Zeeshan Syed
 
  Adjunct Associate Professor
  University of Michigan
  Department of Electrical Engineering and Computer Science
  Education: PhD, MIT EECS and Harvard Medical School

Selected Publications (2009 - Present)

  • Syed Z, Moscucci M, Share D, Gurm H. Predicting Emergency Coronary Artery Bypass Graft Following PCI: Application of a Computational Model to Refer Patients to Hospitals With and Without Onsite Surgical Backup, Open Heart, 2015.

  • Harada N, Saeed M, Baveja S, Syed Z. Evaluating the Utility of a Multi-factorial Computational Model and Simplified Multi-factorial Risk Score to Predict Postoperative Atrial Fibrillation Following Cardiothoracic Surgery, American Heart Association (AHA) Scientific Sessions, 2015.

  • Van Esbroeck A, Saeed M, Scirica B, Stultz C, Guttag J, Baveja S, Morrow D, Syed Z, Looking Beyond Left Ventricular Ejection Fraction: Investigating the Utility of Multi-Factorial Computational Modeling to Predict Sudden Cardiac Death Following Acute Coronary Syndrome in the MERLIN-TIMI36 Trial, American Heart Association (AHA) Scientific Sessions, 2015.

  • Spadafore M, Syed Z, Rubinfeld I. Automatic detection of benzodiazepine dosage in ICU patients through a computational analysis of electrocardiographic data, American Medical Informatics Association (AMIA) Annual Symposium, 2015.

  • Goyal D, Syed Z, Wiens J. Predicting disease progression in Alzheimer’s disease. Meaningful Use of Complex Medical Data (MUCMD), 2015.

  • Van Esbroeck A, Smith L, Syed Z, Singh S, Karam Z. Multi-Task Seizure Detection: Addressing Inter-Patient and Intra-Patient Variations in Seizure Morphologies, Machine Learning, 2015.

  • Karamanos E, Van Esbroeck A, Syed Z, Rubinfeld I, Quality and outcomes reporting in trauma using ICD codes, Journal of Surgical Research, 2015.

  • Van Esbroeck A, Rubinfeld I, Hall B, Syed Z. Quantifying surgical complexity with machine learning: looking beyond patient factors to improve surgical models, Surgery, 2014.

  • Liu Y, Syed Z, Scirica B, Morrow D, Guttag J, Stultz C, ECG morphological variability in beat-space for risk stratification after acute coronary syndrome, Journal of the American Heart Association, 2014.

  • Chia C, Syed Z. Scalable noise mining in long-term electrocardiographic time-series to predict death following heart attacks. ACM Conference on Knowledge Discovery and Data Mining (SIGKDD), 2014.

  • Van Esbroeck A, Singh S, Rubinfeld I, Syed Z. Evaluating trauma patients: addressing missing covariates using joint optimization. Association for the Advancement of Artificial Intelligence (AAAI) Conference, 2014.

  • Chia C, Blum J, Karam Z, Singh S, Syed Z, Predicting postoperative atrial fibrillation from independent ECG components. Association for the Advancement of Artificial Intelligence (AAAI) Conference, 2014.

  • McCann M, Thompson D, Syed Z, Huggins J. Electrode subset selection methods for an EEG-based P300 brain-computer interface, Disability and Rehabilitation, 2014.

  • Lee G, Gurm H, Syed Z. Predicting complications of percutaneous coronary intervention using a novel support vector method, Journal of the American Medical Informatics Association, 2013.

  • McMillan S, Bauman Z, Horst M, Gassner M, Blyden D, Syed Z, Rubinfeld I. Computational prediction of atrial fibrillation in the ICU using early admission vital signs data. Society of Critical Care Medicine (SCCM) Congress, 2013.

  • McMillan S, Gassner M, Horst H, Bauman Z, Blyden D, Syed Z, Rubinfeld I. Predicting mortality in the ICU through the application of machine learning. Society of Critical Care Medicine (SCCM) Congress, 2013.

  • Tsiouris A, Velanovich V, Whitehouse S, Syed Z, Rubinfeld I. Surgical acuity models: less data is more, American Journal of Medical Quality, 2013.

  • Chia C, Rubinfeld I, Scirica B, McMillan S, Gurm H, Syed Z. Looking beyond historical patient outcomes to improve clinical models, Science Translational Medicine (Science/AAAS Journal), 2012.

  • Shah R, Velanovich V, Syed Z, Swartz A, Rubinfeld I. Limitations of patient-associated comorbidity models in predicting postoperative morbidity and mortality in pancreatic operations, Journal of Gastrointestinal Surgery, 2012.

