Exploring guidelines for classification of major heart failure subtypes by using machine learning

Clinical Medicine Insights: Cardiology

Volumn 9, Issue , 2015, Pages 57-71

  Alonso Betanzos, Amparo ^a   Bolón Canedo, Verónica ^a   Heyndrickx, Guy R ^b   Kerkhof, Peter L M ^c  

^a UNIVERSITY OF A CORUÑA   (Spain)

^b CARDIOVASCULAR CENTER   (Belgium)

^c VU UNIVERSITY MEDICAL CENTER   (Netherlands)

Author keywords

Ejection fraction; Heart failure phenotype; Support vector machine; Volume regulation graph

Indexed keywords

ARTICLE; CLASSIFICATION ALGORITHM; CLINICAL ARTICLE; CONTROLLED STUDY; DISEASE CLASSIFICATION; END SYSTOLIC VOLUME; HEART EJECTION FRACTION; HEART FAILURE; HEART FAILURE WITH PRESERVED EJECTION FRACTION; HEART LEFT VENTRICLE FUNCTION; HEART RIGHT VENTRICLE ENDSYSTOLIC VOLUME; HEART VOLUME; HUMAN; MACHINE LEARNING; MONTE CARLO METHOD; PRACTICE GUIDELINE; SUPPORT VECTOR MACHINE;

EID: 84930504805     PISSN: 11795468     EISSN: 11795468     Source Type: Journal    
DOI: 10.4137/CMC.S18746     Document Type: Article

References (56)

