Journal articles | Conference presentations | Books and book chapters

Journal articles

2014
[1]
Dejam A, Malley BE, Feng M, Cismondi F, Park S, Samani S, Samani ZA, Pinto DS, , Celi LA. The effect of age and clinical circumstances on the outcome of red blood cell transfusion in critically ill patients. Critical Care, 18(4):487, 2014. [Epub ahead of print]¯. (PDF) (doi:10.1186/s13054-014-0487-z) (PMID:25175389)
[2]
Fuchs L, Novack V, McLennan S, Celi LA, Baumfeld Y, Park S, Howell MD, Talmor DS. Trends in severity of illness on icu admission and mortality among the elderly. PLoS One, 9(4):e93234, Apr. 2014. (PDF) (doi:10.1371/journal.pone.0093234) (PMID:24699251)
[3]
Ghassemi MM, Richter SE, Eche IM, Chen TW, Danziger J, Celi LA. A data-driven approach to optimized medication dosing: a focus on heparin. Intensive Care Med, online publication, Aug. 2014. (PDF) (doi:10.1007/s00134-014-3406-5) (PMID:25091788)
[4]
Lee J, de Louw E, Niemi M, Nelson R, Mark R, Celi L, Mukamal K, Danziger J. Association between fluid balance and survival in critically ill patients. J Intern Med, June 2014. [Epub ahead of print]. (PDF) (doi:10.1111/joim.12274) (PMID:24931482)
[5]
Lehman LH, Adams RP, Mayaud L, Moody GB, Malhotra A, Mark RG, Nemati S. A physiological time series dynamics-based approach to patient monitoring and outcome prediction. IEEE J Biomed Health Inform, PP(99):1, 2014. (PDF) (doi:10.1109/JBHI.2014.2330827)
[6]
Moskowitz A, Lee J, Donnino MW, Mark R, Celi LA, , Danziger J. The association between admission magnesium concentrations and lactic acidosis in critical illness. J Intensive Care Med, 0885066614530659, Apr. 2014. [Epub ahead of print]. (PDF) (doi:10.1177/0885066614530659) (PMID:24733810)
2013
[1]
Celi L, Scott D, Lee J, Nelson R, Mukamal K, Mark R, Danziger J. Association of hypermagnesemia and blood pressure in the critically ill. J Hypertens, 31(11):2136–2141, Nov. 2013. (PDF) (PMID:24029865)
[2]
Danziger J, William JH, Scott DJ, Lee J, Lehman L, Mark RG, Howell MD, Celi LA, Mukamal KJ. Proton-pump inhibitor use is associated with low serum magnesium concentrations. Kidney International, 83:692–699, 2013. Published online 16 January 2013. (PDF) (doi:10.1038/ki.2012.452) (PMID:23325090)
[3]
Fialho AS, Celi LA, Cismondi F, Vieira SM, Reti SR, Sousa JMC, Finkelstein SN. Disease-based modeling to predict fluid response in intensive care units. Methods Inf Med, 52(5), Aug. 2013. [Epub ahead of print]. (PDF) (PMID:23986268)
[4]
Lee J, Govindan S, Celi L, Khabbaz K, Subramaniam B. Customized prediction of short length of stay following elective cardiac surgery in elderly patients using a genetic algorithm. World J Cardiovasc Surg, 3(5):163–170, Sept. 2013. (PDF) (PMID:24482754)
[5]
Lehman LH, Saeed M, Talmor D, Mark R, Malhotra A. Methods of blood pressure measurement in the ICU. Crit Care Med, 41(1):34–40, Jan. 2013. (doi:10.1097/CCM.0b013e318265ea46) (PMID:23269127)
[6]
Mandelbaum T, Lee J, Scott DJ, Mark RG, Malhotra A, Howell MD, Talmor D. Empirical relationships among oliguria, creatinine, mortality, and renal replacement therapy in the critically ill. Intensive Care Med, 39(3):414–419, Dec. 2013. (T. Mandelbaum and J. Lee contributed equally to this work. Published online 7 December 2012.). (PDF) (doi:10.1007/s00134-012-2767-x) (PMID:23223822)
