Artificial Neural Network for Prediction of Distant Metastasis in Colorectal Cancer
Author(s) -
Akbar Biglarian,
Enayatollah Bakhshi,
Mahmood Reza Gohari,
Reza Khodabakhshi
Publication year - 2012
Publication title -
asian pacific journal of cancer prevention
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.512
H-Index - 75
eISSN - 2476-762X
pISSN - 1513-7368
DOI - 10.7314/apjcp.2012.13.3.927
Subject(s) - artificial neural network , logistic regression , colorectal cancer , concordance , receiver operating characteristic , shahid , medicine , artificial intelligence , predictive modelling , machine learning , computer science , cancer , philosophy , theology
Artificial neural networks (ANNs) are flexible and nonlinear models which can be used by clinical oncologists in medical research as decision making tools. This study aimed to predict distant metastasis (DM) of colorectal cancer (CRC) patients using an ANN model.
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