1. Amsterdamska A, Hiddinga A. The analyzed body. In: Cooter E, Pickstone J, eds. Companion to Medicine in the Twentieth Century. (Chap. 27). London: Routledge; 2003:420.
2. CDC. Heart Failure Fact Sheet. Atlanta, GA: CDC; 2013. [30329–4027 USA].
3. Alba AC, Agoritsas T, Jankowski M, et al. Risk prediction models for mortality in ambulatory patients with heart failure: a systematic review. Circ Heart Fail. 2013;6(5):881–9.
4. Chan MM, Lam CS. How do patients with heart failure with preserved ejection fraction die? Eur J Heart Fail. 2013;15(6):604–13.
5. Clarke CL, Grunwald GK, Allen LA, et al. Natural history of left ventricular ejection fraction in patients with heart failure. Circ Cardiovasc Qual Outcomes. 2013;6:680–6.
6. Gori M, Lam CS, Gupta DK, et al. Sex-specific cardiovascular structure and function in heart failure with preserved ejection fraction. Eur J Heart Fail. 2014;16(5):535–42.
7. Kamp O, Metra M, De Keulenaer GW, et al. Effect of the long-term administration of nebivolol on clinical symptoms, exercise capacity and left ventricular function in patients with heart failure and preserved left ventricular ejection fraction: background, aims and design of the ELANDD study. Clin Res Cardiol. 2010;99(2):75–82.
8. Shah AM, Shah SJ, Anand IS, et al. Cardiac structure and function in heart failure with preserved ejection fraction: baseline findings from the echocardiographic study of the treatment of preserved cardiac function heart failure with an aldosterone antagonist trial. Circ Heart Fail. 2014;7(1):104–115. [Originally published November 18, 2013].
9. Zile MR, Brutsaert DL. New concepts in diastolic dysfunction and diastolic heart failure: part I: diagnosis, prognosis, and measurements of diastolic function. Circulation. 2002;105(11):1387–93.
10. Little WC, Zile MR. HFpEF: cardiovascular abnormalities not just comorbidities. Circ Heart Fail. 2012;5:669–71.
11. Lindenfeld J, Albert NM, Boehmer JP, et al. HFSA 2010 comprehensive heart failure practice guideline. J Card Fail. 2010;16:e1–94.
12. Kerkhof PLM. Characterizing heart failure in the ventricular volume domain. Clin Med Insights Cardiol. 2015;9(S1):1–21.
13. Kerkhof PLM, Kresh JY, Li JK-J, Heyndrickx GR. Left ventricular volume regulation in heart failure with preserved ejection fraction. Physiol Rep. 2013;1(2):e0007.
14. Buckberg GD. Congestive heart failure: treat the disease, not the symptom–return to normalcy. J Thorac Cardiovasc Surg. 2001;121:628–37.
15. Paulus WJ, Tschöpe C, Sanderson JE, et al. How to diagnose diastolic heart failure: a consensus statement on the diagnosis of heart failure with normal left ventricular ejection fraction by the Heart Failure and Echocardiography Associations of the European Society of Cardiology. Eur Heart J. 2007;28:2539.
16. McMurray JJ, Adamopoulos S, Anker SD, et al; ESC Committee for Practice Guidelines. ESC guidelines for the diagnosis and treatment of acute and chronic heart failure 2012: the Task Force for the Diagnosis and Treatment of Acute and Chronic Heart Failure 2012 of the European Society of Cardiology. Developed in collaboration with the Heart Failure Association (HFA) of the ESC. Eur Heart J. 2012;33(14):1787–847.
17. Dunlay SM, Roger VL, Weston SA, Jiang R, Redfield MM. Longitudinal changes in ejection fraction in heart failure patients with preserved and reduced ejection fraction. Circ Heart Fail. 2012;5(6):720–6.
18. Beringer JY, Kerkhof PLM. A unifying representation of ventricular volumetric indexes. IEEE Trans Biomed Eng. 1998;45:365–71.
19. Flach P. Machine Learning: The Art and Science of Algorithms that Make Sense of Data. New York, NY: Cambridge University Press; 2014.
20. Shalev-Shwartz S, Ben-David S. Understanding Machine Learning: From Theory to Algorithms. Cambridge: Cambridge University Press; 2014.
21. Kerkhof PLM, Baan J, Buis B, Arntzenius AC. Relations between ejection fraction and ventricular volume, and their alteration by chronic beta-blockade. Br Heart J. 1981;46:17–22.
22. Yancy CW, Fonarow GC, Albert NM, et al. Influence of age and sex on the delivery of guideline-recommended heart failure care in the outpatient cardiology practice setting: findings from IMPROVE HF. Am Heart J. 2009;157:754.e−762.e.
23. Robotham JL, Takata M, Berman M, Harasawa Y. Ejection fraction revisited. Anesthesiology. 1991;74:172–83.
24. Manisty CH, Francis DP. Ejection fraction: a measure of desperation? Heart. 2008;94:400–1.
25. Marmor A, Jain D, Zaret B. Beyond ejection fraction. J Nucl Cardiol. 1994;1:477–86.
26. Hugenholtz PG, Wagner HR. Assessment of myocardial function in congenital heart disease. In: Adams FH, Swan HJC, Hall VE, eds. Pathophysiology of Congenital Heart Diseases. Berkeley: University of California Press; 1970:201–30.
27. Kerkhof PLM, Li JK-J, Kresh JY. An analytical expression for the regulation of ventricular volume in the normal and diseased heart. Cardiovasc Eng. 2002;2:37–48.