[7]
Mayaud L, Lai P, Clifford G, Tarrasenko L, Celi L, Annane D. Dynamic data during hypotensive episode improves mortality predictions among patients with sepsis and hypotension. Crit Care Med, 41(4):954–962, Apr. 2013. (PMID:23385106)
[8]
Scott DJ, Lee J, Silva I, Park S, Moody GB, Celi LA, Mark RG. Accessing the public MIMIC-II intensive care relational database for clinical research. BMC Med Inform Decis Mak, 13:9, Jan. 2013. (PDF) (doi:10.1186/1472-6947-13-9) (PMID:23302652)
2012
[1]
Celi LA, Galvin S, Davidzon G, Lee J, Scott D, Mark R. A database-driven decision support system: Customized mortality prediction. J Pers Med, 2(4):138–148, Sept. 2012. (doi:10.3390/jpm2040138) (PMID:23766893)
[2]
Celi LAG, Lee J, Scott DJ, Panch T, Mark RG. Collective experience: a database-fuelled, inter-disciplinary team-led learning system. J Comput Sci Eng, 6(1):51–59, 2012. (PDF) (doi:10.5626/JCSE.2012.6.1.51) (PMID:23766887)
[3]
Fuchs L, Chronaki CE, Park S, Novack V, Baumfeld Y, Scott D, McLennan S, Talmor D, Celi L. ICU admission characteristics and mortality rates among elderly and very elderly patients. Intensive Care Med, 2012. Published online 15 July 2012. (PDF) (doi:10.1007/s00134-012-2629-6) (PMID:22797350)
[4]
Heldt T, Kashif FM, Sulemanji M, O'Leary HM, du Plessis AJ, , Verghese GC. Continuous quantitative monitoring of cerebral oxygen metabolism in neonates by ventilator-gated analysis of NIRS recordings. Acta Neurochir Suppl, 114:177–180, 2012. (PDF) (PMID:22327688)
[5]
Hunziker S, Celi LA, Lee J, Howell MD. Red cell distribution width improves the saps score for risk prediction in unselected critically ill patients. Crit Care, 16:R89, 2012. (PDF) (doi:10.1186/cc11351) (PMID:22607685)
[6]
Kashif FM, Verghese GC, Novak V, Czosnyka M, Heldt T. Model-based noninvasive estimation of intracranial pressure from cerebral blood flow velocity and arterial pressure. Sci Transl Med, 4(129):129ra44, Apr. 2012. (PDF) (doi:10.1126/scitranslmed.3003249) (PMID:22496546)
[7]
Lee J, Kothari R, Ladapo JA, Scott DJ, Celi LA. Interrogating a clinical database to study treatment of hypotension in the critically ill. BMJ Open, 2012(2):e000916, 2012. (PDF) (doi:10.1136/bmjopen-2012-000916) (PMID:22685222)
[8]
Lee J, Nemati S, Silva I, Edwards BA, Butler JP, Malhotra A. Transfer entropy estimation and directional coupling change detection in biomedical time series. BioMed Eng OnLine, 11:19, 2012. (PDF) (doi:10.1186/1475-925X-11-19) (PMID:22500692)
2011
[1]
Celi LAG, Tang RJ, Villaroel M, Davidzon GA, Lester WT, Chueh HC. A clinical database-driven approach to decision support: Predicting mortality among patients with acute kidney injury. Journal of Healthcare Engineering, 2(1):97–110, Mar. 2011. (PMID:22844575)
[2]
Heldt T, Kashif FM, Sulemanji M, O'Leary HM, du Plessis AJ, Verghese GC. Continuous quantitative monitoring of cerebral oxygen metabolism in neonates by ventilator-gated analysis of NIRS recordings. Acta Neurochirurgica, 2011. Accepted for publication.
