{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,10,22]],"date-time":"2026-10-22T06:33:18Z","timestamp":1792650798727,"version":"4.5.0"},"reference-count":50,"publisher":"American Society of Tropical Medicine and Hygiene","issue":"3","content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2025,9,3]]},"abstract":"<jats:title>ABSTRACT.<\/jats:title>\n<jats:p>Dengue with warning signs (DWS) and severe dengue are significant public health concerns in tropical and subtropical regions globally. Accurate and timely differentiation between these clinical forms of dengue, although crucial, is often complex. In this study, data mining techniques were applied to enhance diagnostic accuracy for clinical dengue (DWS and severe dengue) and to optimize clinical decision-making and patient management, particularly in resource-limited settings. A dataset of 1,341 patients from Oaxaca City, M\u00e9xico was analyzed. The database was used to train and test different machine learning algorithms. Precision rates were 62.4% and 82.9% in differentiating between DWS and severe dengue, respectively, using the efficient linear support vector machine model. In addition, other performance metrics were used in the models, such as recall\/sensitivity (90.8%), F1 score (73.8%), area under the curve (71.3%), and Cohen kappa (0.3593). The predictor weights were also analyzed with their Shapley values; the three most significant were hematemesis, ascites, and edema. In other words, these signs emerged as features that contribute most to the classification between DWS and severe dengue. These findings highlight the potential of data mining and machine learning techniques to enhance the differential diagnosis of dengue, particularly in resource-limited settings where timely intervention is crucial. Identifying critical risk factors with high specificity makes these models valuable tools for improving clinical decision-making and optimizing patient management. Future applications could enable health systems to prioritize resources more effectively during dengue outbreaks, ultimately contributing to better health outcomes in endemic regions.<\/jats:p>","DOI":"10.4269\/ajtmh.24-0742","type":"journal-article","created":{"date-parts":[[2025,7,15]],"date-time":"2025-07-15T17:31:00Z","timestamp":1752600660000},"page":"508-515","source":"Crossref","is-referenced-by-count":2,"title":["Using Data Mining to Differentiate Dengue with Warning Signs from Severe Dengue: A Predictive Model from Oaxaca, Mexico"],"prefix":"10.4269","volume":"113","author":[{"given":"V\u00edctor Hugo","family":"Ojeda Meixueiro","sequence":"first","affiliation":[{"name":"Divisi\u00f3n de Estudios de Posgrado e Investigaci\u00f3n, Tecnol\u00f3gico Nacional de M\u00e9xico\/Instituto Tecnol\u00f3gico de Oaxaca, Oaxaca, M\u00e9xico;"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Mar\u00eda Teresa","family":"Hern\u00e1ndez-Huerta","sequence":"additional","affiliation":[{"name":"SECIHTI, Facultad de Medicina y Cirug\u00eda, Universidad Aut\u00f3noma Benito Ju\u00e1rez de Oaxaca, Oaxaca, M\u00e9xico;"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Laura","family":"P\u00e9rez-Campos Mayoral","sequence":"additional","affiliation":[{"name":"UNAM-UABJO Research Center, Faculty of Medicine and Surgery, Universidad Aut\u00f3noma \u201cBenito Ju\u00e1rez\u201d de Oaxaca, Oaxaca, M\u00e9xico;"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"El\u00ed","family":"Cruz Parada","sequence":"additional","affiliation":[{"name":"Divisi\u00f3n de Estudios de Posgrado e Investigaci\u00f3n, Tecnol\u00f3gico Nacional de M\u00e9xico\/Instituto Tecnol\u00f3gico de Oaxaca, Oaxaca, M\u00e9xico;"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Jos\u00e9 Omar","family":"L\u00f3pez