메뉴 건너뛰기




Volumn 9, Issue 7, 2009, Pages 867-870

Predicted modeling in cancer: Where systems biology meets the stock market

Author keywords

[No Author keywords available]

Indexed keywords

ARTIFICIAL INTELLIGENCE; ARTIFICIAL NEURAL NETWORK; BAYES THEOREM; BLADDER CANCER; COMPUTER MODEL; COMPUTER PREDICTION; DECISION SUPPORT SYSTEM; EDITORIAL; ENVIRONMENTAL FACTOR; EXPERT SYSTEM; FUZZY SYSTEM; IMAGE PROCESSING; PATIENT CARE; PREDICTION; PREDICTION AND FORECASTING; RISK FACTOR; SMOKING; STATISTICAL ANALYSIS; SYSTEMS BIOLOGY; TREATMENT PLANNING; FORECASTING; FUZZY LOGIC; HUMAN; NEOPLASM; PROGNOSIS; STATISTICAL MODEL;

EID: 69249134652     PISSN: 14737140     EISSN: 17448328     Source Type: Journal    
DOI: 10.1586/era.09.47     Document Type: Editorial
Times cited : (9)

References (20)
  • 1
    • 0346100499 scopus 로고    scopus 로고
    • The health economics of bladder cancer: A comprehensive review of the published literature
    • Botteman MF, Pashos CL, Redaelli A, Laskin B, Hauser R. The health economics of bladder cancer: a comprehensive review of the published literature. Pharmacoeconomics 21(18), 1315-1330 (2003).
    • (2003) Pharmacoeconomics , vol.21 , Issue.18 , pp. 1315-1330
    • Botteman, M.F.1    Pashos, C.L.2    Redaelli, A.3    Laskin, B.4    Hauser, R.5
  • 3
    • 33644663354 scopus 로고    scopus 로고
    • Nomograms to predict pathologic complete response and metastasis-free survival after preoperative chemotherapy for breast cancer
    • Rouzier R, Pusztai L, Delaloge S et al. Nomograms to predict pathologic complete response and metastasis-free survival after preoperative chemotherapy for breast cancer. J. Clin. Oncol. 23(33), 8331-8339 (2005).
    • (2005) J. Clin. Oncol , vol.23 , Issue.33 , pp. 8331-8339
    • Rouzier, R.1    Pusztai, L.2    Delaloge, S.3
  • 4
    • 38649125855 scopus 로고    scopus 로고
    • Individualized prediction of colon cancer recurrence using a nomogram
    • Weiser MR, Landmann RG, Kattan MW et al. Individualized prediction of colon cancer recurrence using a nomogram. J. Clin. Oncol. 26(3), 380-385 (2008).
    • (2008) J. Clin. Oncol , vol.26 , Issue.3 , pp. 380-385
    • Weiser, M.R.1    Landmann, R.G.2    Kattan, M.W.3
  • 5
    • 3042809910 scopus 로고    scopus 로고
    • The association between smoking, beverage consumption, diet and bladder cancer: A systematic literature review
    • Zeegers MP, Kellen E, Buntinx F, van den Brandt PA. The association between smoking, beverage consumption, diet and bladder cancer: a systematic literature review. World]. Urol. 21(6), 392-401 (2004).
    • (2004) World]. Urol , vol.21 , Issue.6 , pp. 392-401
    • Zeegers, M.P.1    Kellen, E.2    Buntinx, F.3    van den Brandt, P.A.4
  • 6
    • 0141790049 scopus 로고    scopus 로고
    • Artificial intelligence in predicting bladder cancer outcome: A comparison of neuro-fuzzy modeling and artificial neural networks
    • Catto JW, Linkens DA, Abbod MF et al. Artificial intelligence in predicting bladder cancer outcome: a comparison of neuro-fuzzy modeling and artificial neural networks. Clin. Cancer Res. 9(11), 4172-4177 (2003).
    • (2003) Clin. Cancer Res , vol.9 , Issue.11 , pp. 4172-4177
    • Catto, J.W.1    Linkens, D.A.2    Abbod, M.F.3
  • 7
    • 66149108802 scopus 로고    scopus 로고
    • Impact of clinical factors, including a point-of-care nuclear matrix protein-22 assay and cytology, on bladder cancer detection
    • Lotan Y, Capitanio U, Shariat SF, Hutterer GC, Karakiewicz PI. Impact of clinical factors, including a point-of-care nuclear matrix protein-22 assay and cytology, on bladder cancer detection. BJU Int. 103(10), 1368-1374 (2009).
    • (2009) BJU Int , vol.103 , Issue.10 , pp. 1368-1374
    • Lotan, Y.1    Capitanio, U.2    Shariat, S.F.3    Hutterer, G.C.4    Karakiewicz, P.I.5
  • 9
    • 33748470523 scopus 로고    scopus 로고
    • Postoperative nomogram predicting risk of recurrence after radical cystectomy for bladder cancer
    • Bochner BH, Kattan MW, Vora KC. Postoperative nomogram predicting risk of recurrence after radical cystectomy for bladder cancer. J. Clin. Oncol. 24(24), 3967-3972 (2006).
    • (2006) J. Clin. Oncol , vol.24 , Issue.24 , pp. 3967-3972
    • Bochner, B.H.1    Kattan, M.W.2    Vora, K.C.3
  • 10
    • 33845304280 scopus 로고    scopus 로고
    • Nomograms provide improved accuracy for predicting survival after radical cystectomy
    • Shariat SF, Karakiewicz PI, Palapattu GS et al. Nomograms provide improved accuracy for predicting survival after radical cystectomy. Clin. Cancer Res. 12(22), 6663-6676 (2006).
    • (2006) Clin. Cancer Res , vol.12 , Issue.22 , pp. 6663-6676
