Association rule mining of real-world data: Uncovering links between race, glycemic control, lipid profiles, and suicide attempts in individuals with diabetes

AIMS: The increased risk of suicide among individuals with diabetes is a significant public health concern. However, few studies have focused on understanding the relationship between suicide attempts and diabetes. Association rule mining (ARM) is a data mining technique to discover a set of high-ri...

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Detalles Bibliográficos
Autores principales: Narindrarangkura, Ploypun, Alafaireet, Patricia E., Khan, Uzma, Kim, Min Soon
Formato: Online Artículo Texto
Lenguaje:English
Publicado: 2023
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10634724/
https://www.ncbi.nlm.nih.gov/pubmed/37946845
http://dx.doi.org/10.1016/j.imu.2023.101345

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10634724/
https://www.ncbi.nlm.nih.gov/pubmed/37946845
http://dx.doi.org/10.1016/j.imu.2023.101345

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