  • Lee G, Gurm H, Syed Z. Predicting complications for percutaneous coronary intervention using a novel support vector method. IEEE Healthcare Informatics, Imaging, and Systems Biology (HISB) Conference, San Diego, CA, 2012.

  • Syed Z, Gurm H. Advanced computational modeling for therapeutic decision-making in patients undergoing percutaneous coronary intervention: a focus on gastrointestinal bleeding. American Heart Association (AHA) Scientific Sessions, 2012.

  • Chia C, Saeed M, Stultz C, Guttag J, Syed Z. Association of morphologic variability with 6 month mortality in a general cohort of intensive care unit patients: results from the MIMICII database. American Heart Association (AHA) Scientific Sessions, 2012.

  • Van Esbroeck A, Chia C, Syed Z. Heart rate topic models. Association for the Advancement of Artificial Intelligence (AAAI) Conference, 2012.

  • Esbroeck A, Syed Z. Assessing cardiac health through topic models, Computers in Cardiology (CinC), 2012.

  • McMillan S, Chia C, Esbroeck A, Lee G, Karam Z, Rubinfeld I, Syed Z. ICU mortality prediction using time series motifs, Computers in Cardiology (CinC), 2012.

  • McMillan S, Rubinfeld I, Syed Z. Predicting atrial fibrillation from intensive care unit numerics data, Computers in Cardiology Conference (CinC), 2012.

  • Balakrishnan G, Syed Z. Active learning methodologies for epileptic seizure onset detection. Artificial Intelligence in Statistics (AISTATS), 2012.

  • Chia C, Karam Z, Lee G, Rubinfeld I, Syed Z. Improving surgical models through one/two class learning. IEEE Engineering in Medicine and Biology Conference (EMBC), 2012.

  • Van Esbroeck A, Mohanty S, Patton P, Syed Z, Rubinfeld I. Using diagnostic and procedural codes to assess quality and outcomes, American College of Surgeons (ACS) Clinical Congress, 2012.

  • Van Esbroeck A, Mohanty S, Patton P, Syed Z, Rubinfeld I. Predicting mortality in trauma patients: the discriminative accuracy of pre-hospital physiological variables vs. the current registry standard TRISS, American College of Surgeons (ACS) Clinical Congress, 2012.

  • Chen X, Syed Z, Hero A. EEG spatial decoding with shrinkage optimized directed information assessment. IEEE International Conference on Speech Acoustics and Signal Processing (ICASSP), 2012.

  • Syed Z, Ali M, Scirica B, Mohanavelu S, Morrow D, Stultz C, Guttag J. Association of electrocardiographic markers with congestive heart failure following non-ST-elevation acute coronary syndrome: results from the MERLIN-TIMI 36 trial. American College of Cardiology (ACC) Scientific Sessions, 2012.

  • Syed Z, Stultz C, Scirica B, Guttag J. Computationally generated cardiac biomarkers for risk stratification after acute coronary syndrome, Science Translational Medicine (Science/AAAS Journal), 2011.

  • Syed Z, Guttag J. Unsupervised similarity-based risk stratification for cardiovascular events using long-term time-series data. Journal of Machine Learning Research, 2011.

  • Syed Z, Rubinfeld I, Patton J, Ritz J, Jordan J, Doud A, Velanovich V. Using procedural codes to supplement surgical risk adjustment. Journal of the American College of Surgeons, 2011.

  • Syed Z, Rubinfeld I. Scaling unsupervised stratification to clinical datasets. International Journal on Knowledge Discovery in Bioinformatics, 2011.

  • Jang K, Balakrishnan G, Syed Z, Verma N. Scalable customization of atrial fibrillation detection in cardiac devices, IEEE Engineering in Medicine and Biology Conference (EMBC), 2011.

  • Chia C, Syed Z. Computationally generated cardiac biomarkers: heart rate patterns to predict death following coronary attacks. SIAM International Conference on Data Mining (SDM), 2011.

  • Syed Z, Gurm H. Risk stratification for emergency coronary artery bypass graft following percutaneous coronary intervention. European Society of Cardiology (ESC) Annual Congress, 2011.

  • Syed Z, Brooks J, Chun H, O'Donnell L, Deldin P, McInnis M. Computational discrimination of bipolar disorder and schizophrenia. Society of Biological Psychiatry (SOBP) Annual Scientific Program and Convention, 2011.