[3]
Hug C, Clifford GD, Reisner AT. Clinician blood pressure documentation of stable intensive care patients: an intelligent archiving agent has a higher association with future hypotension. Crit Care Med, 39(5):1006–1014, May 2011. [Epub ahead of print]. (PDF) (doi:10.1097/CCM.0b013e31820eab8e) (PMID:21336136)
[4]
Mandelbaum T, Scott DJ, Lee J, Mark RG, Malhotra A, Waikar S, Howell MD, Talmor DS. Outcome of critically ill patients with acute kidney injury using the Acute Kidney Injury Network criteria. Crit Care Med, 39(12):2659–2664, Dec. 2011. Preprint available online 14 July 2011. (PMID:21765352)
[5]
Nemati S, Abdala O, Bazan V, Tim-Yeh S, Malhotra A, Clifford GD. A non-parametric surrogate-based test of significance for T-wave alternans detection. IEEE Transactions On Biomedical Engineering, 58(5):1356–64, May 2011. Epub Apr 19, 2010. (PDF) (doi:10.1109/TBME.2010.2047859) (PMID:20409986)
[6]
Nemati S, Malhotra A, Clifford GD. T-wave alternans patterns during sleep in healthy, cardiac disease, and sleep apnea patients. J Electrocardiol, 44(2):126–30, Mar–Apr 2011. Epub Dec 15, 2010. (PDF) (doi:10.1016/j.jelectrocard.2010.10.036) (PMID:21163493)
[7]
Saeed M, Villarroel M, Reisner AT, Clifford G, Lehman L, Moody G, Heldt T, Kyaw TH, Moody B, Mark RG. Multiparameter intelligent monitoring in intensive care II (MIMIC-II): A public-access intensive care unit database. Crit Care Med, 39(5):952–960, 2011. (PDF) (doi:10.1097/CCM.0b013e31820a92c6) (PMID:21283005)
2010
[1]
Clifford GD, Nemati S, Sameni R. An artificial vector model for generating abnormal electrocardiographic rhythms. Physiol Meas, 31(5):595–609, May 2010. IOP 'Featured Article'. (PDF) (doi:10.1088/0967-3334/31/5/001) (PMID:20308774)
[2]
Heldt T, Mukkamala R, Moody GB, Mark RG. CVSim: an open-source cardiovascular simulator for teaching and research. The Open Pacing, Electrophysiology, and Therapy Journal, 3:45–54, 2010. (PDF) (doi:10.2174/1876536X01003010045) (PMID:21949555)
[3]
Lee J, Mark RG. An investigation of patterns in hemodynamic data indicative of impending hypotension in intensive care. BioMedical Engineering OnLine, 9(62), 2010. (doi:10.1186/1475-925X-9-62) (PMID:20973998)
[4]
Nemati S, Malhotra A, Clifford GD. Data fusion for improved respiration rate estimation. EURASIP Journal on Advances in Signal Processing, 2010(926305):1–10, May 2010. (PDF) (doi:10.1155/2010/926305) (PMID:20806056)
[5]
Sayadi O, Shamsollahi MB, Clifford GD. Robust detection of premature ventricular contractions using a wave-based Bayesian framework. IEEE Transactions on Biomedical Engineering, 57(2):353–362, Feb. 2010. (PDF) (doi:10.1109/TBME.2009.2031243) (PMID:19758851)
[6]
Sayadi O, Shamsollahi MB, Clifford GD. Synthetic ECG generation and Bayesian filtering using a Gaussian wave-based dynamical model. Physiol Meas, 31(10):1309–29, Oct. 2010. Epub Aug 18, 2010. (PDF) (PMID:20720288)
2009
[1]
Clifford GD, Long WJ, Moody GB, Szolovits P. Robust parameter extraction for decision support using multimodal intensive care data. Phil Trans Royal Soc A, 367(1877):411–429, Jan. 2009. Special issue on Signal Processing in Vital Rhythms and Signs. (PDF) (doi:10.1098/rsta.2008.0157) (PMID:18936019)
[2]
Goldstein I, Özlem Uzuner . Specializing for predicting obesity and its co-morbidities. J Biomed Inform, 42(5):873–86, Oct 2009. Epub Nov 11, 2008. (doi:10.1016/j.jbi.2008.11.001) (PMID:19041423)
[3]
Li Q, Mark RG, Clifford GD. Artificial arterial blood pressure artifact models and an evaluation of a robust blood pressure and heart rate estimator. BMC Biomed Eng Online, 8(13), 2009. (doi:10.1186/1475-925X-8-13) (PMID:19586547)
[4]
Sun J, Reisner A, Saeed M, Heldt T, Mark R. The cardiac output from blood pressure algorithms trial. Crit Care Med, 37(1):72–80, Jan. 2009. (PDF) (PMID:19112280)
