Single and multiple time–point artificial neural networks models for predicting the survival of gastric cancer patients

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Single and multiple time–point artificial neural networks models for predicting the survival of gastric cancer patients

The extensive availability of recent computational models and data mining techniques for data analysis calls for researchers and practitioners in the medical field to opt for the most suitable strategies to confront clinical prediction problems. In many clinical research work, the main outcome...

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Bibliographic Details
Main Author:	Dezfouli, Hamid Nilsaz
Format:	Thesis
Language:	English
Published:	2016
Subjects:	Stomach - Cancer Stomach - Diseases Neural networks (Computer science)
Online Access:	http://psasir.upm.edu.my/id/eprint/67515/ http://psasir.upm.edu.my/id/eprint/67515/1/IPM%202016%2015%20IR.pdf

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