Improving the Prediction of Survival in Cancer Patients by Using Machine Learning Techniques: Experience of Gene Expression Data: A Narrative Review

Improving the Prediction of Survival in Cancer Patients by Using Machine Learning Techniques: Experience of Gene Expression Data: A Narrative Review

Background: Today, despite the many advances in early detection of diseases, cancer patients have a poor prognosis and the survival rates in them are low. Recently, microarray technologies have been used for gathering thousands data about the gene expression level of cancer cells. These types of dat...

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Bibliographic Details
Main Authors: Azadeh BASHIRI, Marjan GHAZISAEEDI, Reza SAFDARI, Leila SHAHMORADI, Hamide EHTESHAM
Format: Article
Language:English
Published: Tehran University of Medical Sciences 2017-02-01
Series:Iranian Journal of Public Health
Subjects:
Survival
Cancer
Gene expression
Machine-learning techniques
Clinical decision support system
Online Access:https://ijph.tums.ac.ir/index.php/ijph/article/view/9044

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