2008
[1]
Aboukhalil A, Nielsen L, Saeed M, Mark RG, Clifford GD. Reducing false alarm rates for critical arrhythmias using the arterial blood pressure waveform. J Biomed Inform, 41(3):442–451, June 2008. (doi:10.1016/j.jbi.2008.03.003) (PMID:18440873)
[2]
Clifford GD, Blaya JA, Hall-Clifford R, Fraser HSF. Medical information systems: A foundation for healthcare technologies in developing countries. BMC Biomed Eng Online, 7(1):18, 2008. (doi:10.1186/1475-925X-7-18) (PMID:18547411)
[3]
Jia X, Malhotra A, Saeed M, Mark RG, Talmor D. Risk factors for Acute Respiratory Distress Syndrome in patients mechanically ventilated for greater than 48 hours. Chest, 133(4):853–861, Apr. 2008. (doi:10.1378/chest.07-1121) (PMID:18263691)
[4]
Li Q, Mark RG, Clifford GD. Robust heart rate estimation from multiple asynchronous noisy sources using signal quality indices and a Kalman filter. IOP Physiol Meas, 29(1):15–32, Jan. 2008. (Awarded the Martin Black Prize for Best Paper in Physiological Measurement in 2008). (PDF) (PMID:18175857)
[5]
Neamatullah I, Douglass M, Lehman LH, Reisner A, Villarroel M, Long WJ, Szolovits P, Moody GB, Mark RG, Clifford GD. Automated de-identification of free-text medical records. BMC Med Inform Decis Mak, 8(32), 2008. (doi:10.1186/1472-6947-8-32) (PMID:18652655)
[6]
Uzuner O, Sibanda TC, Luo Y, Szolovits P. A de-identifier for medical discharge summaries. Artif Intell Med, 42(1):13–35, 2008. Epub 2007 Nov 28. (PDF) (doi:10.1016/j.artmed.2007.10.001) (PMID:18053696)
[7]
Wolfberg AJ, DeRosier DJ, Roberts T, Syed Z, Clifford GD, Acker D, du Plessis AJ. A comparison of subjective and mathematical estimations of fetal heart rate variability. Journal of Maternal-Fetal and Neonatal Medicine, 21(2):101–4, 2008. (doi:10.1080/14767050701836792) (PMID:18240077)
[8]
Zhang Y, Szolovits P. Patient-specific learning in real time for adaptive monitoring in critical care. J Biomed Inform, 41(3):452–460, June 2008. Epub 2008 Mar 28. (PMID:18463000)
2007
[1]
Lian J, Clifford GD, Müessig D, Lang V. Open source model for generating RR intervals in atrial fibrillation and beyond. BioMedical Engineering OnLine, 6(9):1–16, Mar. 2007. doi:10.1186/1475-925X-6-9. (PDF) (PMID:17335580)
[2]
Sameni R, Clifford GD, Shamsollahi MB, Jutten C. Multi-channel ECG and noise modeling: application to maternal and fetal ECG signals. EURASIP Journal on Advances in Signal Processing, 2007(43407):1–14, 2007. (PDF) (doi:10.1155/2007/43407)
[3]
Sameni R, Shamsollahi MB, Jutten C, Clifford GD. A nonlinear Bayesian filtering framework for ECG denoising. IEEE Trans Biomed Eng, 54(12):2172–2185, Dec. 2007. (PDF) (PMID:18075033)
[4]
Uzuner O, Luo Y, Szolovits P. Evaluating the state-of-the-art in automatic de-identification. J Am Med Inform Assoc, 14(5):550–563, 2007. Epub 2007 Jun 28. (PDF) (doi:10.1197/jamia.M2444) (PMID:17600094)
2006
[1]
Clifford GD. A novel framework for signal representation and source separation. Journal of Biological Systems, 14(2):169–183, June 2006. (PDF)
[2]
Heldt T. Continuous blood pressure-derived cardiac output monitoring — should we be thinking long term? J Appl Physiol, 101(2):373–374, 2006. Invited editorial. (PDF) (PMID:16690788)
[3]
Parlikar T, Heldt T, Verghese G. Cycle-averaged models of cardiovascular dynamics. IEEE Transactions on Circuits and Systems–I: Fundamental Theory and Applications, 53(11):2459–2468, 2006. (PDF)
2005
[1]
Clifford GD, Shoeb A, McSharry PE, Janz BA. Model-based filtering, compression and classification of the ECG. International Journal of Bioelectromagnetism, 7(1):158–161, 2005. (PDF)
[2]
