{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,8,28]],"date-time":"2026-08-28T23:45:58Z","timestamp":1787960758551,"version":"build-2784847793"},"reference-count":56,"publisher":"Elsevier BV","license":[{"start":{"date-parts":[[2026,2,1]],"date-time":"2026-02-01T00:00:00Z","timestamp":1769904000000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.elsevier.com\/tdm\/userlicense\/1.0\/"},{"start":{"date-parts":[[2026,2,1]],"date-time":"2026-02-01T00:00:00Z","timestamp":1769904000000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.elsevier.com\/legal\/tdmrep-license"},{"start":{"date-parts":[[2026,2,1]],"date-time":"2026-02-01T00:00:00Z","timestamp":1769904000000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-017"},{"start":{"date-parts":[[2026,2,1]],"date-time":"2026-02-01T00:00:00Z","timestamp":1769904000000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-037"},{"start":{"date-parts":[[2026,2,1]],"date-time":"2026-02-01T00:00:00Z","timestamp":1769904000000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-012"},{"start":{"date-parts":[[2026,2,1]],"date-time":"2026-02-01T00:00:00Z","timestamp":1769904000000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-029"},{"start":{"date-parts":[[2026,2,1]],"date-time":"2026-02-01T00:00:00Z","timestamp":1769904000000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-004"}],"funder":[{"DOI":"10.13039\/501100004704","name":"National Research Council of Thailand","doi-asserted-by":"publisher","award":["920413"],"award-info":[{"award-number":["920413"]}],"id":[{"id":"10.13039\/501100004704","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/100000200","name":"United States Agency for International Development","doi-asserted-by":"publisher","award":["SEAOHUN\/2023-SC238"],"award-info":[{"award-number":["SEAOHUN\/2023-SC238"]}],"id":[{"id":"10.13039\/100000200","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/100019910","name":"Southeast Asia One Health University Network","doi-asserted-by":"publisher","id":[{"id":"10.13039\/100019910","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100004071","name":"Khon Kaen University","doi-asserted-by":"publisher","award":["VM03\/2567"],"award-info":[{"award-number":["VM03\/2567"]}],"id":[{"id":"10.13039\/501100004071","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":["clinicalkey.com","clinicalkey.com.au","clinicalkey.es","clinicalkey.fr","clinicalkey.jp","elsevier.com","sciencedirect.com"],"crossmark-restriction":true},"short-container-title":["Parasitology International"],"published-print":{"date-parts":[[2026,2]]},"DOI":"10.1016\/j.parint.2025.103140","type":"journal-article","created":{"date-parts":[[2025,8,6]],"date-time":"2025-08-06T03:08:03Z","timestamp":1754449683000},"page":"103140","update-policy":"https:\/\/doi.org\/10.1016\/elsevier_cm_policy","source":"Crossref","is-referenced-by-count":2,"special_numbering":"C","title":["Leveraging machine learning for predicting Opisthorchis viverrini infection in cats: A tool for veterinary epidemiology"],"prefix":"10.1016","volume":"110","author":[{"given":"Petcharat","family":"Chompo","sequence":"first","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Veerasak","family":"Punyapornwithaya","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Banchob","family":"Sripa","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Sirikachorn","family":"Tangkawattana","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"78","reference":[{"key":"10.1016\/j.parint.2025.103140_bb0005","doi-asserted-by":"crossref","DOI":"10.1016\/j.actatropica.2021.106133","article-title":"Current status of human liver fluke infections in the greater Mekong subregion","volume":"224","author":"Sripa","year":"2021","journal-title":"Acta Trop."