Determination of Thyroid Gland State in referrals from Ahvaz University Jah ad laboratory: using Multilayer Perceptron Neural Network Discrimination in Comparing with Classical Discrimination Methods
| Author | Ferdos Mohamadi Basatini | en |
| Author | Zahra Chinipardaz | en |
| Author | Maryam Seyed Tabib | en |
| Issued Date | 2013-02-28 | en |
| Abstract | Background: One of the main objects in medical science is diagnosis the diseases and classification the patients to different classes. Consequently according to the above the patients that set in one classes should have maximum similarity with each other. Discrimination and classification analysis have been frequently used in medical data for diagnosis and prognostic of the disease. The wrong in the medical diagnosis is very important, hence the decrease of wrong diagnosis in the discrimination methods are to consider always. Different methods have been used for classification and discrimination of medical data for years. The intention of this research is determination the state of tiroid gland using linear, quadratic and logistic discrimination in camper with the most up-to-date method neural network discrimination. Methods: A total of 225 patients’ data from Jahad university laboratory has analyzed. The obtained data correlated to November 2005. Using spluss/2000 software the collected information proceeds within four methods. | en |
| DOI | https://doi.org/ | en |
| Keyword | Linear discrimination | en |
| Keyword | Quadratic discrimination | en |
| Keyword | Logistic discrimination | en |
| Keyword | neural network discrimination | en |
| Keyword | multilayer perceptron model | en |
| Keyword | misclassification probability | en |
| Publisher | Brieflands | en |
| Title | Determination of Thyroid Gland State in referrals from Ahvaz University Jah ad laboratory: using Multilayer Perceptron Neural Network Discrimination in Comparing with Classical Discrimination Methods | en |
| Type | Research Article | en |
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