Heldt T, Chang JL, Chen JJS, Verghese GC, Mark RG. Cycle-averaged dynamics of a periodically driven, closed loop circulation model. Control Engineering Practice, 13:1163–1171, 2005. (PDF) (PMID:16050064)
2004
[1]
Clifford GD, Tarassenko L. Segmenting cardiac-related data using sleep stages increases separation between normal subjects and apnoeic patients. IOP Physiol Meas, (25):N27–N35, 2004. (PDF) (doi:10.1088/0967-3334/25/6/N03) (PMID:15712732)

Conference proceedings and presentations

2014
[1]
Lehman L, Long W, Saeed M, Mark R. Latent topic discovery of clinical concepts from hospital discharge summaries of a heterogeneous patient cohort. Proceedings of the 36th International Conference of the IEEE Engineering in Medicine and Biology Society, Aug. 2014. (PDF)
[2]
Lehman LH, Nemati S, Moody G, Heldt T, Mark RG. Uncovering clinical significance of vital sign dynamics in critical care. Comput Cardiol, 41:1141–1144, 2014. (PDF)
2013
[1]
Lehman LH, Nemati S, Adams RP, Moody G, Malhotra A, Mark RG. Tracking progression of patient state of health in critical care using inferred shared dynamics in physiological time series. Conf Proc IEEE Eng Med Biol Soc, 7072–5, 2013. (PDF) (doi:10.1109/EMBC.2013.6611187) (PMID:24111374)
[2]
Nemati S, Lehman LH, Adams RP. Learning outcome-discriminative dynamics in multivariate physiological cohort time series. Conf Proc IEEE Eng Med Biol Soc, 7104–7, 2013. (PDF) (doi:10.1109/EMBC.2013.6611195) (PMID:24111382)
2012
[1]
Berg K, Ghassemi M, Donnino M, Marshall J, Celi L. Pre-admission use of selective serotonin reuptake inhibitors is associated with icu mortality. Poster presentation [Poster Board #224] at the American Thoracic Society International Conference, San Francisco, May 18–23, 2012.
[2]
Lehman L, Nemati S, Adams RP, Mark R. Discovering shared dynamics in physiological signals: Application to patient monitoring in ICU. Proc 34th IEEE EMBS, 2012. (PDF)
[3]
Lehman L, Saeed M, Long W, Lee J, Mark R. Risk stratification of ICU patients using topic models inferred from unstructured progress notes. AMIA Annu Symp Proc, Nov. 2012. (PDF)
[4]
Nemati S, Lehman L, Adams RP, Malhotra A. Discovering shared cardiovascular dynamics within a patient cohort. Proc 34th IEEE EMBS, 2012. (PDF)
2011
[1]
Lee J, Scott DJ, Villarroel M, Clifford GD, Saeed M, Mark RG. Open-access MIMIC-II database for intensive care research. Proc 33rd IEEE EMBS, 8315–8318, 2011. (PDF)
[2]
Mandelbaum T, Scott D, Lee J, Mark R, Howell M, Malhotra A, Talmor D. Validation of the AKIN criteria definition using high-resolution ICU data from the MIMIC-II database. Critical Care, 15(Suppl 1):105, 2011. (doi:10.1186/cc9525)
[3]
Moody BE. A rule-based method for ECG quality control. Comput Cardiol, 38:361–363, 2011. (PDF)
[4]
Moody G, Mark R, Goldberger A. PhysioNet: physiologic signals, time series, and related open source software for basic, clinical, and applied research. Proc 33rd IEEE EMBS, 8327–8330, 2011. (PDF)
[5]
Silva I, Lee J, Mark RG. Photoplethysmograph quality estimation through multichannel filtering. Proc 33rd IEEE EMBS, 4361–4364, 2011. (PDF)
[6]
Silva I, Moody G, Celi L. Improving the quality of ECGs collected using mobile phones: The PhysioNet/Computing in Cardiology Challenge 2011. Comput Cardiol, 38:273–276, 2011. (PDF)
2010
[1]
Celi L, Hug C, Villarroel 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.
[2]
Celi L, Villarroel 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.
[3]
Kashif FM, Heldt T, Novak V, Czosnyka M, Verghese GV. Model-based cerebrovascular monitoring. Oral contribution, American Heart Association 2010 International Stroke Conference, Feb. 2010.
[4]
Kashif F, Heldt T, Novak V, Czosnyka M, Verghese GC. Noninvasive cerebrovascular monitoring. Stroke, 41(e237), 2010.
