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Volumn 63, Issue 4, 2002, Pages 309-316

Prediction of response to hormonal treatment in metastatic breast cancer

Author keywords

Artificial neural networks; Breast cancer; Classification model; Hormone treatment; Predictive parameter

Indexed keywords

HORMONE; HORMONE RECEPTOR; LETROZOLE;

EID: 0345382856     PISSN: 00302414     EISSN: None     Source Type: Journal    
DOI: 10.1159/000066224     Document Type: Review
Times cited : (27)

References (15)
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    • Sedlacek, S.M.1    Horowitz, K.B.2
  • 2
    • 0026487215 scopus 로고
    • Sequential estrogen receptor determination from primary breast cancer and at relapse: Prognostic and therapeutic relevance
    • The International Breast Cancer Study Group (formerly Ludwig Group)
    • Spataro V, Price K, Goldhirsch A, Cavalli F, Simoncini E, Castiglione M, Rudenstam CM, Collins J, Lindtner J, Gelber RD: Sequential estrogen receptor determination from primary breast cancer and at relapse: Prognostic and therapeutic relevance. The International Breast Cancer Study Group (formerly Ludwig Group). Ann Oncol 1992;3:733-740.
    • (1992) Ann Oncol , vol.3 , pp. 733-740
    • Spataro, V.1    Price, K.2    Goldhirsch, A.3    Cavalli, F.4    Simoncini, E.5    Castiglione, M.6    Rudenstam, C.M.7    Collins, J.8    Lindtner, J.9    Gelber, R.D.10
  • 6
    • 0002983776 scopus 로고
    • Statistical aspects of neural networks
    • Barndorff-Nielsen OE, et al (eds). London, Chapman & Hall
    • Ripley BD: Statistical aspects of neural networks; in Barndorff-Nielsen OE, et al (eds): Chaos and Networks - Statistical and Probabilistic Aspects. London, Chapman & Hall, 1993.
    • (1993) Chaos and Networks - Statistical and Probabilistic Aspects
    • Ripley, B.D.1
  • 9
    • 0344882796 scopus 로고    scopus 로고
    • Classification of patients with long times to treatment failure and overall survival having stable disease under second-line treatment with letrozole or MA
    • abstr 508
    • Wischnewsky MB, Schmid P, Böhm R, Chaudri HA, Grunewald R, Possinger K: Classification of patients with long times to treatment failure and overall survival having stable disease under second-line treatment with letrozole or MA. Proc Am Soc Clin Oncol 2000;18:abstr 508.
    • (2000) Proc Am Soc Clin Oncol , vol.18
    • Wischnewsky, M.B.1    Schmid, P.2    Böhm, R.3    Chaudri, H.A.4    Grunewald, R.5    Possinger, K.6
  • 11
  • 14
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    • Self-organizing maps for data analysis and prediction of outcome in second-line hormonal treatment of metastatic breast cancer
    • Wischnewsky MB, Schmid P, Possinger K: Self-organizing maps for data analysis and prediction of outcome in second-line hormonal treatment of metastatic breast cancer. Ann Oncol 2000;11(suppl 4):25.
    • (2000) Ann Oncol , vol.11 , Issue.SUPPL. 4 , pp. 25
    • Wischnewsky, M.B.1    Schmid, P.2    Possinger, K.3
  • 15
    • 0344882794 scopus 로고    scopus 로고
    • Self-organizing maps and prognosis of advanced breast cancer patients with bone metastases receiving letrozole or MA
    • Schmid P, Possinger K, Wischnewsky MB: Self-organizing maps and prognosis of advanced breast cancer patients with bone metastases receiving letrozole or MA. Breast Cancer Res Treat 2000;64:77.
    • (2000) Breast Cancer Res Treat , vol.64 , pp. 77
    • Schmid, P.1    Possinger, K.2    Wischnewsky, M.B.3


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.