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

Eur J Cancer Prev. 2010 Jul;19(4):308-12. doi: 10.1097/CEJ.0b013e32833ad353.

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.

Publication types

  • Comparative Study
  • Randomized Controlled Trial

MeSH terms

  • Adolescent
  • Adult
  • Aged
  • Artificial Intelligence
  • Female
  • Follow-Up Studies
  • Hodgkin Disease / diagnosis*
  • Hodgkin Disease / prevention & control
  • Humans
  • Male
  • Middle Aged
  • Neural Networks, Computer*
  • Prognosis
  • Secondary Prevention
  • Young Adult