[5]
Lee J, Mark RG. A hypotensive episode predictor for intensive care based on heart rate and blood pressure time series. Comput Cardiol, 37:81–84, Sept. 2010. (PDF)
[6]
Lehman L, Saeed M, Moody GB, Mark RG. Hypotension as a risk factor for acute kidney injury in ICU patients. Comput Cardiol, 37:1095–1098, Sept. 2010. (PDF)
[7]
Lojun S, Sauper C, Medow M, Long W, Mark R, Barzilay R. Investigating resuscitation code assignment in the intensive care unit using structured and unstructured data. AMIA Annu Symp Proc, 2010:467–71, Nov. 2010. (PDF) (PMID:21347022)
[8]
Moody GB. The PhysioNet/Computing in Cardiology Challenge 2010: Mind the gap. Comput Cardiol, 37:305–308, Sept. 2010. (PDF) (PMID:21766058)
[9]
Silva I. PhysioNet 2010 Challenge: A robust multi-channel adaptive filtering approach to the estimation of physiological recordings. Comput Cardiol, 37:313–316, Sept. 2010. (PDF)
2009
[1]
Chen T, Clifford GD, Mark RG. The effect of signal quality on six cardiac output estimators. Comput Cardiol, 36:197–200, Sept. 2009. (PDF) (PMID:20740055)
[2]
Hug CW, Szolovits P. ICU acuity: real-time models versus daily models. AMIA Annu Symp Proc, 2009:260–264, 2009. (PMID:20351861)
[3]
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.
[4]
Moody GB, Lehman LH. Predicting acute hypotensive episodes: The 10th annual PhysioNet/Computers in Cardiology Challenge. Comput Cardiol, 36:541–544, Sept. 2009. (PDF) (PMID:20842209)
[5]
Zhang Y, Hemond M. Uncovering the predictive value of minimum blood glucose through statistical analysis of a large clinical dataset. AMIA Annu Symp Proc, 2009:725–729, Nov. 2009. (PMID:20351948)
2008
[1]
Clifford GD, Nemati S, Sameni R. An artificial multi-channel model for generating abnormal electrocardiographic rhythms. Comput Cardiol, 35:773–776, Sept. 2008. (PDF) (PMID:20808722)
[2]
Khaustov A, Nemati S, Clifford GD. An open-source standard T-wave alternans detector for benchmarking. Comput Cardiol, 35:509–512, Sept. 2008. (PDF) (PMID:20798786)
[3]
Lehman LH, Saeed M, Moody GB, Mark RG. Similarity-based searching in multi-parameter time series databases. Comput Cardiol, 35:653–656, Sept. 2008. (PDF) (PMID:21179377)
[4]
Zhang Y. Predicting occurrences of acute hypoglycemia during insulin therapy in the intensive care unit. Conf Proc IEEE Eng Med Biol Soc, 3297–3000, 2008. (doi:10.1109/IEMBS.2008.4649909) (PMID:19163412)
2007
[1]
Hug C, Clifford GD. An analysis of the errors in recorded heart rate and blood pressure in the ICU using a complex set of signal quality metrics. Comput Cardiol, 34:641–645, Sept. 2007. (PDF)
[2]
Lehman LH, Kyaw TH, Clifford GD, Mark RG. A temporal search engine for a massive multi-parameter clinical information database. Comput Cardiol, 34:637–640, Sept. 2007. (PDF)
[3]
Long WJ. Lessons extracting diseases from discharge summaries. AMIA Annu Symp Proc, 478–482, Nov. 2007. (PDF) (PMID:18693882)
[4]
Villarroel M, Saeed A, Clifford GD, Moody GB, Mark RG. Finding relevant cases in large databases of signals, time series, and clinical data. Comput Cardiol, 34:265–268, Sept. 2007. (PDF)
2006
[1]
Clifford GD, Villarroel M. Model-based determination of QT intervals. Comput Cardiol, 33:357–360, 2006. (PDF)
[2]
Clifford GD, Aboukhalil A, Zong W, Sun JX, Janz B, Moody GB, Mark RG. Using the blood pressure waveform to reduce critical false ECG alarms. Comput Cardiol, 33:829–832, 2006. (PDF)
[3]
Heldt T, Chernyak YB. Analytical solution to minimal cardiovascular model. Comput Cardiol, 33:785–788, Sept. 2006. (PDF)
[4]
Heldt T, Long W, Verghese GC, Szolovits P, Mark RG. Integrating data, models, and reasoning in critical care. Proceedings of the 28th IEEE EMBS International Conference, 28:350–353, Sept. 2006. (PDF) (PMID:17946818)
