Cardiovascular risk stratification with heart rate topics

Computing in Cardiology

Volumn 39, Issue , 2012, Pages 609-612

  Van Esbroeck, Alexander ^a   Syed, Zeeshan ^a  

^a UNIVERSITY OF MICHIGAN   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

ACUTE CORONARY SYNDROMES; CARDIOVASCULAR RISK; HEART RATE VARIABILITY; INTERPRETABLE REPRESENTATION; LEFT VENTRICULAR EJECTION FRACTION; PATIENT POPULATION; RISK STRATIFICATION; TEXT ANALYSIS;

CARDIOLOGY; ELECTROCARDIOGRAPHY;

HEART;

EID: 84875655844     PISSN: 23258861     EISSN: 2325887X     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper

References (11)

1. Malik M. Heart rate variability. Annals of Noninvasive Electrocardiology 1996; 1(2): 151-181.
2. Bauer A, Kantelhardt J, Barthel P, Schneider R, Mäkikallio T, Ulm K, Hnatkova K, Schömig A, Huikuri H, Bunde A, et al. Deceleration capacity of heart rate as a predictor of mortality after myocardial infarction: cohort study. The Lancet 2006; 367(9523): 1674-1681.
3. Chia C, Syed Z. Computationally generated cardiac biomarkers: Heart rate patterns to predict death following coronary attacks. In SIAM International Conference on Data Mining. 2011.
4. Syed Z, Stultz C, Scirica B, Guttag J. Computationally generated cardiac biomarkers for risk stratification after acute coronary syndrome. Science Translational Medicine 2011; 3(102): 102ra95-102ra95.
5. Van Esbroeck A, Chia CC, Syed Z. Heart rate topic models. In Association for the Advancement of Artificial Intelligence. 2012.
6. Hamilton P, Tompkins W. Quantitative investigation of qrs detection rules using the mit/bih arrhythmia database. Biomedical Engineering IEEE Transactions on 1986; (12): 1157-1165.
7. Zong W, Moody G, Jiang D. A robust open-source algorithm to detect onset and duration of qrs complexes. In Computers in Cardiology. Ieee, 2003; 737-740.
8. Lin J, Keogh E, Lonardi S, Chiu B. A symbolic representation of time series, with implications for streaming algorithms. In Proceedings of the 8th ACM SIGMOD Workshop on Research Issues in Data Mining and Knowledge Discovery. ACM, 2003; 2-11.
9. Blei D, Ng A, Jordan M. Latent dirichlet allocation. The Journal of Machine Learning Research 2003; 3: 993-1022.
10. Antman E, Cohen M, Bernink P, McCabe C, Horacek T, Papuchis G, Mautner B, Corbalan R, Radley D, Braunwald E. The timi risk score for unstable angina/non-st elevation mi. JAMA the journal of the American Medical Association 2000; 284(7): 835.
11. Pencina M, D'Agostino Sr R, D'Agostino Jr R, Vasan R. Evaluating the added predictive ability of a new marker: from area under the roc curve to reclassification and beyond. Statistics in medicine 2008; 27(2): 157-172.