},{"key":"10.1016\/j.parint.2025.103140_bb0010","doi-asserted-by":"crossref","first-page":"69","DOI":"10.1016\/bs.apar.2018.05.003","article-title":"Reservoir animals and their roles in transmission of Opisthorchis viverrini","volume":"101","author":"Tangkawattana","year":"2018","journal-title":"Adv. Parasitol."},{"key":"10.1016\/j.parint.2025.103140_bb0015","doi-asserted-by":"crossref","first-page":"60","DOI":"10.1016\/j.parint.2011.08.004","article-title":"High prevalence of Opisthorchis viverrini infection in reservoir hosts in four districts of Khon Kaen Province, an opisthorchiasis endemic area of Thailand","volume":"61","author":"Aunpromma","year":"2012","journal-title":"Parasitol. Int."},{"key":"10.1016\/j.parint.2025.103140_bb0020","doi-asserted-by":"crossref","DOI":"10.1016\/j.vetpar.2024.110150","article-title":"Association between Opisthorchis viverrini infection in cats and humans: non-spatial and spatial analyses","volume":"327","author":"Sota","year":"2024","journal-title":"Vet. Parasitol."},{"key":"10.1016\/j.parint.2025.103140_bb0025","doi-asserted-by":"crossref","first-page":"1334","DOI":"10.1017\/S0031182022000646","article-title":"Does Opisthorchis viverrini circulate between humans and domestic cats in an endemic area in Thailand?","volume":"149","author":"Sota","year":"2022","journal-title":"Parasitology"},{"key":"10.1016\/j.parint.2025.103140_bb0030","doi-asserted-by":"crossref","first-page":"1","DOI":"10.1186\/s12916-024-03566-x","article-title":"Integrating machine learning and artificial intelligence in life-course epidemiology: pathways to innovative public health solutions","volume":"22","author":"Chen","year":"2024","journal-title":"BMC Med."},{"key":"10.1016\/j.parint.2025.103140_bb0035","doi-asserted-by":"crossref","DOI":"10.1016\/j.prevetmed.2022.105706","article-title":"Exploring the predictive capability of machine learning models in identifying foot and mouth disease outbreak occurrences in cattle farms in an endemic setting of Thailand","volume":"207","author":"Punyapornwithaya","year":"2022","journal-title":"Prev. Vet. Med."},{"key":"10.1016\/j.parint.2025.103140_bb0040","doi-asserted-by":"crossref","DOI":"10.3389\/fvets.2023.1189157","article-title":"Machine learning-based risk prediction model for canine myxomatous mitral valve disease using electronic health record data","volume":"10","author":"Kim","year":"2023","journal-title":"Front Vet Sci"},{"key":"10.1016\/j.parint.2025.103140_bb0045","doi-asserted-by":"crossref","first-page":"21","DOI":"10.1146\/annurev-publhealth-040119-094437","article-title":"Machine learning in epidemiology and health outcomes research","volume":"41","author":"Wiemken","year":"2020","journal-title":"Annu. Rev. Public Health"},{"key":"10.1016\/j.parint.2025.103140_bb0050","doi-asserted-by":"crossref","first-page":"5","DOI":"10.1023\/A:1010933404324","article-title":"Random forests","volume":"45","author":"Breiman","year":"2001","journal-title":"Mach. Learn."},{"key":"10.1016\/j.parint.2025.103140_bb0055","series-title":"The Elements of Statistical Learning, Springer New York, New York, NY","author":"Hastie","year":"2009"},{"key":"10.1016\/j.parint.2025.103140_bb0060","first-page":"187","article-title":"6 logistic regression, handbook of","volume":"27","author":"Spitznagel","year":"2007","journal-title":"Statistics"},{"key":"10.1016\/j.parint.2025.103140_bb0065","series-title":"XGBoost: A Scalable Tree Boosting System, Proceedings of the ACM SIGKDD International Conference on Knowledge Discovery and Data Mining 13\u201317-August-2016","first-page":"785","author":"Chen","year":"2016"},{"key":"10.1016\/j.parint.2025.103140_bb0070","first-page":"1269","article-title":"Parameter investigation of support vector machine classifier with kernel functions, Knowl","volume":"61","author":"Tharwat","year":"2019","journal-title":"Inf. Syst."