Reasoning with uncertainty in pathology: artificial neural networks and logistic regression as tools for prediction of lymph node status in breast cancer patients. | Mod Pathol;12(5): 505-13, 1999 May. | MEDLINE

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Reasoning with uncertainty in pathology: artificial neural networks and logistic regression as tools for prediction of lymph node status in breast cancer patients.

Marchevsky, A M; Shah, S; Patel, S.

Affiliation

Marchevsky AM; Department of Pathology and Laboratory Medicine, Cedars-Sinai Medical Center, Los Angeles, California 90048, USA.

Mod Pathol ; 12(5): 505-13, 1999 May.

Article in En | MEDLINE | ID: mdl-10349989

Subject(s)

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Collection: 01-internacional Database: MEDLINE Main subject: Breast Neoplasms / Carcinoma / Lymphatic Metastasis Type of study: Diagnostic_studies / Observational_studies / Prognostic_studies / Risk_factors_studies Limits: Adult / Aged / Female / Humans / Middle aged Language: En Journal: Mod Pathol Journal subject: PATOLOGIA Year: 1999 Document type: Article Affiliation country: Country of publication:

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Collection: 01-internacional Database: MEDLINE Main subject: Breast Neoplasms / Carcinoma / Lymphatic Metastasis Type of study: Diagnostic_studies / Observational_studies / Prognostic_studies / Risk_factors_studies Limits: Adult / Aged / Female / Humans / Middle aged Language: En Journal: Mod Pathol Journal subject: PATOLOGIA Year: 1999 Document type: Article Affiliation country: Country of publication: