{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,1,18]],"date-time":"2026-01-18T21:09:33Z","timestamp":1768770573927,"version":"3.49.0"},"reference-count":31,"publisher":"MDPI AG","issue":"9","license":[{"start":{"date-parts":[[2022,4,20]],"date-time":"2022-04-20T00:00:00Z","timestamp":1650412800000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by\/4.0\/"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["Sensors"],"abstract":"<jats:p>Proposal techniques that reduce financial costs in the diagnosis and treatment of animal diseases are welcome. This work uses some machine learning techniques to classify whether or not cases of canine visceral leishmaniasis are present by physical examinations. For validation of the method, four machine learning models were chosen: K-nearest neighbor, Na\u00efve Bayes, support vector machine and logistic regression models. The tests were performed on three hundred and forty dogs, using eighteen characteristics of the animal and the ELISA (enzyme-linked immunosorbent assay) serological test as validation. Logistic regression achieved the best metrics: Accuracy of 75%, sensitivity of 84%, specificity of 67%, a positive likelihood ratio of 2.53 and a negative likelihood ratio of 0.23, showing a positive relationship in the evaluation between the true positives and rejecting the cases of false negatives.<\/jats:p>","DOI":"10.3390\/s22093128","type":"journal-article","created":{"date-parts":[[2022,4,20]],"date-time":"2022-04-20T00:22:43Z","timestamp":1650414163000},"page":"3128","update-policy":"https:\/\/doi.org\/10.3390\/mdpi_crossmark_policy","source":"Crossref","is-referenced-by-count":9,"title":["Diagnostic Classification of Cases of Canine Leishmaniasis Using Machine Learning"],"prefix":"10.3390","volume":"22","author":[{"given":"Tiago S.","family":"Ferreira","sequence":"first","affiliation":[{"name":"Graduating Program in Computation Engineering and Systems, State University of Maranh\u00e3o, S\u00e3o Lu\u00eds 65690-000, Brazil"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Ewaldo E. C.","family":"Santana","sequence":"additional","affiliation":[{"name":"Graduating Program in Computation Engineering and Systems, State University of Maranh\u00e3o, S\u00e3o Lu\u00eds 65690-000, Brazil"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-9415-7265","authenticated-orcid":false,"given":"Ant\u00f4nio F. L.","family":"Jacob Junior","sequence":"additional","affiliation":[{"name":"Graduating Program in Computation Engineering and Systems, State University of Maranh\u00e3o, S\u00e3o Lu\u00eds 65690-000, Brazil"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-6088-6446","authenticated-orcid":false,"given":"Paulo F.","family":"Silva Junior","sequence":"additional","affiliation":[{"name":"Graduating Program in Computation Engineering and Systems, State University of Maranh\u00e3o, S\u00e3o Lu\u00eds 65690-000, Brazil"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Luciana S.","family":"Bastos","sequence":"additional","affiliation":[{"name":"Graduating Program in Animal Sciences, State University of Maranh\u00e3o, S\u00e3o Lu\u00eds 65690-000, Brazil"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Ana L. A.","family":"Silva","sequence":"additional","affiliation":[{"name":"Graduating Program in Animal Sciences, State University of Maranh\u00e3o, S\u00e3o Lu\u00eds 65690-000, Brazil"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Solange A.","family":"Melo","sequence":"additional","affiliation":[{"name":"Graduating Program in Animal Health Defense, State University of Maranh\u00e3o, S\u00e3o Lu\u00eds 65690-000, Brazil"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-0614-1379","authenticated-orcid":false,"given":"Carlos A. 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