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Prostate Calculator - Relevant Journal Articles and Proceedings

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Following are publications in journals and proceedings from medical and computer modeling team behind this web site.

Relevant Journal Articles and Proceedings

2002

Gamito, Crawford, & Errejon. Artificial neural networks for predictive modeling in prostate cancer. Chapter - Handbook of Prostate Cancer: Biology, Epidem., and Therapeutic Modalities. Godec & Mydlo (Editors). In Press, 2002.

Crawford ED, Gamito EJ, O'Donnell C, Errejon A, Raben D, Han M, Partin AW, and Tewari A. Artificial neural network model to predict risk of non-organ-confined disease and risk of lymph node spread in men with clinically localized prostate cancer [abstract]. J Urology. 165:233, 2001.

Tewari, Porter, Peabody, Crawford, Demers, Johnson, Wei, Divine, O'Donnell, Gamito, & Menon. Predictive modeling techniques in prostate cancer. Molecular Urology. 5(4) 147-52, 2002.

Errejon, Crawford, Dayhoff, O'Donnell, Tewari, Finkelstein, & Gamito. The use of artificial neural networks in the prostate cancer arena. Molecular Urology. 5(4) 153-8, 2002.

Porter, O'Donnell, Crawford, Gamito, Errejon, Genega, Sotelo & Tewari. Artificial neural network model to predict biochemical failure following radical prostatectomy. Molecular Urology. 5(4) 159-62, 2002.

Tewari, Issa, El-Galley, Stricker, Peabody, Pow-Sang, Shukla, Wajsman, Rubin, Wei, Montie, Demers, Johnson, Lameratto, Divine, Crawford, Gamito, O'Donnell, Farah, Narayan, Carlson, & Menon. Genetic adaptive neural network model to predict biochemical failure following radical prostatectomy: A multi-institutional study. Molecular Urology. 5(4) 163-70, 2002.

Errejon, Crawford, Dayhoff, O'Donnell, Tewari, Finkelstein, & Gamito. The use of artificial neural networks in the prostate cancer arena. Molecular Urology. 5(4) 153-8, 2002.

Porter, O'Donnell, Crawford, Gamito, Errejon, Genega, Sotelo & Tewari. Artificial neural network model to predict biochemical failure following radical prostatectomy. Molecular Urology. 5(4) 159-62, 2002.

Tewari, Issa, El-Galley, Stricker, Peabody, Pow-Sang, Shukla, Wajsman, Rubin, Wei, Montie, Demers, Johnson, Lameratto, Divine, Crawford, Gamito, O'Donnell, Farah, Narayan, Carlson, & Menon. Genetic adaptive neural network model to predict biochemical failure following radical prostatectomy: A multi-institutional study. Molecular Urology. 5(4) 163-70, 2002.

2001

Dayhoff & DeLeo. Artificial neural networks: Opening the black box. Cancer. 91(8):1615-35, 2001.

Ziada, Lisle, Snow, Levine, Miller & Crawford. Impact of different variables on the outcome of patients with clinically confined prostate carcinoma: Prediction of pathologic stage and biochemical failure using an artificial neural network. Cancer. 91(8):1653-60, 2001.

Gomella, Labrie, Gamito & Brawer. Prostate Cancer: Risk Assessment and Diagnostic Approaches. Reviews in Urology. 3(2): 31-8 2001.

Crawford, Miller, Labrie, Hirano, Batuello, & Glodé. Prostate Cancer Pathology, Screening, and Epidemiology. Reviews in Urology. 3(2): 2-10 2001.

Lynch, Batuello, Crawford, Gomella, Kaufman, Petrylak, & Joel. Therapeutic Strategies for Localized Prostate Cancer. Reviews in Urology. 3(2): 39-48, 2001.

Tewari, Peabody, Stricker, Bhandari, Shrivastava, Leak, Schlueter, Menon, Crawford, & Gamito. Genetic adaptive network to predict long term survival in patients with clinically localized prostate cancer. Journal of Urology. 165(5):389 (Suppl).

Batuello, Gamito, Crawford, Han, Partin, McLeod and O'Donnell. An artificial neural network model for the assessment of lymph node spread in patients with clinically localized prostate cancer. Urology. 57(3), 2001.

Crawford ED, Gamito EJ, O'Donnell C, Errejon A, Raben D, Han M, Partin AW, and Tewari A:. Artificial neural network model to predict risk of non-organ-confined disease and risk of lymph node spread in men with clinically localized prostate cancer [abstract]. J Urology. 165:233, 2001.