Ortiz","sequence":"additional","affiliation":[{"name":"Thrombosis, Hemostasis and Atherogenesis Medical Research Unit, Hospital General Regional No. 1 \u201cCarlos MacGregor S\u00e1nchez Navarro,\u201d Instituto Mexicano del Seguro Social, M\u00e9xico City, M\u00e9xico;"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Noe","family":"Gatica Valdez","sequence":"additional","affiliation":[{"name":"Thrombosis, Hemostasis and Atherogenesis Medical Research Unit, Hospital General Regional No. 1 \u201cCarlos MacGregor S\u00e1nchez Navarro,\u201d Instituto Mexicano del Seguro Social, M\u00e9xico City, M\u00e9xico;"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Mar\u00eda del Socorro","family":"Pina Canseco","sequence":"additional","affiliation":[{"name":"UNAM-UABJO Research Center, Faculty of Medicine and Surgery, Universidad Aut\u00f3noma \u201cBenito Ju\u00e1rez\u201d de Oaxaca, Oaxaca, M\u00e9xico;"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Eduardo","family":"P\u00e9rez-Campos Mayoral","sequence":"additional","affiliation":[{"name":"UNAM-UABJO Research Center, Faculty of Medicine and Surgery, Universidad Aut\u00f3noma \u201cBenito Ju\u00e1rez\u201d de Oaxaca, Oaxaca, M\u00e9xico;"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Margarito","family":"Mart\u00ednez Cruz","sequence":"additional","affiliation":[{"name":"Divisi\u00f3n de Estudios de Posgrado e Investigaci\u00f3n, Tecnol\u00f3gico Nacional de M\u00e9xico\/Instituto Tecnol\u00f3gico de Oaxaca, Oaxaca, M\u00e9xico;"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Carlos","family":"Lastre Dom\u00ednguez","sequence":"additional","affiliation":[{"name":"Divisi\u00f3n de Estudios de Posgrado e Investigaci\u00f3n, Tecnol\u00f3gico Nacional de M\u00e9xico\/Instituto Tecnol\u00f3gico de Oaxaca, Oaxaca, M\u00e9xico;"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Daniel","family":"L\u00f3pez Regalado","sequence":"additional","affiliation":[{"name":"Divisi\u00f3n de Investigaci\u00f3n y Desarrollo Cient\u00edfico, Benem\u00e9rita Universidad de Oaxaca, Oaxaca, M\u00e9xico;"},{"name":"Unidad de Salud P\u00fablica, Direccion de Prevenci\u00f3n y Promoci\u00f3n de la Salud, Servicios de Salud de Oaxaca, Oaxaca, M\u00e9xico;"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"H\u00e9ctor","family":"Mart\u00ednez Ruiz","sequence":"additional","affiliation":[{"name":"UNAM-UABJO Research Center, Faculty of Medicine and Surgery, Universidad Aut\u00f3noma \u201cBenito Ju\u00e1rez\u201d de Oaxaca, Oaxaca, M\u00e9xico;"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Miriam Emily","family":"Avenda\u00f1o Villegas","sequence":"additional","affiliation":[{"name":"Divisi\u00f3n de Estudios de Posgrado e Investigaci\u00f3n, Tecnol\u00f3gico Nacional de M\u00e9xico\/Instituto Tecnol\u00f3gico de Oaxaca, Oaxaca, M\u00e9xico;"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Pedro Ronel","family":"V\u00e1squez Diaz","sequence":"additional","affiliation":[{"name":"Divisi\u00f3n de Estudios de Posgrado e Investigaci\u00f3n, Tecnol\u00f3gico Nacional de M\u00e9xico\/Instituto Tecnol\u00f3gico de Oaxaca, Oaxaca, M\u00e9xico;"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Abraham","family":"Macjluf Cruz","sequence":"additional","affiliation":[{"name":"Thrombosis, Hemostasis and Atherogenesis Medical Research Unit, Hospital General Regional No. 1 \u201cCarlos MacGregor S\u00e1nchez Navarro,\u201d Instituto Mexicano del Seguro Social, M\u00e9xico City, M\u00e9xico;"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"V\u00edctor","family":"Cruz Hern\u00e1ndez","sequence":"additional","affiliation":[{"name":"Divisi\u00f3n de Medicina Interna, Hospital General \u201cDr. Aurelio Valdivieso,\u201d Instituto Mexicano del Seguro Social para el Bienestar, Oaxaca, 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