    • Shariat, S.F.1    Karakiewicz, P.I.2    Palapattu, G.S.3
  • 11
    • 34548389305 scopus 로고    scopus 로고
    • Application of artificial intelligence to the management of urological cancer
    • Abbod MF, Catto JW, Linkens DA, Hamdy FC. Application of artificial intelligence to the management of urological cancer. J. Urol. 178(4), 1150-1156 (2007).
    • (2007) J. Urol , vol.178 , Issue.4 , pp. 1150-1156
    • Abbod, M.F.1    Catto, J.W.2    Linkens, D.A.3    Hamdy, F.C.4
  • 12
    • 0034728368 scopus 로고    scopus 로고
    • On the misuses of artificial neural networks for prognostic and diagnostic classification in oncology
    • Schwarzer G, Vach W, Schumacher M. On the misuses of artificial neural networks for prognostic and diagnostic classification in oncology. Stat. Med. 19(4), 541-561 (2000).
    • (2000) Stat. Med , vol.19 , Issue.4 , pp. 541-561
    • Schwarzer, G.1    Vach, W.2    Schumacher, M.3
  • 13
    • 0035871395 scopus 로고    scopus 로고
    • Comparison of artificial neural networks with other statistical approaches: Results from medical data sets
    • Sargent DJ. Comparison of artificial neural networks with other statistical approaches: results from medical data sets. Cancer 91(8 Suppl.), 1636-1642 (2001).
    • (2001) Cancer , vol.91 , Issue.8 SUPPL. , pp. 1636-1642
    • Sargent, D.J.1
  • 14
    • 33746901239 scopus 로고    scopus 로고
    • The use of artificial neural networks in decision support in cancer: A systematic review
    • Lisboa PJ, Taktak AF. The use of artificial neural networks in decision support in cancer: a systematic review. Neural Netw. 19(4), 408-415 (2006).
    • (2006) Neural Netw , vol.19 , Issue.4 , pp. 408-415
    • Lisboa, P.J.1    Taktak, A.F.2
  • 15
    • 0035481747 scopus 로고    scopus 로고
    • A systematic neurofuzzy modelling framework with application to material property prediction
    • Chen M, Linkens DA. A systematic neurofuzzy modelling framework with application to material property prediction. EEE Trans. Syst. Man. Cybern. B Cybern. 31(5), 781 (2001).
    • (2001) EEE Trans. Syst. Man. Cybern. B Cybern , vol.31 , Issue.5 , pp. 781
    • Chen, M.1    Linkens, D.A.2
  • 16
    • 30344486015 scopus 로고    scopus 로고
    • Neuro-fuzzy modeling: An accurate and interpretable method for predicting bladder cancer progression
    • Catto JW, Abbod MF, Linkens DA, Hamdy FC. Neuro-fuzzy modeling: an accurate and interpretable method for predicting bladder cancer progression. J. Urol. 175(2), 474-479 (2006).
    • (2006) J. Urol , vol.175 , Issue.2 , pp. 474-479
    • Catto, J.W.1    Abbod, M.F.2    Linkens, D.A.3    Hamdy, F.C.4
  • 17
    • 34247485737 scopus 로고    scopus 로고
    • Promoter hypermethylation identifies progression risk in bladder cancer
    • Yates DR, Rehman I, Abbod MF et al. Promoter hypermethylation identifies progression risk in bladder cancer. Clin. Cancer Res. 13(7), 2046-2053 (2007).
    • (2007) Clin. Cancer Res , vol.13 , Issue.7 , pp. 2046-2053
    • Yates, D.R.1    Rehman, I.2    Abbod, M.F.3
  • 18
    • 65649117350 scopus 로고    scopus 로고
    • Neurofuzzy modeling to determine recurrence risk following radical cystectomy for non-metastatic urothelial carcinoma of the bladder
    • Catto JW, Abbod MF, Linkens DA, Larre S, Rosario DJ, Hamdy FC. Neurofuzzy modeling to determine recurrence risk following radical cystectomy for non-metastatic urothelial carcinoma of the bladder. Clin. Cancer Res. 15, 3150 (2009).
    • (2009) Clin. Cancer Res , vol.15 , pp. 3150
    • Catto, J.W.1    Abbod, M.F.2    Linkens, D.A.3    Larre, S.4    Rosario, D.J.5    Hamdy, F.C.6
  • 19
    • 0034954414 scopus 로고    scopus 로고
    • Classification and diagnostic prediction of cancers using gene expression profiling and artificial neural networks
    • Khan J, Wei JS, Ringner M et al. Classification and diagnostic prediction of cancers using gene expression profiling and artificial neural networks. Nat. Med. 7(6), 673-679 (2001).
    • (2001) Nat. Med , vol.7 , Issue.6 , pp. 673-679
    • Khan, J.1    Wei, J.S.2    Ringner, M.3
  • 20
    • 74849104983 scopus 로고    scopus 로고
    • A validated gene expression profile for detecting clinical outcome in breast cancer using artificial neural networks
    • DOI: 10.1007/s10549-009-0378-1
    • Lancashire LJ, Powe DG, Reis-Filho JS et al. "" A validated gene expression profile for detecting clinical outcome in breast cancer using artificial neural networks. Breast Cancer Res. Treat. DOI: 10.1007/s10549-009-0378-1 (2009).
    • (2009) Breast Cancer Res. Treat
    • Lancashire, L.J.1    Powe, D.G.2    Reis-Filho, J.S.3


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.