},{"key":"10.1016\/j.parint.2025.103140_bb0075","doi-asserted-by":"crossref","DOI":"10.3389\/fvets.2017.00110","article-title":"Translating big data into smart data for veterinary epidemiology","volume":"4","author":"VanderWaal","year":"2017","journal-title":"Front Vet Sci"},{"key":"10.1016\/j.parint.2025.103140_bb0080","doi-asserted-by":"crossref","first-page":"116","DOI":"10.25046\/aj020316","article-title":"Medical imbalanced data classification","volume":"2","author":"Belarouci","year":"2017","journal-title":"Adv. Sci. Technol. Eng. Syst."},{"key":"10.1016\/j.parint.2025.103140_bb0085","doi-asserted-by":"crossref","first-page":"1","DOI":"10.1186\/s12859-023-05156-9","article-title":"Evaluation of a decided sample size in machine learning applications","volume":"24","author":"Rajput","year":"2023","journal-title":"BMC Bioinforma."},{"key":"10.1016\/j.parint.2025.103140_bb0090","article-title":"Machine learning outperformed logistic regression classification even with limit sample size: a model to predict pediatric HIV mortality and clinical progression to AIDS","volume":"17","author":"Rodriguez","year":"2022","journal-title":"PLoS One"},{"key":"10.1016\/j.parint.2025.103140_bb0095","doi-asserted-by":"crossref","DOI":"10.1016\/j.artmed.2020.101822","article-title":"Automated machine learning: review of the state-of-the-art and opportunities for healthcare","volume":"104","author":"Waring","year":"2020","journal-title":"Artif. Intell. Med."},{"key":"10.1016\/j.parint.2025.103140_bb0100","series-title":"R: A Language and Environment for Statistical Computing","author":"R Core Team","year":"2023"},{"key":"10.1016\/j.parint.2025.103140_bb0105","doi-asserted-by":"crossref","DOI":"10.1371\/journal.pntd.0010517","article-title":"Machine learning-based risk factor analysis and prevalence prediction of intestinal parasitic infections using epidemiological survey data","volume":"16","author":"Zafar","year":"2022","journal-title":"PLoS Negl. Trop. Dis."},{"key":"10.1016\/j.parint.2025.103140_bb0110","author":"Google for Developers"},{"key":"10.1016\/j.parint.2025.103140_bb0115","doi-asserted-by":"crossref","first-page":"321","DOI":"10.1613\/jair.953","article-title":"SMOTE: synthetic minority over-sampling technique","volume":"16","author":"Chawla","year":"2002","journal-title":"J. Artif. Intell. Res."},{"key":"10.1016\/j.parint.2025.103140_bb0120","doi-asserted-by":"crossref","first-page":"4903","DOI":"10.1007\/s10994-022-06296-4","article-title":"A theoretical distribution analysis of synthetic minority oversampling technique (SMOTE) for imbalanced learning","volume":"113","author":"Elreedy","year":"2024","journal-title":"Mach. Learn."},{"key":"10.1016\/j.parint.2025.103140_bb0125","doi-asserted-by":"crossref","first-page":"534","DOI":"10.1001\/jamapsychiatry.2019.3671","article-title":"Establishment of best practices for evidence for prediction: a review","volume":"77","author":"Poldrack","year":"2020","journal-title":"JAMA Psychiatry"},{"key":"10.1016\/j.parint.2025.103140_bb0130","article-title":"Evaluation measures for models assessment over imbalanced data sets","volume":"3","author":"Bekkar","year":"2013","journal-title":"J. Informa. Eng. Appl."