Medical Opinions Analysis about the Decrease of Autopsies Using Emerging Pattern Mining

Isaac Machorro-Cano, Ingrid Aylin Ríos-Méndez, José Antonio Palet-Guzmán, Nidia Rodríguez-Mazahua, Lisbeth Rodríguez-Mazahua (), Giner Alor-Hernández and José Oscar Olmedo-Aguirre
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Isaac Machorro-Cano: Tuxtepec Campus, Universidad del Papaloapan, Calle Circuito Central #200, Col. Parque Industrial, San Juan Bautista Tuxtepec C.P. 68301, Oaxaca, Mexico
Ingrid Aylin Ríos-Méndez: Tecnológico Nacional de México/I. T. Orizaba, Av. Oriente 9 852, Col. Emiliano Zapata, Orizaba C.P. 94320, Veracruz, Mexico
José Antonio Palet-Guzmán: Laboratorios de Anatomía Patológica y Asistencial en Córdoba S.A. de C.V., Av. 9, No. 803, Col. San José, Córdoba C.P. 94560, Veracruz, Mexico
Nidia Rodríguez-Mazahua: Tecnológico Nacional de México/I. T. Orizaba, Av. Oriente 9 852, Col. Emiliano Zapata, Orizaba C.P. 94320, Veracruz, Mexico
Lisbeth Rodríguez-Mazahua: Tecnológico Nacional de México/I. T. Orizaba, Av. Oriente 9 852, Col. Emiliano Zapata, Orizaba C.P. 94320, Veracruz, Mexico
Giner Alor-Hernández: Tecnológico Nacional de México/I. T. Orizaba, Av. Oriente 9 852, Col. Emiliano Zapata, Orizaba C.P. 94320, Veracruz, Mexico
José Oscar Olmedo-Aguirre: Escuela Superior de Física y Matemáticas del IPN, Av. Instituto Politécnico Nacional s/n Edificio 9 Unidad Profesional “Adolfo López Mateos”, Col. San Pedro Zacatenco, Ciudad de México C.P. 07738, Mexico

Data, 2023, vol. 9, issue 1, 1-14

Abstract: An autopsy is a widely recognized procedure to guarantee ongoing enhancements in medicine. It finds extensive application in legal, scientific, medical, and research domains. However, declining autopsy rates in hospitals constitute a worldwide concern. For example, the Regional Hospital of Rio Blanco in Veracruz, Mexico, has substantially reduced the number of autopsies at hospitals in recent years. Since there are no documented historical records of a decrease in the frequency of autopsy cases, it is crucial to establish a methodological framework to substantiate any actual trends in the data. Emerging pattern mining (EPM) allows for finding differences between classes or data sets because it builds a descriptive data model concerning some given remarkable property. Data set description has become a significant application area in various contexts in recent years. In this research study, various EPM (emerging pattern mining) algorithms were used to extract emergent patterns from a data set collected based on medical experts’ perspectives on reducing hospital autopsies. Notably, the top-performing EPM algorithms were iEPMiner, LCMine, SJEP-C, Top-k minimal SJEPs, and Tree-based JEP-C. Among these, iEPMiner and LCMine demonstrated faster performance and produced superior emergent patterns when considering metrics such as Confidence, Weighted Relative Accuracy Criteria (WRACC), False Positive Rate (FPR), and True Positive Rate (TPR).

Keywords: data mining; decrease in autopsies; emerging pattern mining; medical opinions; pattern recognition (search for similar items in EconPapers)
JEL-codes: C8 C80 C81 C82 C83 (search for similar items in EconPapers)
Date: 2023
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