The Evolution of a Malignancy Risk Prediction Model for Thyroid Nodules Using the Artificial Neural Network

The Evolution of a Malignancy Risk Prediction Model for Thyroid Nodules Using the Artificial Neural Network

Background: Clinically frank thyroid nodules are common and believed to be present in 4% to 10% of the adult population in the United States. In the current literature, fine needle aspiration biopsies are considered to be the milestone of a model which helps the physician decide whether a certain...

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Bibliographic Details
Main Authors: Shahram Paydar, Saeedeh Pourahmad, Mohsen Azad, Shahram Bolandparvaz, Reza Taheri, Zahra Ghahramani, Ali Zamani, Marjan Jeddi, Fariba Karimi, Mohammad Hossein Dabbaghmanesh, Mesbah Shams, Hamid Reza Abbasi
Format: Article
Language:English
Published: Shiraz University of Medical Sciences 2016-01-01
Series:Middle East Journal of Cancer
Subjects:
Malignancy
Risk prediction model
Thyroid nodules
Artificial neural network Received: April 25
2015; Accepted: August 12
Artificial neural network
Online Access:http://mejc.sums.ac.ir/index.php/mejc/article/view/279/243

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http://mejc.sums.ac.ir/index.php/mejc/article/view/279/243

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