title: Contribution of artificial intelligence to the knowledge of prognostic factors in Hodgkin's lymphoma.
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.
authors.affiliation: Department of Biopharmacy, Faculty of Pharmacy, College of Medicine, Nicolaus Copernicus University, Bydgoszcz, Poland.
authors.forename: Adam
authors.initials: A
authors.lastname: Buciński
authors.forename: Michał Piotr
authors.initials: MP
authors.lastname: Marszałł
authors.forename: Jerzy
authors.initials: J
authors.lastname: Krysiński
authors.forename: Andrzej
authors.initials: A
authors.lastname: Lemieszek
authors.forename: Jerzy
authors.initials: J
authors.lastname: Załuski
mesh_terms: D000293:Adolescent; D000328:Adult; D000368:Aged; D001185:Artificial Intelligence; D005260:Female; D005500:Follow-Up Studies; D006689:Hodgkin Disease / Q000175:diagnosis* / Q000517:prevention & control; D006801:Humans; D008297:Male; D008875:Middle Aged; D016571:Neural Networks, Computer; D011379:Prognosis; D055502:Secondary Prevention; D055815:Young Adult