Applying Sequential Pattern Mining to Investigate the Temporal Relationships between Commonly Occurring Internal Medicine Diseases and Intervals for the Risk of Concurrent Disease in Canine Patients

SIMPLE SUMMARY: This study used a technique called sequential pattern mining to uncover connections between common internal medicine diseases in dogs. The goal was to understand how these diseases relate to each other over time. Researchers collected medical records from dogs treated at the Konkuk U...

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Detalles Bibliográficos
Autores principales: Lee, Suk-Jun, Kim, Jung-Hyun
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2023
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10647901/
https://www.ncbi.nlm.nih.gov/pubmed/37958114
http://dx.doi.org/10.3390/ani13213359

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10647901/
https://www.ncbi.nlm.nih.gov/pubmed/37958114
http://dx.doi.org/10.3390/ani13213359

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