},{"key":"10.1016\/j.parint.2025.103140_bb0135","series-title":"Applied logistic regression","author":"Hosmer","year":"2013"},{"key":"10.1016\/j.parint.2025.103140_bb0140","doi-asserted-by":"crossref","first-page":"565","DOI":"10.1111\/2041-210X.13140","article-title":"The area under the precision-recall curve as a performance metric for rare binary events","volume":"10","author":"Sofaer","year":"2019","journal-title":"Methods Ecol. Evol."},{"key":"10.1016\/j.parint.2025.103140_bb0145","article-title":"A unified approach to interpreting model predictions","volume":"30","author":"Lundberg","year":"2017","journal-title":"Adv. Neural Inf. Proces. Syst."},{"key":"10.1016\/j.parint.2025.103140_bb0150","doi-asserted-by":"crossref","first-page":"1226","DOI":"10.1109\/TPAMI.2005.159","article-title":"Feature selection based on mutual information: criteria of max-dependency, max-relevance, and min-redundancy","volume":"27","author":"Peng","year":"2005","journal-title":"IEEE Trans. Pattern Anal. Mach. Intell."},{"key":"10.1016\/j.parint.2025.103140_bb0155","doi-asserted-by":"crossref","DOI":"10.1371\/journal.pone.0217057","article-title":"Penalized logistic regression with low prevalence exposures beyond high dimensional settings","volume":"14","author":"Doerken","year":"2019","journal-title":"PLoS One"},{"key":"10.1016\/j.parint.2025.103140_bb0160","doi-asserted-by":"crossref","DOI":"10.1155\/2021\/2213194","article-title":"A hybrid method to predict postoperative survival of lung Cancer using improved SMOTE and adaptive SVM","volume":"2021","author":"Shen","year":"2021","journal-title":"Comput. Math. Methods Med."},{"key":"10.1016\/j.parint.2025.103140_bb0165","doi-asserted-by":"crossref","first-page":"110","DOI":"10.1016\/j.jcrc.2019.08.010","article-title":"Comparison between logistic regression and machine learning algorithms on survival prediction of traumatic brain injuries","volume":"54","author":"Feng","year":"2019","journal-title":"J. Crit. Care"},{"key":"10.1016\/j.parint.2025.103140_bb0170","doi-asserted-by":"crossref","DOI":"10.1371\/journal.pone.0224365","article-title":"Machine learning algorithm validation with a limited sample size","volume":"14","author":"Vabalas","year":"2019","journal-title":"PLoS One"},{"key":"10.1016\/j.parint.2025.103140_bb0175","doi-asserted-by":"crossref","first-page":"57","DOI":"10.1007\/s10651-023-00590-7","article-title":"Logistic regression versus XGBoost for detecting burned areas using satellite images","volume":"31","author":"Militino","year":"2024","journal-title":"Environ. Ecol. Stat."},{"key":"10.1016\/j.parint.2025.103140_bb0180","first-page":"1","article-title":"Tunability: importance of hyperparameters of machine learning algorithms","volume":"20","author":"Probst","year":"2019","journal-title":"J. Mach. Learn. Res."},{"key":"10.1016\/j.parint.2025.103140_bb0185","doi-asserted-by":"crossref","first-page":"1364","DOI":"10.1007\/s10618-024-01002-5","article-title":"Better trees: an empirical study on hyperparameter tuning of classification decision tree induction algorithms","volume":"38","author":"Gomes Mantovani","year":"2024","journal-title":"Data Min. Knowl. Disc."},{"key":"10.1016\/j.parint.2025.103140_bb0190","doi-asserted-by":"crossref","first-page":"79974","DOI":"10.1109\/ACCESS.2022.3191669","article-title":"An effective heart disease detection and severity level classification model using machine learning and hyperparameter optimization methods","volume":"10","author":"Abdellatif","year":"2022","journal-title":"IEEE Access"},{"key":"10.1016\/j.parint.2025.103140_bb0195","doi-asserted-by":"crossref","DOI":"10.1371\/journal.pone.0118432","article-title":"The precision-recall plot is more informative than the ROC plot when evaluating binary classifiers on imbalanced datasets","volume":"10","author":"Saito","year":"2015","journal-title":"PLoS