Contribution of artificial intelligence to the knowledge of prognostic factors in Hodgkin's lymphoma.
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.
Buciński
Adam
A
Department of Biopharmacy, Faculty of Pharmacy, College of Medicine, Nicolaus Copernicus University, Bydgoszcz, Poland.
Marszałł
Michał Piotr
MP
Krysiński
Jerzy
J
Lemieszek
Andrzej
A
Załuski
Jerzy
J
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