28. Li J, Becher PM, Blankenberg S, Westermann D. Current treatment of heart failure with preserved ejection fraction: should we add life to the remaining years or add years to the remaining life? Cardiol Res Pract. 2013;2013:130724. [Published online 2013 October 24].
29. Penicka M, Bartunek J, Trakalova H, et al. Heart failure with preserved ejection fraction in outpatients with unexplained dyspnea: a pressure-volume loop analysis. J Am Coll Cardiol. 2010;55:1701–10.
30. Patel HC, Hayward C, di Mario C, Cowie MR, Lyon AR, Rosen SD. Heart failure with preserved ejection fraction: the impact of stricter definitions. Eur J Heart Fail. 2014;16(7):767–71.
31. Cristianini N, Shawe-Taylor J. An Introduction to Support-Vector Machines and Other Kernel-based Learning Methods. New York, NY: Cambridge University Press; 2000.
32. Hall M, Frank E, Holmes G, Pfahringer B, Reutemann P, Witten IH. The WEKA Data Mining Software: an update. SIGKDD Explor. 2009;11(1):10–8.
33. Witten IH, Frank E, Hall M. Data Mining: Practical Machine Learning Tools and Techniques. Morgan Kaufmann Publishers, Third Edition (The Morgan Kaufmann Series in Data Management Systems), January, 2011.
34. Bramer M. Principles of Data Mining. London: Springer-Verlag; 2013.
35. Wu J, Roy J, Stewart WF. Prediction modelling using EHR data: challenges, strategies and a comparison of machine learning approaches. Med Care. 2010;48:S106–13.
36. Austin PC, Tu JV, Ho JE, Levy D, Lee DS. Using methods from the data mining and machine learning literature for disease classification and prediction: a case study examining classification of heart failure subtypes. J Clin Epidemiol. 2013;66:398–407.
37. Shah SJ, Katz DH, Selvaraj S, et al. Phenomapping for novel classification of heart failure with preserved ejection fraction. Circulation. 2015;131(3):269–79.
38. MacQueen JB. Some methods for classification and analysis of multivariate observations. In: Proceedings of the 5th Berkeley Symp. On Mathematical Statistics and Probability. Berkeley: University of California Press; 1967:281–97.
39. Dempster AP, Laird NM, Rubin DB. Maximum likelihood from incomplete data via the EM algorithm. J R Stat Soc Series B Stat Methodol. 1977;39(1):1–38.
40. Noam Slonim, Nir Friedman, Naftali Tishby. Unsupervised document classification using sequential information maximization. Proceedings of the 25th International ACM SIGIR Conference on Research and Development in Information Retrieval. 2002:129–36.
41. Shalev-Shwartz S, Singer Y, Srebro N. PEGASOS: Primal Estimated sub-GrAdient SOlver for SVM. Proceedings of 24th International Conference on Machine Learning. 2007:807–14.
42. Keerthi SS, Shevade SK, Bhattacharyya C, Murthy KRK. Improvements to Platt’s SMO algorithm for SVM classifier design. Neural Comput. 2001;13(3):637–49.
43. Aha D, Kibler D. Instance-based learning algorithms. Mach Learn. 1991;6:37–66.
44. Martin B. Instance-Based Learning: Nearest Neighbor with Generalization [Ph.D. thesis]. Hamilton, New Zealand; 1995.
45. Holte RC. Very simple classification rules perform well on most commonly used datasets. Mach Learn. 1993;11:63–91.
46. Quinlan R. C4.5: Programs for Machine Learning. San Mateo, CA: Morgan Kaufmann Publishers; 1995.
47. Frank E, Witten IH. Generating accurate rule sets without global optimization. In: Proceedings of Fifteenth International Conference on Machine Learning; 1998:144–51.
48. John GH, Langley P. Estimating continuous distributions in Bayesian classifiers. In: Eleventh Conference on Uncertainty in Artificial Intelligence. San Mateo; 1995:338–45.
49. Van Gestel T, Suykens JAK, Baesens B, et al. Benchmarking least squares support vector machine classifiers. Mach Learn. 2004;54:5–32.
50. Kaila K, Haykowsky MJ, Thompson RB, Paterson DI. Heart failure with preserved ejection fraction in the elderly: scope of the problem. Heart Fail Rev. 2012;17(4–5):555–62.
51. Kerkhof PLM, Li JK-J, Kresh JY. End-systolic volume as primary determinant of ejection fraction in HFpEF versus HFrEF. Europ. J. Heart Fail. 2013;15 (Suppl. 1): ISSN 1388–98424 (abstract # 1783).
52. Zile MR, Baicu CF, Ikonomidis J, et al. Myocardial stiffness in patients with heart failure and a preserved ejection fraction: contributions of collagen and titin. Circulation. 2015.
53. Hamdani N, Paulus WJ, van Heerebeek L, et al. Distinct myocardial effects of beta-blocker therapy in heart failure with normal and reduced left ventricular ejection fraction. Eur Heart J. 2009;30(15):1863–72.
54. Kerkhof PLM, Alonso-Betanzos A, Moret-Bonillo V. Medical Artificial Intelligent Systems. In: Webster’s Encyclopedia Electric and Electronic Engineering. New York: Wiley & Sons; 1999;12:498–508.
55. Agresti A. An Introduction to Categorical Data Analysis. New York: John Wiley and Sons; 1996.
56. Sauerbrei W. The use of resampling methods to simplify regression models in medical statistics. Appl Statist. 1999;48:313–29.