Open AccessComparison of Artificial Neural Networks and Logistic Regression for 30-days Survival Prediction of Cancer Patients
Author(s) -
Funda Seçik Arkin,
Gülfidan Aras,
Elif Doğu
Publication year - 2020
Publication title -
acta informatica medica
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.267
H-Index - 20
eISSN - 1986-5988
pISSN - 0353-8109
DOI - 10.5455/aim.2020.28.108-113
Subject(s) - logistic regression , medicine , artificial neural network , regression analysis , statistics , palliative care , survival analysis , machine learning , artificial intelligence , computer science , mathematics , nursing
A machine learning technique that imitates neural system and brain can provide better than traditional methods like logistic regression for survival prediction and create an algorithm by determining influential factors.