[5]
Roberts JM, Parlikar TA, Heldt T, Verghese GC. Bayesian networks for cardiovascular monitoring. Proceedings of the 28th IEEE Engineering in Medicine and Biology Conference, 205–209, 2006. (PDF) (PMID:17946804)
[6]
Saeed M, Mark RG. A novel method for the efficient retrieval of similar multiparameter physiologic time series using Wavelet-based symbolic representations. AMIA Annu Symp Proc, 679–683, 2006. (PDF) (PMID:17238427)
[7]
Sibanda T, He T, Szolovits P, , Uzuner O. Syntactically-informed semantic category recognizer for discharge summaries. AMIA Annu Symp Proc, 714–718, Nov. 2006. (PMID:17238434)
[8]
Sun JX, Reisner AT, Mark RG. A signal abnormality index for arterial blood pressure waveforms. Comput Cardiol, 33:13–16, Sept. 2006. (PDF)
[9]
Zong W, Saeed M, Heldt T. A QT interval detection algorithm based on ECG curve length transform. Comput Cardiol, 33:377–380, 2006. (PDF)
2005
[1]
Clifford GD, McSharry PE. Method to filter ECGs and evaluate clinical parameter distortion using realistic ECG model parameter fitting. Comput Cardiol, 32:715–718, 2005. (PDF)
[2]
Clifford GD, Zapanta L, Janz BA, Mietus J, Mark RG. Segmentation of 24-hour cardiovascular activity using ECG-based sleep/sedation and noise metrics. Comput Cardiol, 32:595–598, 2005. (PDF)
[3]
Douglass M, Clifford GD, Reisner A, Long WJ, Moody GB, Mark RG. De-identification algorithm for free-text nursing notes. Comput Cardiol, 32:341–344, 2005. (PDF)
[4]
Janz BA, Clifford GD, Mark RG. A multivariable analysis of sedation, activity and agitation in critically ill patients using the Riker scale, ECG, blood pressure and respiratory rate. Comput Cardiol, 32:735–738, 2005. (PDF)
[5]
Janz BA, Frassica J, Baker C, Clifford GD, Mark RG. A new paradigm for managing information in the ICU in response to the 80 hour work week. New England Surgical Society, 86:118–119, 2005. (PDF)
[6]
Janz BA, Saeed M, Frassica J, Clifford GD, Mark RG. Development and optimization of a critical care alert and display (CCAD) system using retrospective ICU databases. AMIA Annu Symp Proc, 2005. (PDF) (PMID:16779281)
[7]
Long WJ. Extracting diagnoses from discharge summaries. AMIA Annu Symp Proc, 470–474, Oct. 2005. (PDF) (PMID:16779084)
[8]
Parlikar TA, Verghese GC. A simple cycle-averaged model for cardiovascular dynamics. Proceedings of the 27th Annual IEEE Engineering in Medicine and Biology Society Conference, 27:5490–5494, 2005. (PDF) (PMID:17281496)
[9]
Samar Z, Heldt T, Verghese G, Mark R. Model-based cardiovascular parameter estimation in the intensive care unit. Comput Cardiol, 32:635–638, 2005. (PDF)
[10]
Sun JX, Reisner AT, Saeed M, Mark RG. Estimating cardiac output from arterial blood pressure waveforms: a critical evaluation using the MIMIC II database. Comput Cardiol, 32:295–298, Sept. 2005. (PDF)
2004
[1]
Abdala OT, Clifford GD, Saeed M, Reisner A, Moody GB, Henry I, Mark RG. The Annotation Station: an open-source technology for annotating large biomedical databases. Comput Cardiol, 31:681–685, 2004. (PDF)
[2]
Clifford GD, McSharry PE. Generating 24-hour ECG, BP and respiratory signals with realistic linear and nonlinear clinical characteristics using a nonlinear model. Comput Cardiol, 31:709–712, 2004. (PDF)
[3]
Clifford GD, McSharry PE. A nonlinear artificial model for generating realistic correlated ECG, BP and respiration. 17th international EURASIP conference, 358–360, June 2004. Biosignal2004, Brno, Czech Republic. (PDF)
[4]
Clifford GD, McSharry PE. A realistic coupled nonlinear artificial ECG, BP, and respiratory signal generator for assessing noise performance of biomedical signal processing algorithms. Proc of SPIE International Symposium on Fluctuations and Noise, 5467(34):290–301, 2004. (PDF)
