Classification of FAMACHA© Scores with Support Vector Machine Algorithm from Body Condition Score and Hematological Parameters in Pelibuey Sheep.

IF 2.7 2区农林科学 Q1 AGRICULTURE, DAIRY & ANIMAL SCIENCE

Animals Pub Date : 2025-03-04 DOI:10.3390/ani15050737

Oswaldo Margarito Torres-Chable, Cem Tırınk, Rosa Inés Parra-Cortés, Miguel Ángel Gastelum Delgado, Ignacio Vázquez Martínez, Armando Gomez-Vazquez, Aldenamar Cruz-Hernandez, Enrique Camacho-Pérez, Dany Alejandro Dzib-Cauich, Uğur Şen, Hacer Tüfekci, Lütfi Bayyurt, Hilal Tozlu Çelik, Ömer Faruk Yılmaz, Alfonso J Chay-Canul

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引用次数: 0

Abstract

The aim of this study is to evaluate the model performance in the classification of FAMACHA© scores using Support Vector Machines (SVMs) with a focus on the estimation of the FAMACHA© scoring system used for early diagnosis and treatment management of parasitic infections. FAMACHA© scores are a color-based visual assessment system used to determine parasite load in animals, and in this study, the accuracy of the model was investigated. The model's accuracy rate was analyzed in detail with metrics such as sensitivity, specificity, and positive/negative predictive values. The results showed that the model had high sensitivity and specificity rates for class 1 and class 3, while the performance was relatively low for class 2. These findings not only demonstrate that SVM is an effective method for classifying FAMACHA© scores but also highlight the need for improvement for class 2. In particular, the high accuracy rate (97.26%) and high kappa value (0.9588) of the model indicate that SVM is a reliable tool for FAMACHA© score estimation. In conclusion, this study demonstrates the potential of SVM technology in veterinary epidemiology and provides important information for future applications. These results may contribute to efforts to improve scientific approaches for the management of parasitic infections.

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来源期刊

Animals Agricultural and Biological Sciences-Animal Science and Zoology

CiteScore

4.90

自引率

16.70%

发文量

3015

审稿时长

20.52 days

期刊介绍： Animals (ISSN 2076-2615) is an international and interdisciplinary scholarly open access journal. It publishes original research articles, reviews, communications, and short notes that are relevant to any field of study that involves animals, including zoology, ethnozoology, animal science, animal ethics and animal welfare. However, preference will be given to those articles that provide an understanding of animals within a larger context (i.e., the animals'' interactions with the outside world, including humans). There is no restriction on the length of the papers. Our aim is to encourage scientists to publish their experimental and theoretical research in as much detail as possible. Full experimental details and/or method of study, must be provided for research articles. Articles submitted that involve subjecting animals to unnecessary pain or suffering will not be accepted, and all articles must be submitted with the necessary ethical approval (please refer to the Ethical Guidelines for more information).