Literature DB >> 20473182

Contribution of artificial intelligence to the knowledge of prognostic factors in Hodgkin's lymphoma.

Adam Buciński1, Michał Piotr Marszałł, Jerzy Krysiński, Andrzej Lemieszek, Jerzy Załuski.   

Abstract

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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Year:  2010        PMID: 20473182     DOI: 10.1097/CEJ.0b013e32833ad353

Source DB:  PubMed          Journal:  Eur J Cancer Prev        ISSN: 0959-8278            Impact factor:   2.497


  1 in total

1.  Translational Applications of Artificial Intelligence and Machine Learning for Diagnostic Pathology in Lymphoid Neoplasms: A Comprehensive and Evolutive Analysis.

Authors:  Julia Moran-Sanchez; Antonio Santisteban-Espejo; Miguel Angel Martin-Piedra; Jose Perez-Requena; Marcial Garcia-Rojo
Journal:  Biomolecules       Date:  2021-05-25
  1 in total

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