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Volumn 26, Issue 1, 2002, Pages 19-29

Using classification and regression trees (CART) to support worker decision making

Author keywords

Child protective services; Classification and regression trees; Decision making; Decision trees; Screening

Indexed keywords


EID: 0040081941     PISSN: 10705309     EISSN: None     Source Type: Journal    
DOI: 10.1093/swr/26.1.19     Document Type: Article
Times cited : (23)

References (17)
  • 2
    • 0026055893 scopus 로고
    • Drinking among subgroups in the adult population of New York State: A classification analysis using CART
    • Barnes, G., Welte, J., & Dintcheff, B. (1991). Drinking among subgroups in the adult population of New York State: A classification analysis using CART. Journal of Studies on Alcohol, 52, 338-344.
    • (1991) Journal of Studies on Alcohol , vol.52 , pp. 338-344
    • Barnes, G.1    Welte, J.2    Dintcheff, B.3
  • 3
    • 0026410155 scopus 로고
    • Prediction of use of psychiatric services application of the CART algorithm
    • Boerstler, H., & de Figueiredo, J. M. (1991). Prediction of use of psychiatric services application of the CART algorithm. Journal of Mental Health Administration, 18(1), 27-34.
    • (1991) Journal of Mental Health Administration , vol.18 , Issue.1 , pp. 27-34
    • Boerstler, H.1    De Figueiredo, J.M.2
  • 5
    • 0030973665 scopus 로고    scopus 로고
    • Outcome in schizophrenia and related disorders compared between developing and developed countries: A recursive partitioning reanalysis of the WHO DOSMD data
    • Craig, T. J., Siegel, C., Hopper, K., Lin, S., & Sartorius, N. (1997). Outcome in schizophrenia and related disorders compared between developing and developed countries: A recursive partitioning reanalysis of the WHO DOSMD data. British Journal of Psychiatry, 170, 229-233.
    • (1997) British Journal of Psychiatry , vol.170 , pp. 229-233
    • Craig, T.J.1    Siegel, C.2    Hopper, K.3    Lin, S.4    Sartorius, N.5
  • 7
    • 0000661829 scopus 로고
    • An exploratory technique for investigating large quantities of categorical data
    • Kass, G. V. (1980). An exploratory technique for investigating large quantities of categorical data. Applied Statistics, 29, 119-127.
    • (1980) Applied Statistics , vol.29 , pp. 119-127
    • Kass, G.V.1
  • 9
    • 0030148244 scopus 로고    scopus 로고
    • A novel algorithm to optimize classification trees
    • Kroger, M., & Kroger, B. (1996). A novel algorithm to optimize classification trees. Computer Physics Communications, 95, 58-72.
    • (1996) Computer Physics Communications , vol.95 , pp. 58-72
    • Kroger, M.1    Kroger, B.2
  • 10
    • 0031312210 scopus 로고    scopus 로고
    • Split selection methods for classification trees
    • Loh, W. Y, & Shih, Y. S. (1997). Split selection methods for classification trees. Statistica Sinica, 7, 815-840.
    • (1997) Statistica Sinica , vol.7 , pp. 815-840
    • Loh, W.Y.1    Shih, Y.S.2
  • 12
    • 0028791764 scopus 로고
    • A decision tree for the early diagnosis of acute myocardial infarction in nontraumatic chest pain patients at hospital admission
    • Mair, J., Smidt, J., Lechleitner, P., Dienstl, F., & Puschendorf, B. (1995). A decision tree for the early diagnosis of acute myocardial infarction in nontraumatic chest pain patients at hospital admission. Chest, 108, 1502-1509.
    • (1995) Chest , vol.108 , pp. 1502-1509
    • Mair, J.1    Smidt, J.2    Lechleitner, P.3    Dienstl, F.4    Puschendorf, B.5
  • 15
    • 0028912964 scopus 로고
    • Classification and regression trees (CART) for prediction of function at 1 year following head trauma
    • Temkin, N. R., Holubkov, R., Machamer, J. E., Winn, H. R., & Dimken, S. S. (1995). Classification and regression trees (CART) for prediction of function at 1 year following head trauma. Journal of Neurosurgery, 82, 764-771.
    • (1995) Journal of Neurosurgery , vol.82 , pp. 764-771
    • Temkin, N.R.1    Holubkov, R.2    Machamer, J.E.3    Winn, H.R.4    Dimken, S.S.5
  • 16
    • 0031880339 scopus 로고    scopus 로고
    • Identification of low-risk node-negative breast cancer patients by tumor biological factors PAI-1 and Cathepsin L
    • Thomssen, C., Oppelt, P., Janicke, F., Ulm, K., Harbeck, N., Hofler, H., Kuhn, W., Graeff, H., & Schmitt, M. (1998). Identification of low-risk node-negative breast cancer patients by tumor biological factors PAI-1 and Cathepsin L. Anticancer Research, 18, 2173-2180.
    • (1998) Anticancer Research , vol.18 , pp. 2173-2180
    • Thomssen, C.1    Oppelt, P.2    Janicke, F.3    Ulm, K.4    Harbeck, N.5    Hofler, H.6    Kuhn, W.7    Graeff, H.8    Schmitt, M.9


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.