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Volumn 35, Issue 6, 2011, Pages 1531-1542

A new approach: Role of data mining in prediction of survival of burn patients

Author keywords

Burn patients; Data mining; k fold cross validation; Prediction; Support Vector Machine (SVM)

Indexed keywords

ARTICLE; BURN PATIENT; DATA MINING; PREDICTION; STATISTICAL ANALYSIS; SUPPORT VECTOR MACHINE; SURVIVAL;

EID: 84856221212     PISSN: 01485598     EISSN: 1573689X     Source Type: Journal    
DOI: 10.1007/s10916-010-9430-2     Document Type: Article
Times cited : (23)

References (40)
  • 1
    • 84856209110 scopus 로고    scopus 로고
    • Collections of information antipiracy act: Hearing on the Collections of Information Antipiracy Act. H.R. 354 before the House Comm
    • Lederberg, J.; Collections of information antipiracy act: Hearing on the Collections of Information Antipiracy Act. H.R. 354 before the House Comm. In: The Judiciary, 106th Cong, pp. 189-205, 1999.
    • (1999) The Judiciary, 106th Cong , pp. 189-205
    • Lederberg, J.1
  • 2
    • 0002433547 scopus 로고    scopus 로고
    • From data mining to knowledge discovery: An overview
    • U.M. Fayyad G. Piatetsky-Shapiro P. Smyth R. Uthurusamy (eds). AAAI Press Menlo Park
    • Fayyad, U.; Piatetsky-Shapiro, G.; and Smyth, P.; From data mining to knowledge discovery: an overview. In: Fayyad, U. M.; Piatetsky-Shapiro, G.; Smyth, P.; and Uthurusamy, R. (Eds.), Advances in knowledge discovery and data mining. AAAI Press, Menlo Park, 1996.
    • (1996) Advances in Knowledge Discovery and Data Mining
    • Fayyad, U.1    Piatetsky-Shapiro, G.2    Smyth, P.3
  • 8
    • 0030249104 scopus 로고    scopus 로고
    • Epidemiology of burns in a district hospital in Western India
    • DOI 10.1016/0305-4179(96)00001-0
    • M Subramanianyam 1996 Epidemiology of a burns in a district hospital in Western India Burns 22 6 439 424 10.1016/0305-4179(96)00001-0 (Pubitemid 26306104)
    • (1996) Burns , vol.22 , Issue.6 , pp. 439-442
    • Subrahmanyam, M.1
  • 10
    • 0020460992 scopus 로고
    • An analysis of factors which predict mortality in hospitalized burn patients
    • DOI 10.1016/0305-4179(82)90134-6
    • CC Berry TC Wachtel HA Frank 1982 An analysis factors which predicts mortality in hospitalized burn patient J Burns 19 8 38 45 10.1016/0305-4179(82) 90134-6 (Pubitemid 13156265)
    • (1982) Burns , vol.9 , Issue.1 , pp. 38-45
    • Berry, C.C.1    Wachtel, T.L.2    Frank, H.A.3
  • 11
    • 0028787186 scopus 로고
    • Burn variable influencing survival: A study of 144 patients
    • 10.1016/0305-4179(95)00035-A
    • AEI Danat 1995 Burn variable influencing survival: A study of 144 patients J Burns 21 7 517 520 10.1016/0305-4179(95)00035-A
    • (1995) J Burns , vol.21 , Issue.7 , pp. 517-520
    • Danat, A.E.I.1
  • 15
    • 0035136916 scopus 로고    scopus 로고
    • An evaluation of risk factors for mortality after burn trauma and the identification of gender-dependent differences in outcomes
    • DOI 10.1016/S1072-7515(00)00785-7, PII S1072751500007857
    • GE O'Keefe J Hunt GF Purdue 2001 An evaluation of risk factors for mortality after burn trauma and the identification of gender-dependent differences in outcomes J Am Coll Surg 192 153 160 10.1016/S1072-7515(00)00785-7 (Pubitemid 32155206)
    • (2001) Journal of the American College of Surgeons , vol.192 , Issue.2 , pp. 153-160
    • O'Keefe, G.E.1    Hunt, J.L.2    Purdue, G.F.3
  • 17
    • 0042671104 scopus 로고    scopus 로고
    • What influences the functional outcome of children at 6 months post-burn?
    • DOI 10.1016/S0305-4179(03)00045-7
    • M Spies DN Herndon JI Rosenblatt AP Sanford SE Wolf 2003 Prediction of mortality from catastrophic burns in children J Burns 29 433 444 10.1016/S0305-4179(03)00045-7 (Pubitemid 36918274)
    • (2003) Burns , vol.29 , Issue.5 , pp. 433-444
    • Tyack, Z.F.1    Ziviani, J.2
  • 18
    • 0020174640 scopus 로고
    • Self-rated health: A prediction of mortality among the elderly
    • 10.2105/AJPH.72.8.800
    • JM Mossey E Shapiro 1982 Self-rated health: A prediction of mortality among the elderly Am J Public Health 72 800 808 10.2105/AJPH.72.8.800
    • (1982) Am J Public Health , vol.72 , pp. 800-808
    • Mossey, J.M.1    Shapiro, E.2
  • 20
    • 0032484954 scopus 로고    scopus 로고
    • Predicting outcomes of burns
    • DOI 10.1056/NEJM199802053380610
    • JR Saffle 1998 Predicting outcomes of burns N Engl J Med 388 6 387 388 10.1056/NEJM199802053380610 (Pubitemid 28083914)
    • (1998) New England Journal of Medicine , vol.338 , Issue.6 , pp. 387-388
    • Saffle, J.R.1
  • 21
    • 0036768724 scopus 로고    scopus 로고
    • Role of artificial neural networks in prediction of survival of burn patients - A new approach
    • DOI 10.1016/S0305-4179(02)00045-1, PII S0305417902000451
    • KE Hamid B Nosratollah 2002 Role of artificial neural networks in prediction of survival of burn patients-a new approach J Burns 28 579 586 10.1016/S0305-4179(02)00045-1 (Pubitemid 36153204)
    • (2002) Burns , vol.28 , Issue.6 , pp. 579-586
    • Estahbanati, H.K.1    Bouduhi, N.2
  • 22
    • 19444374891 scopus 로고    scopus 로고
    • Prediction of burn healing time using artificial neural networks and reflectance spectrometer
    • DOI 10.1016/j.burns.2004.12.003, PII S0305417904003511
    • EK Yeong TC Hsiao HK Chiang CW Lin 2005 Prediction of burn healing time using artificial neural networks and reflectance spectrometer J Burns 3 415 420 10.1016/j.burns.2004.12.003 (Pubitemid 40724477)
    • (2005) Burns , vol.31 , Issue.4 , pp. 415-420
    • Yeong, E.-K.1    Hsiao, T.-C.2    Huihua, K.C.3    Lin, C.-W.4
  • 24
    • 44649091440 scopus 로고    scopus 로고
    • Heather Cleland Clinical factors affecting mortality in elderly burn patients admitted to a burns service
    • 10.1016/j.burns.2007.09.006
    • P Mahar W Jason M Bailey 2008 Heather Cleland Clinical factors affecting mortality in elderly burn patients admitted to a burns service J Burns 34 629 636 10.1016/j.burns.2007.09.006
    • (2008) J Burns , vol.34 , pp. 629-636
    • Mahar, P.1    Jason, W.2    Bailey, M.3
  • 26
    • 33744584654 scopus 로고
    • Induction of decision trees
    • J Quinlan 1986 Induction of decision trees Mach Learn 1 81 106
    • (1986) Mach Learn , vol.1 , pp. 81-106
    • Quinlan, J.1
  • 29
    • 0002431740 scopus 로고    scopus 로고
    • Automatic construction of decision trees from data: A multi-disciplinary survey
    • SK Murthy 1998 Automatic construction of decision trees from data: A multi-disciplinary survey Data Min Knowl Disc 2 345 389 10.1023/A:1009744630224 1697952 (Pubitemid 128695483)
    • (1998) Data Mining and Knowledge Discovery , vol.2 , Issue.4 , pp. 345-389
    • Murthy, S.K.1
  • 33
    • 27144489164 scopus 로고    scopus 로고
    • A Tutorial on Support Vector Machines for Pattern Recognition
    • DOI 10.1023/A:1009715923555
    • C Burges 1998 A tutorial on support vector machines for pattern recognition Data Min Knowl Disc 2 2 1 47 10.1023/A:1009715923555 (Pubitemid 128126769)
    • (1998) Data Mining and Knowledge Discovery , vol.2 , Issue.2 , pp. 121-168
    • Burges, C.J.C.1
  • 35
    • 36749047332 scopus 로고    scopus 로고
    • Supervised machine learning: A review of classification techniques
    • SB Kotsiantis 2007 Supervised machine learning: A review of classification techniques Informatica 31 249 268 1162.68552 2350486 (Pubitemid 350208045)
    • (2007) Informatica (Ljubljana) , vol.31 , Issue.3 , pp. 249-268
    • Kotsiantis, S.B.1
  • 36
    • 19344364327 scopus 로고    scopus 로고
    • Predicting breast cancer survivability: A comparison of three data mining methods
    • DOI 10.1016/j.artmed.2004.07.002, PII S0933365704001010
    • D Delen G Walker A Kadam 2005 Predicting breast cancer survivability: A comparison of three data mining methods Artif Intell Med 34 2 113 127 10.1016/j.artmed.2004.07.002 (Pubitemid 40719029)
    • (2005) Artificial Intelligence in Medicine , vol.34 , Issue.2 , pp. 113-127
    • Delen, D.1    Walker, G.2    Kadam, A.3
  • 39
    • 0036532821 scopus 로고    scopus 로고
    • A hybrid filter/wrapper approach of feature selection using information theory
    • DOI 10.1016/S0031-3203(01)00084-X, PII S003132030100084X
    • M Sebban R Nock 2002 A hybrid filter/wrapper approach of feature selection using information theory Pattern Recogn 35 4 835 846 10.1016/S0031-3203(01)00084-X 0997.68115 (Pubitemid 34128810)
    • (2002) Pattern Recognition , vol.35 , Issue.4 , pp. 835-846
    • Sebban, M.1    Nock, R.2
  • 40
    • 40849086584 scopus 로고    scopus 로고
    • Improving the ability to predict mortality among burn patients
    • DOI 10.1016/j.burns.2007.06.003, PII S0305417907001477
    • M Gerald Jr LG Richard MC James WR Loring 2008 Improving the ability to predict mortality among burn patients J Burns 34 320 327 10.1016/j.burns.2007. 06.003 (Pubitemid 351391900)
    • (2008) Burns , vol.34 , Issue.3 , pp. 320-327
    • McGwin Jr., G.1    George, R.L.2    Cross, J.M.3    Rue, L.W.4


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.