[5]
Douglass M, Clifford GD, Reisner A, Moody GB, Mark RG. Computer-assisted de-identification of free text in the MIMIC II database. Comput Cardiol, 31:341–344, 2004. (PDF)
[6]
Heldt T, Mark RG. Scaling cardiovascular parameters for population simulations. Comput Cardiol, 31:133–136, 2004. (PDF)
[7]
McSharry PE, Clifford GD. Open-source software for generating electrocardiogram signals. ARXIV preprints, 0406017, 2004. (PDF)
[8]
Shu J, Clifford GD, Saeed M, Long WJ, Moody GB, Szolovits P, Mark RG. An open-source, interactive Java-based system for rapid encoding of significant events in the ICU using the Unified Medical Language System. Comput Cardiol, 31:197–200, 2004. (PDF)

Books and book chapters

2013
[1]
Heldt T, Verghese GC, Mark RG. Mathematical modeling of physiological systems. In Batzel JJ, Bachar M, Kappel F, editors, Mathematical Modeling and Validation in Physiology: Applications to the Cardiovascular and Respiratory Systems, Lecture Notes in Mathematics, chapter 2, 21–41. Springer Verlag, 2013. (PDF)
2011
[1]
Celi LA, Tang RJ, Villarroel MC, Davidzon G, Lester WT, Chueh HC. In Chyu MC, editor, Advances in Critical Care Engineering, 171–83. Multi-Science Publishing Co., Ltd., 2011.
[2]
Heldt T, Verghese GC, Mark RG. Mathematical modeling of physiological systems. In Batzel J, Kappel F, Bachar M, editors, Biomedical Modelling and Cardiovascular-Respiratory Control: Theory and Practice, Lecture Notes in Mathematics, chapter 1. Springer Verlag, 2011. Accepted for publication.
2009
[1]
Clifford GD, Villarroel M, Scott DJ. User Guide and Documentation for the MIMIC II Database, Apr. 2009. Rev: 179. Available from: http://mimic.mit.edu/documentation.html.
2006
[1]
Clifford GD. Ch 3: ECG Statistics, Noise, Artifacts, and Missing Data in Advanced Methods and Tools for ECG Analysis, In: Clifford et al. [4]. 55–99.
[2]
Clifford GD. Ch 5: Linear Filtering Methods in Advanced Methods and Tools for ECG Analysis, In: Clifford et al. [4]. 135–170.
[3]
Clifford GD, Oefinger MB. Ch 2: ECG Acquisition, Storage, Transmission, and Representation in Advanced Methods and Tools for ECG Analysis, In: Clifford et al. [4]. 27–53.
[4]
Clifford GD, Azuaje F, McSharry PE, editors. Advanced Methods and Tools for ECG Analysis. 1st ed., Norwood, MA, USA: Artech House; 2006. (Engineering in Medicine and Biology; 1).
[5]
McSharry PE, Clifford GD. Ch 4: Models for ECG and RR interval Processes in Advanced Methods and Tools for ECG Analysis, In: Clifford et al. [4]. 101–133.
[6]
McSharry PE, Clifford GD. Ch 6: Nonlinear Filtering Methods in Advanced Methods and Tools for ECG Analysis, In: Clifford et al. [4]. 171–196.
[7]
Reisner AT, Clifford GD, Mark RG. Ch 1: The Physiological Basis of the Electrocardiogram in Advanced Methods and Tools for ECG Analysis, In: Clifford et al. [4]. 1–25.
[1]
Francis SE. Continuous estimation of cardiac output and arterial blood resistance from arterial blood pressure using a third-order Windkessel model. M.Eng. Thesis, Department of Electrical Engineering and Computer Science, Massachusetts Institute of Technology, Cambridge, MA, June 2007. (PDF)
[1]
Sibanda T. Was the patient cured? Understanding semantic categories and their relationships in patient records. M.Eng. Thesis, Department of Electrical Engineering and Computer Science, Massachusetts Institute of Technology, Cambridge, MA, Sept. 2006. (PDF)
[1]
Renjifo CA. Exploration, processing, and visualization of physiological signals from the ICU. M.Eng. Thesis, Department of Electrical Engineering and Computer Science, Massachusetts Institute of Technology, Cambridge, MA, June 2005. (PDF)
MIMIC-III v1.4 documentation