, Scott DJ, Mark RG, Howell MD, Malhutra A, Talmor DS. Outcome of critically ill patients with acute kidney injury using the AKIN criteria. Poster presentation at the Critical Care Canada Forum 2010, November 7-10, 2010, Toronto, Canada, Nov. 2010.
  • Ranger M, Heldt T, O’Leary H, Suleymanci M, Johnston C, du Plessis AJ. Description of global cerebral activation during noxious stimulus in critically ill preterm infants. Poster presentation, 8th International Workshop on Pediatric Pain, Mar. 2010.
  • Ranger M, Heldt T, O’Leary H, Suleymanci M, Johnston C, du Plessis AJ. Description of global cerebral activation during noxious stimulus in critically ill preterm infants. Poster contribution to the 5th International Workshop on Neonatal Brain Monitoring and Neuroprotection, Jan. 2010.
  • Silva I. PhysioNet 2010 Challenge: A robust multi-channel adaptive filtering approach to the estimation of physiological recordings. Comput Cardiol, 37, Sept. 2010.

2009

  • Celi LA, Villarroel M, Clifford G, Szolovits P. Local customized mortality prediction modeling for patients with acute kidneyinjury admitted to the intensive care unit. Presentation at the Sixth International Meeting on Computational Intelligence Methods for Bioinformatics and Biostatistics, Genova, Italy (http://cibb09.disi.unige.it), Oct. 2009.
  • Celi L, Villaroel M, Davidzon G, Galvin S, Clifford G, Galvin I, Bunton R, Szolovits P. Comparing the performance of customized mortality prediction models using local database against current standard scoring systems. Crit Care Med, 2009. Accepted for publication. Crit Care Med, , Society of Critical Care Medicine’s 39TH Critical Care Congress Abstracts 37(12) Supplement:A1–A567, Dec. 2009.
  • Chen T, Clifford GD, Mark RG. The effect of signal quality on six cardiac output estimators. Comput Cardiol, 36:197–200, Sept. 2009.
  • Heldt T. Model-based Estimation in Biomedicine. Invited presentation. Workshop on Computational Challenges in Integrative Biological Modeling. Mathematical Biosciences Institute, The Ohio State University, Columbus, Ohio, USA (October 7, 2009).
  • Heldt T. Caring for the micro-patient: device needs in the neonatal intensive care unit. Microsystems Technology Laboratory, MIT, Cambridge, MA, March 2009.
  • Heldt T, Verghese GC. Cardiac output estimation: a signal processing perspective. Workshop on Safe and Effective Devices for Use in the Neonatal Intensive Care Unit, Eunice Kennedy Shriver National Institute of Child Health and Human Development, National Institutes of Health, Bethesda, MD, February 2009.
  • Kashif FM, Heldt T, Novak V, Czosnyka M, Verghese GV. Non-invasive model-based cerebrovascular monitoring for neurotrauma. Poster presentation, CIMIT Innovation Congress 2009. (Awarded the ”Most Innovative Research Award”), Oct. 2009.
  • Moody GB, Lehman LH. Predicting acute hypotensive episodes: The 10th annual PhysioNet/Computers in Cardiology Challenge. Comput Cardiol, 36:541–544, Sept. 2009. (PDF)
  • Verghese GC. Getting to the Gray Box: Some Challenges for Model Reduction. Invited Plenary Talk. 2009 American Control Conference, St. Louis, MO, USA (June 10).
  • Verghese GC. Deconstructing Integrative Models: The Case for Model Reduction. Invited presentation. Workshop on Computational Challenges in Integrative Biological Modeling. Mathematical Biosciences Institute, The Ohio State University, Columbus, Ohio, USA (October 6, 2009).

2008

2007

2006

2005

2004

2003

2002