An Artificial Neural Network Approach and a Data Augmentation Algorithm to Systematize the Diagnosis of Deep-Vein Thrombosis by Using Wells’ Criteria

An Artificial Neural Network Approach and a Data Augmentation Algorithm to Systematize the Diagnosis of Deep-Vein Thrombosis by Using Wells’ Criteria

The use of a back-propagation artificial neural network (ANN) to systematize the reliability of a Deep Vein Thrombosis (DVT) diagnostic by using Wells’ criteria is introduced herein. In this paper, a new ANN model is proposed to improve the Accuracy when dealing with a highly unbalanced dataset. To...

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Bibliographic Details
Main Authors: María Berenice Fong-Mata , Enrique Efrén García-Guerrero , David Abdel Mejía-Medina, Oscar Roberto López-Bonilla , Luis Jesús Villarreal-Gómez , Francisco Zamora-Arellano, Didier López-Mancilla , Everardo Inzunza-González 
Format: Article
Language:English
Published: MDPI AG 2020-11-01
Series:Electronics
Subjects:
machine-learning
neural network
data augmentation
clinical decision support systems
CDSS
deep-vein thrombosis
Online Access:https://www.mdpi.com/2079-9292/9/11/1810

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