One"},{"key":"10.1016\/j.parint.2025.103140_bb0200","first-page":"1153","article-title":"Prevlence and risk factors for Opisthorchis viverrini infection among cats and dogs in six districts surrounding the ubolratana dam, an endemic area for human opisthorchiasis in Northeastern Thailand","volume":"47","author":"Aunpromma","year":"2016","journal-title":"Southeast Asian J. Trop. Med. Public Health"},{"key":"10.1016\/j.parint.2025.103140_bb0205","first-page":"36","article-title":"Prevalence of Opisthorchis viverrini infection in the canine and feline hosts in three villages, Khon Kaen Province, northeastern Thailand","volume":"41","author":"Enes","year":"2010","journal-title":"Southeast Asian J. Trop. Med. Public Health"},{"key":"10.1016\/j.parint.2025.103140_bb0210","doi-asserted-by":"crossref","first-page":"527","DOI":"10.3347\/kjp.2020.58.5.527","article-title":"Reduction of reinfection rates with Opisthorchis viverrini through a three-year management program in endemic areas of Northeastern Thailand","volume":"58","author":"Prakobwong","year":"2020","journal-title":"Korean J. Parasitol."},{"key":"10.1016\/j.parint.2025.103140_bb0215","doi-asserted-by":"crossref","DOI":"10.1016\/j.actatropica.2023.107013","article-title":"Roaming behavior of the owned domestic cats (Felis catus) with possible roles in the transmission of Opisthorchis viverrini in the endemic area in Khon Kaen, Thailand","volume":"247","author":"Sakamoto","year":"2023","journal-title":"Acta Trop."},{"key":"10.1016\/j.parint.2025.103140_bb0220","first-page":"2853","article-title":"A large scale study of the epidemiology and risk factors for the carcinogenic liver fluke Opisthorchis viverrini in Udon Thani Province, Thailand","volume":"18","author":"Prakobwong","year":"2017","journal-title":"Asian Pac. J. Cancer Prev."},{"key":"10.1016\/j.parint.2025.103140_bb0225","doi-asserted-by":"crossref","first-page":"298","DOI":"10.1515\/helm-2017-0036","article-title":"Epidemiology of Opisthorchis viverrini in an endemic area of Thailand, an integrative approach","volume":"54","author":"Prakobwong","year":"2017","journal-title":"Helminthologia (Poland)"},{"key":"10.1016\/j.parint.2025.103140_bb0230","doi-asserted-by":"crossref","first-page":"187","DOI":"10.1016\/j.actatropica.2003.02.001","article-title":"Epidemiology of Opisthorchis viverrini","volume":"88","author":"Sithithaworn","year":"2003","journal-title":"Acta Trop."},{"key":"10.1016\/j.parint.2025.103140_bb0235","doi-asserted-by":"crossref","first-page":"243","DOI":"10.1007\/s00436-016-5285-x","article-title":"Modeling impacts of climate change on the potential distribution of the carcinogenic liver fluke, Opisthorchis viverrini, in Thailand","volume":"116","author":"Suwannatrai","year":"2017","journal-title":"Parasitol. Res."},{"key":"10.1016\/j.parint.2025.103140_bb0240","series-title":"Adv Parasitol","first-page":"115","article-title":"Integrative EcoHealth\/one health approach for sustainable liver fluke control","author":"Tangkawattana","year":"2018"},{"key":"10.1016\/j.parint.2025.103140_bb0245","doi-asserted-by":"crossref","DOI":"10.1371\/journal.pntd.0005121","article-title":"Seasonal and spatial environmental influence on Opisthorchis viverrini intermediate hosts, abundance, and distribution: insights on transmission dynamics and sustainable control","volume":"10","author":"Kim","year":"2016","journal-title":"PLoS Negl. Trop. Dis."},{"key":"10.1016\/j.parint.2025.103140_bb0250","doi-asserted-by":"crossref","first-page":"328","DOI":"10.1007\/s10393-012-0789-z","article-title":"Examining landscape determinants of Opisthorchis viverrini transmission","volume":"9","author":"Wang","year":"2012","journal-title":"Ecohealth"},{"key":"10.1016\/j.parint.2025.103140_bb0255","doi-asserted-by":"crossref","first-page":"361","DOI":"10.1016\/j.actatropica.2014.07.017","article-title":"Toward integrated opisthorchiasis control in Northeast Thailand: the Lawa project","volume":"141","author":"Sripa","year":"2015","journal-title":"Acta Trop."},{"key":"10.1016\/j.parint.2025.103140_bb0260","doi-asserted-by":"crossref","first-page":"101","DOI":"10.1016\/j.actatropica.2018.08.008","article-title":"Modeling liver fluke transmission in Northeast Thailand: impacts of development, hydrology, and control","volume":"188","author":"Le\u00f3n","year":"2018","journal-title":"Acta Trop."},{"key":"10.1016\/j.parint.2025.103140_bb0265","doi-asserted-by":"crossref","first-page":"1779","DOI":"10.1292\/jvms.16-0293","article-title":"Prevalence of gastrointestinal helminth parasites of zoonotic significance in dogs and cats in lower northern Thailand","volume":"78","author":"Pumidonming","year":"2016","journal-title":"J. Vet. Med. Sci."},{"issue":"9","key":"10.1016\/j.parint.2025.103140_bb0270","first-page":"1","article-title":"Small data machine learning in materials science","volume":"1","author":"Xu","year":"2023","journal-title":"Npj Comput. Mater. 2023 9"},{"key":"10.1016\/j.parint.2025.103140_bb0275","doi-asserted-by":"crossref","DOI":"10.1016\/j.eswa.2024.124399","article-title":"SPE-SHAP: self-paced ensemble with Shapley additive explanation for the analysis of aviation turbulence triggered by wind shear events","volume":"254","author":"Khattak","year":"2024","journal-title":"Expert Syst. Appl."},{"key":"10.1016\/j.parint.2025.103140_bb0280","doi-asserted-by":"crossref","first-page":"e489","DOI":"10.1016\/S2589-7500(20)30186-2","article-title":"The myth of generalisability in clinical research and machine learning in health care","volume":"2","author":"Futoma","year":"2020","journal-title":"Lancet Digit Health"}],"container-title":["Parasitology International"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/api.elsevier.com\/content\/article\/PII:S1383576925001138?httpAccept=text\/xml","content-type":"text\/xml","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/api.elsevier.com\/content\/article\/PII:S1383576925001138?httpAccept=text\/plain","content-type":"text\/plain","content-version":"vor","intended-application":"text-mining"}],"deposited":{"date-parts":[[2025,11,5]],"date-time":"2025-11-05T20:43:00Z","timestamp":1762375380000},"score":1,"resource":{"primary":{"URL":"https:\/\/linkinghub.elsevier.com\/retrieve\/pii\/S1383576925001138"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2026,2]]},"references-count":56,"alternative-id":["S1383576925001138"],"URL":"https:\/\/doi.org\/10.1016\/j.parint.2025.103140","relation":{},"ISSN":["1383-5769"],"issn-type":[{"value":"1383-5769","type":"print"}],"subject":[],"published":{"date-parts":[[2026,2]]},"assertion":[{"value":"Elsevier","name":"publisher","label":"This article is maintained by"},{"value":"Leveraging machine learning for predicting Opisthorchis viverrini infection in cats: A tool for veterinary epidemiology","name":"articletitle","label":"Article Title"},{"value":"Parasitology International","name":"journaltitle","label":"Journal Title"},{"value":"https:\/\/doi.org\/10.1016\/j.parint.2025.103140","name":"articlelink","label":"CrossRef DOI link to publisher maintained version"},{"value":"article","name":"content_type","label":"Content Type"},{"value":"\u00a9 2025 Elsevier B.V. All rights are reserved, including those for text and data mining, AI training, and similar technologies.","name":"copyright","label":"Copyright"}],"article-number":"103140"}}