  • Shah R, Velanovich V, Syed Z, Swartz A, Rubinfeld I. Accuracy of NSQIP for modeling complex pancreatic operations. The Pancreas Club (TPC), 2011.

  • Syed Z, Stultz C, Kellis M, Indyk P, Guttag J. Motif discovery in physiological datasets, ACM Transactions on Knowledge Discovery in Data, 2010.

  • Syed Z, Guttag J. Identifying patients at risk of major cardiac events using symbolic mismatch. Neural Information Processing Systems (NIPS), 2010.

  • Syed Z, Scirica B, Mohanavelu S, Morrow D, Stultz C, Guttag J. Association of heart rate turbulence, deceleration capacity and morphologic variability with sudden cardiac death following non-ST-elevation acute coronary syndrome: results from the MERLIN-TIMI 36 trial. American Heart Association (AHA) Scientific Sessions, 2010.

  • Syed Z, Saeed M, Rubinfeld I. Stratifying patients without labeled training data. American Medical Informatics Association (AMIA) Annual Symposium, 2010.

  • Rubinfeld I, Farooq M, Velanovich V, Syed Z. Predicting surgical risk: how much data is enough? American Medical Informatics Association (AMIA) Annual Symposium, 2010.

  • Chia C, Syed Z. Using adaptive downsampling to compare time series with warping. IEEE International Conference on Data Mining (ICDM) Workshop on Large-scale Analytics for Complex Instrumented Systems, 2010.

  • Balakrishnan G, Syed Z. Scalable personalized medicine with active learning: patient-specific detection of epileptic waveforms with minimum labeled data. ACM Health Informatics Symposium (IHI), 2010.

  • Hassan S, Syed Z. From Netflix to heart attacks: collaborative filtering in medical datasets. ACM Health Informatics Symposium (IHI), 2010.

  • Syed Z, Rubinfeld I, Patton P, Ritz J, Jordan J, Doud A, Velanovich V. Using diagnostic codes for surgical risk adjustment: a non-parametric learning approach. American College of Surgeons (ACS) Clinical Congress, 2010.

  • Falvo A, Horst M, Patton J, Blyden D, Velanovich V, Syed Z, Rubinfeld I. Emergency surgery in the elderly: is age a dose dependant variable or just associated with comorbidities? American College of Surgeons (ACS) Clinical Congress, 2010.

  • Balakrishnan G, Shoeb A, Syed Z. Creating symbolic representations of electroencephalographic signals. IEEE Engineering in Medicine and Biology Conference (EMBC), 2010.

  • Sinha S, Hooi F, Syed Z, Pinksy R, Thomenius K, Carson P. Machine learning for noise removal on breast ultrasound images. IEEE International Ultrasonics Symposium (IUS), 2010.

  • Syed Z, Rubinfeld I. Unsupervised stratification in clinical datasets. International Conference on Machine Learning (ICML), 2010.

  • Syed Z, Scirica B, Morrow D, Stultz C, Guttag J. Heart rate turbulence and deceleration capacity are associated with myocardial infarction following non-ST-elevation acute coronary syndrome. Heart Rhythm Society (HRS) Scientific Sessions, 2010.

  • Syed Z, Scirica B, Morrow D, Stultz C, Guttag J. Association of morphologic variability with ventricular tachycardiac and ventricular pause in patients treated with ranolazine or placebo following non-ST-elevation acute coronary syndrome. American College of Cardiology (ACC) Scientific Sessions, 2010.

  • Syed Z, Wolfberg A, Guttag J. Association of morphologic entropy in fetal electrocardiograms with inflammatory cytokines and markers of neuronal injury. Society for Maternal-Fetal Medicine (SMFM) Annual Meeting, 2010.

  • Syed Z, Indyk P, Guttag J. Learning approximate sequential patterns for classification. Journal of Machine Learning Research, 2009.

  • Syed Z, Sung P, Scirica B, Morrow D, Stultz C, Guttag J. Spectral energy of ECG morphologic differences to predict death. Cardiovascular Engineering, 2009.

  • Syed Z, Scirica B, Mohanavelu S, Sung P, Michelson E, Cannon C, Stone P, Stultz C, Guttag J. Relation of death within 90 days of non-ST-elevation acute coronary syndrome to variability in electrocardiographic morphology. American Journal of Cardiology, 2009.

  • Wolfberg A, DeRosier D, Roberts T, Syed Z, Clifford G, Acker D, DuPlessir A. A comparison of subjective and mathematical estimates of fetal heart rate variability. Journal of Maternal Fetal and Neonatal Medicine, 2009.