| Contribution of artificial intelligence to the knowledge of prognostic factors in Hodgkin's lymphoma. | |
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MedLine Citation:
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PMID: 20473182 Owner: NLM Status: In-Process |
Abstract/OtherAbstract:
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Hodgkin's lymphoma is one of the most curable malignancies and most patients achieve a lasting complete remission. In this study, artificial neural network (ANN) analysis was shown to provide significant factors with regard to 5-year recurrence after lymphoma treatment. Data from 114 patients treated for Hodgkin's disease were available for evaluation and comparison. A total of 31 variables were subjected to ANN analysis. The ANN approach as an advanced multivariate data processing method was shown to provide objective prognostic data. Some of these prognostic factors are consistent or even identical to the factors evaluated earlier by other statistical methods. |
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Authors:
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Adam Buciński; Michał Piotr Marszałł; Jerzy Krysiński; Andrzej Lemieszek; Jerzy Załuski |
Publication Detail:
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Type: Comparative Study; Journal Article; Randomized Controlled Trial |
Journal Detail:
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Title: European journal of cancer prevention : the official journal of the European Cancer Prevention Organisation (ECP) Volume: 19 ISSN: 1473-5709 ISO Abbreviation: Eur. J. Cancer Prev. Publication Date: 2010 Jul |
Date Detail:
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Created Date: 2010-06-03 Completed Date: - Revised Date: - |
Medline Journal Info:
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Nlm Unique ID: 9300837 Medline TA: Eur J Cancer Prev Country: England |
Other Details:
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Languages: eng Pagination: 308-12 Citation Subset: IM |
Affiliation:
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Department of Biopharmacy, Faculty of Pharmacy, College of Medicine, Nicolaus Copernicus University, Bydgoszcz, Poland. |
Export Citation:
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From MEDLINE®/PubMed®, a database of the U.S. National Library of Medicine
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