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Volumn 16, Issue 4, 2010, Pages 253-259

Application of support vector machine for prediction of medication adherence in heart failure patients

Author keywords

Heart failure; Medication; Patient adherence; Support vector machine

Indexed keywords


EID: 84878720783     PISSN: 20933681     EISSN: 2093369X     Source Type: Journal    
DOI: 10.4258/hir.2010.16.4.253     Document Type: Article
Times cited : (139)

References (27)
  • 1
    • 34249753618 scopus 로고
    • Support-vector networks
    • Cortes C, Vapnik V. Support-vector networks. Mach Learn 1995; 20: 273-297.
    • (1995) Mach Learn , vol.20 , pp. 273-297
    • Cortes, C.1    Vapnik, V.2
  • 2
    • 58149265688 scopus 로고    scopus 로고
    • Support vector machine versus logistic regression modeling for prediction of hospital mortality in critically ill patients with haematological malignancies
    • Verplancke T, Van Looy S, Benoit D, Vansteelandt S, Depuydt P, De Turck F, Decruyenaere J. Support vector machine versus logistic regression modeling for prediction of hospital mortality in critically ill patients with haematological malignancies. BMC Med Inform Decis Mak 2008; 8: 56.
    • (2008) BMC Med Inform Decis Mak , vol.8 , pp. 56
    • Verplancke, T.1    van Looy, S.2    Benoit, D.3    Vansteelandt, S.4    Depuydt, P.5    de Turck, F.6    Decruyenaere, J.7
  • 3
    • 77950819072 scopus 로고    scopus 로고
    • Application of support vector machine modeling for prediction of common diseases: The case of diabetes and pre-diabetes
    • Yu W, Liu T, Valdez R, Gwinn M, Khoury MJ. Application of support vector machine modeling for prediction of common diseases: the case of diabetes and pre-diabetes. BMC Med Inform Decis Mak 2010; 10: 16.
    • (2010) BMC Med Inform Decis Mak , vol.10 , pp. 16
    • Yu, W.1    Liu, T.2    Valdez, R.3    Gwinn, M.4    Khoury, M.J.5
  • 5
    • 60049086433 scopus 로고    scopus 로고
    • Improving the performance of physiologic hot flash measures with support vector machines
    • Thurston RC, Matthews KA, Hernandez J, De La Torre F. Improving the performance of physiologic hot flash measures with support vector machines. Psychophysiology 2009; 46: 285-292.
    • (2009) Psychophysiology , vol.46 , pp. 285-292
    • Thurston, R.C.1    Matthews, K.A.2    Hernandez, J.3    De la Torre, F.4
  • 7
    • 33947390929 scopus 로고    scopus 로고
    • Mining protein function from text using term-based support vector machines
    • Rice SB, Nenadic G, Stapley BJ. Mining protein function from text using term-based support vector machines. BMC Bioinformatics 2005; 6 Suppl 1: S22.
    • (2005) BMC Bioinformatics , vol.1 , Issue.6 SUPPL.
    • Rice, S.B.1    Nenadic, G.2    Stapley, B.J.3
  • 8
    • 37249037155 scopus 로고    scopus 로고
    • Medication adherence in heart failure
    • Hauptman PJ. Medication adherence in heart failure. Heart Fail Rev 2008; 13: 99-106.
    • (2008) Heart Fail Rev , vol.13 , pp. 99-106
    • Hauptman, P.J.1
  • 10
    • 77951228229 scopus 로고    scopus 로고
    • Barriers to medication adherence in chronic heart failure patients during home visits
    • Toh CT, Jackson B, Gascard DJ, Manning AR, Tuck EJ. Barriers to medication adherence in chronic heart failure patients during home visits. J Pharm Prac Res 2010; 40: 27-30.
    • (2010) J Pharm Prac Res , vol.40 , pp. 27-30
    • Toh, C.T.1    Jackson, B.2    Gascard, D.J.3    Manning, A.R.4    Tuck, E.J.5
  • 11
    • 70349757495 scopus 로고    scopus 로고
    • American Heart Association Council on Cardiovascular Nursing
    • American Heart Association Council on Cardiovascular Nursing; American Heart Association Council on Clinical Cardiology; American Heart Association Council on Nutrition, Physical Activity, and Metabolism; American Heart Association Interdisciplinary Council on Quality of Care and Outcomes Research. State of the science: promoting self-care in persons with heart failure: a scientific statement from the American Heart Association
    • Riegel B, Moser DK, Anker SD, Appel LJ, Dunbar SB, Grady KL, Gurvitz MZ, Havranek EP, Lee CS, Lindenfeld J, Peterson PN, Pressler SJ, Schocken DD, Whellan DJ; American Heart Association Council on Cardiovascular Nursing; American Heart Association Council on Cardiovascular Nursing; American Heart Association Council on Clinical Cardiology; American Heart Association Council on Nutrition, Physical Activity, and Metabolism; American Heart Association Interdisciplinary Council on Quality of Care and Outcomes Research. State of the science: promoting self-care in persons with heart failure: a scientific statement from the American Heart Association. Circulation 2009; 120: 1141-1163.
    • (2009) Circulation , vol.120 , pp. 1141-1163
    • Riegel, B.1    Moser, D.K.2    Anker, S.D.3    Appel, L.J.4    Dunbar, S.B.5    Grady, K.L.6    Gurvitz, M.Z.7    Havranek, E.P.8    Lee, C.S.9    Lindenfeld, J.10    Peterson, P.N.11    Pressler, S.J.12    Schocken, D.D.13    Whellan, D.J.14
  • 13
    • 8444248266 scopus 로고    scopus 로고
    • Association of medication adherence, knowledge, and skills with emergency department visits by adults 50 years or older with congestive heart failure
    • Hope CJ, Wu J, Tu W, Young J, Murray MD. Association of medication adherence, knowledge, and skills with emergency department visits by adults 50 years or older with congestive heart failure. Am J Health Syst Pharm 2004; 61: 2043-2049.
    • (2004) Am J Health Syst Pharm , vol.61 , pp. 2043-2049
    • Hope, C.J.1    Wu, J.2    Tu, W.3    Young, J.4    Murray, M.D.5
  • 14
    • 77954411666 scopus 로고    scopus 로고
    • A support vector machine (SVM) classification approach to heart murmur detection
    • Rud S, Yang JS. A support vector machine (SVM) classification approach to heart murmur detection. Lect Notes Comp Sci 2010; 6004: 52-59.
    • (2010) Lect Notes Comp Sci , vol.6004 , pp. 52-59
    • Rud, S.1    Yang, J.S.2
  • 16
    • 84878712987 scopus 로고    scopus 로고
    • Classification and sequential pattern analysis for improving managerial efficiency and providing better medical service in public healthcare centers
    • Choi K, Chung S, Rhee H, Suh Y. Classification and sequential pattern analysis for improving managerial efficiency and providing better medical service in public healthcare centers. Healthc Inform Res 2010; 16: 67-76.
    • (2010) Healthc Inform Res , vol.16 , pp. 67-76
    • Choi, K.1    Chung, S.2    Rhee, H.3    Suh, Y.4
  • 17
    • 80051563754 scopus 로고    scopus 로고
    • A hybrid Bayesian network model for predicting breast cancer prognosis
    • Choi JP, Han TH, Park RW. A hybrid Bayesian network model for predicting breast cancer prognosis. J Korean Soc Med Inform 2009; 15: 49-57.
    • (2009) J Korean Soc Med Inform , vol.15 , pp. 49-57
    • Choi, J.P.1    Han, T.H.2    Park, R.W.3
  • 18
    • 68149159292 scopus 로고    scopus 로고
    • Prognosis prediction for class III malocclusion treatment by feature wrapping method
    • Kim BM, Kang BY, Kim HG, Baek SH. Prognosis prediction for class III malocclusion treatment by feature wrapping method. Angle Orthod 2009; 79: 683-691.
    • (2009) Angle Orthod , vol.79 , pp. 683-691
    • Kim, B.M.1    Kang, B.Y.2    Kim, H.G.3    Baek, S.H.4
  • 19
    • 0036161259 scopus 로고    scopus 로고
    • Gene selection for cancer classification using support vector machines
    • Guyon I, Weston J, Barnhill S, Vapnik V. Gene selection for cancer classification using support vector machines. Mach Learn 2002; 46: 389-422.
    • (2002) Mach Learn , vol.46 , pp. 389-422
    • Guyon, I.1    Weston, J.2    Barnhill, S.3    Vapnik, V.4
  • 22
    • 0023890867 scopus 로고
    • Measuring the accuracy of diagnostic systems
    • Swets JA. Measuring the accuracy of diagnostic systems. Science 1988; 240: 1285-1293.
    • (1988) Science , vol.240 , pp. 1285-1293
    • Swets, J.A.1
  • 23
    • 33645663296 scopus 로고    scopus 로고
    • Adaptive nonlinear discriminant analysis by regularized minimum squared errors
    • Kim H, Drake BL, Park H. Adaptive nonlinear discriminant analysis by regularized minimum squared errors. IEEE Trans Knowl Data Eng 2006; 18: 603-612.
    • (2006) IEEE Trans Knowl Data Eng , vol.18 , pp. 603-612
    • Kim, H.1    Drake, B.L.2    Park, H.3
  • 24
    • 16844365330 scopus 로고    scopus 로고
    • Medication adherence: Factors influencing compliance with prescribed medication plans
    • Vlasnik JJ, Aliotta SL, DeLor B. Medication adherence: factors influencing compliance with prescribed medication plans. Case Manager 2005; 16: 47-51.
    • (2005) Case Manager , vol.16 , pp. 47-51
    • Vlasnik, J.J.1    Aliotta, S.L.2    Delor, B.3
  • 25
    • 23044482554 scopus 로고    scopus 로고
    • Improving medication knowledge among older adults with heart failure: A patient-centered approach to instruction design
    • Morrow DG, Weiner M, Young J, Steinley D, Deer M, Murray MD. Improving medication knowledge among older adults with heart failure: a patient-centered approach to instruction design. Gerontologist 2005; 45: 545-552.
    • (2005) Gerontologist , vol.45 , pp. 545-552
    • Morrow, D.G.1    Weiner, M.2    Young, J.3    Steinley, D.4    Deer, M.5    Murray, M.D.6
  • 26
    • 84873787355 scopus 로고
    • Limitations of the application of fourfold table analysis to hospital data
    • Berkson J. Limitations of the application of fourfold table analysis to hospital data. Biometrics 1946; 2: 47-53.
    • (1946) Biometrics , vol.2 , pp. 47-53
    • Berkson, J.1
  • 27
    • 37649025659 scopus 로고    scopus 로고
    • Application of irregular and unbalanced data to predict diabetic nephropathy using visualization and feature selection methods
    • Cho BH, Yu H, Kim KW, Kim TH, Kim YI, Kim SI. Application of irregular and unbalanced data to predict diabetic nephropathy using visualization and feature selection methods. Artif Intell Med 2008; 42: 37-53.
    • (2008) Artif Intell Med , vol.42 , pp. 37-53
    • Cho, B.H.1    Yu, H.2    Kim, K.W.3    Kim, T.H.4    Kim, Y.I.5    Kim, S.I.6


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.