Gomella, Labrie, Gamito & Brawer. Prostate Cancer: Risk Assessment and Diagnostic Approaches. Reviews in Urology. 3(2): 31-8 2001.

Crawford, Miller, Labrie, Hirano, Batuello, & Glodé. Prostate Cancer Pathology, Screening, and Epidemiology. Reviews in Urology. 3(2): 2-10 2001.

Lynch, Batuello, Crawford, Gomella, Kaufman, Petrylak, & Joel. Therapeutic Strategies for Localized Prostate Cancer. Reviews in Urology. 3(2): 39-48, 2001.

Tewari, Peabody, Stricker, Bhandari, Shrivastava, Leak, Schlueter, Menon, Crawford, & Gamito. Genetic adaptive network to predict long term survival in patients with clinically localized prostate cancer. Journal of Urology. 165(5):389 (Suppl).

Gamito EJ, Dayhoff J, Crawford ED, O'Donnell C, Han M, Partin AW, Tewari A, and Errejon A, "Artificial neural network model to predict extent of tumor in men with clinically localized prostate cancer." Proceedings IJCNN, July, 2001.

Tewari, Porter, Peabody, Crawford, Demers, Johnson, Wei, Divine, O'Donnell, Gamito, & Menon, "Predictive modeling techniques in prostate cancer." Molecular Urology, June, 2001.

Crawford ED, Gamito EJ, O'Donnell C, Errejon A, Raben D, Han M, Partin AW, and Tewari A, "Artificial neural network model to predict risk of non-organ-confined disease and risk of lymph node spread in men with clinically localized prostate cancer [abstract]." J Urology, 165:233, 2001, June, 2001.

Crawford, E. D., Family Urology, 5(1), May 2001.

Errejon, Crawford, Dayhoff, O'Donnell, Tewari, Finkelstein, & Gamito, "The use of artificial neural networks in the prostate cancer arena." Molecular Urology (In Press), May, 2001.

Porter, O'Donnell, Crawford, Gamito, Errejon, Genega, Sotelo & Tewari, "Artificial neural network model to predict biochemical failure following radical prostatectomy" Molecular Urology (In Press), May, 2001.

Tewari, Issa, El-Galley, Stricker, Peabody, Pow-Sang, Shukla, Wajsman, Rubin, Wei, Montie, Demers, Johnson, Lameratto, Divine, Crawford, Gamito, O'Donnell, Farah, Narayan, Carlson, & Menon, "Genetic adaptive neural network model to predict biochemical failure following radical prostatectomy: A multi-institutional study." Molecular Urology (In Press), April, 2001.

Dayhoff & DeLeo, "Artificial neural networks: Opening the black box." Cancer, 91(8):1615-35, 2001, April, 2001.

Ziada, Lisle, Snow, Levine, Miller & Crawford"Impact of different variables on the outcome of patients with clinically confined prostate carcinoma: Prediction of pathologic stage and biochemical failure using an artificial neural network" Cancer, 91(8):1653-60, 2001, April, 2001.

Gomella, Labrie, Gamito & Brawer, "Advances in the early diagnosis of prostate cancer." Rev. Urology (In Press), March, 2001.

2000

Crawford, Batuello, Snow, Gamito, McLeod, Partin, Stone, Montie, Stock, Lynch, & Brandt. The use of artificial intelligence technology to predict lymph node spread in men with clinically localized prostate carcinoma. Cancer. 88(9):2105-9, 2000.

Gamito, Stone, Batuello & Crawford. Use of artificial neural networks in the clinical staging of prostate cancer: Implications for prostate brachytherapy. Techniques in Urology. 6(2):60-3, 2000.

Batuello and Crawford, "Review: Artificial neural networks in urology." LabMedica (Invited), November, 2000.

Crawford, Batuello, Snow, Gamito, McLeod, Partin, Stone, Montie, Stock, Lynch, & Brandt, "The use of artificial intelligence technology to predict lymph node spread in men with clinically localized prostate carcinoma." Cancer, 88(9):2105-9, 2000, May, 2000.

Gamito, Stone, Batuello & Crawford, "Use of artificial neural networks in the clinical staging of prostate cancer: Implications for prostate brachytherapy" Techniques in Urology, 6(2):60-3, 2000, March, 2000.

Batuello, Gamito, Crawford, Han, Partin, McLeod and O'Donnell, "An artificial neural network model for the assessment of lymph node spread in patients with clinically localized prostate cancer." Urology, 57(3), 2001, September, 2000.


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Accessed on 12 December 2017.