Diagnosing thyroid disorders: Comparison of logistic regression and neural network models

Diagnosing thyroid disorders: Comparison of logistic regression and neural network models

Background: The main goal of this study was to diagnose the two most common thyroid disorders, namely, hyperthyroidism and hypothyroidism, based on multinomial logistic regression and neural network models. In addition, the study evaluated the predictive ability of laboratory tests against the indiv...

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Bibliographic Details
Main Authors: Shiva Borzouei, Hossein Mahjub, Negar Asaad Sajadi, Maryam Farhadian
Format: Article
Language:English
Published: Wolters Kluwer Medknow Publications 2020-01-01
Series:Journal of Family Medicine and Primary Care
Subjects:
classification
multinomial logistic model
neural networks
thyroid disorder
Online Access:http://www.jfmpc.com/article.asp?issn=2249-4863;year=2020;volume=9;issue=3;spage=1470;epage=1476;aulast=Borzouei

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http://www.jfmpc.com/article.asp?issn=2249-4863;year=2020;volume=9;issue=3;spage=1470;epage=1476;aulast=Borzouei

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