Simplified assessment of castration-induced pain in pigs using lower complexity algorithms

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Autor(es): dc.contributorUniversidade Estadual Paulista (UNESP)-
Autor(es): dc.contributorNorth Carolina State University (NCSU)-
Autor(es): dc.creatorda Silva, Gustavo Venâncio-
Autor(es): dc.creatorPivato, Giovana Mancilla-
Autor(es): dc.creatorPeres, Beatriz Granetti-
Autor(es): dc.creatorLuna, Stelio Pacca Loureiro-
Autor(es): dc.creatorPairis-Garcia, Monique Danielle-
Autor(es): dc.creatorTrindade, Pedro Henrique Esteves-
Data de aceite: dc.date.accessioned2025-08-21T17:47:26Z-
Data de disponibilização: dc.date.available2025-08-21T17:47:26Z-
Data de envio: dc.date.issued2025-04-29-
Data de envio: dc.date.issued2023-11-30-
Fonte completa do material: dc.identifierhttp://dx.doi.org/10.1038/s41598-023-48551-1-
Fonte completa do material: dc.identifierhttps://hdl.handle.net/11449/303126-
Fonte: dc.identifier.urihttp://educapes.capes.gov.br/handle/11449/303126-
Descrição: dc.descriptionPigs are raised on a global scale for commercial or research purposes and often experience pain as a by product of management practices and procedures performed. Therefore, ensuring pain can be effectively identified and monitored in these settings is critical to ensure appropriate pig welfare. The Unesp-Botucatu Pig Composite Acute Pain Scale (UPAPS) was validated to diagnose pain in pre-weaned and weaned pigs using a combination of six behavioral items. To date, statistical weighting of supervised and unsupervised algorithms was not compared in ranking pain-altered behaviors in swine has not been performed. Therefore, the aim of this study was to verify if supervised and unsupervised algorithms with different levels of complexity can improve UPAPS pain diagnosis in pigs undergoing castration. The predictive capacity of the algorithms was evaluated by the area under the curve (AUC). Lower complexity algorithms containing fewer pain-altered behaviors had similar AUC (90.1–90.6) than algorithms containing five (89.18–91.24) and UPAPS (90.58). In conclusion, utilizing a short version of the UPAPS did not influence the predictive capacity of the scale, and therefore it may be easier to apply and be implemented consistently to monitor pain in commercial and experimental settings.-
Descrição: dc.descriptionCoordenação de Aperfeiçoamento de Pessoal de Nível Superior (CAPES)-
Descrição: dc.descriptionLaboratory of Applied Artificial Intelligence in Health (LAAIH) Department of Anesthesiology Botucatu Medical School São Paulo State University (Unesp), São Paulo-
Descrição: dc.descriptionDepartment of Veterinary Surgery and Animal Reproduction School of Veterinary Medicine and Animal Science São Paulo State University (Unesp), São Paulo-
Descrição: dc.descriptionGlobal Production Animal Welfare Laboratory Department of Population Health and Pathobiology College of Veterinary Medicine North Carolina State University (NCSU)-
Descrição: dc.descriptionLaboratory of Applied Artificial Intelligence in Health (LAAIH) Department of Anesthesiology Botucatu Medical School São Paulo State University (Unesp), São Paulo-
Descrição: dc.descriptionDepartment of Veterinary Surgery and Animal Reproduction School of Veterinary Medicine and Animal Science São Paulo State University (Unesp), São Paulo-
Descrição: dc.descriptionCAPES: 001-
Descrição: dc.descriptionCAPES: 002-
Idioma: dc.languageen-
Relação: dc.relationScientific Reports-
???dc.source???: dc.sourceScopus-
Título: dc.titleSimplified assessment of castration-induced pain in pigs using lower complexity algorithms-
Tipo de arquivo: dc.typelivro digital-
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