Tree-Based Algorithms and Association Rule Mining for Predicting Patients’ Neurological Outcomes After First-Aid Treatment for an Out-of-Hospital Cardiac Arrest During COVID-19 Pandemic: Application of Data Mining

OBJECTIVE: The authors performed several tree-based algorithms and an association rules mining as data mining tools to find useful determinants for neurological outcomes in out-of-hospital cardiac arrest (OHCA) patients as well as to assess the effect of the first-aid and basic characteristics in th...

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Detalles Bibliográficos
Autores principales: Lin, Wei-Chun, Huang, Chien-Hsiung, Chien, Liang-Tien, Tseng, Hsiao-Jung, Ng, Chip-Jin, Hsu, Kuang-Hung, Lin, Chi-Chun, Chien, Cheng-Yu
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Dove 2022
Materias:
Original Research
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9507444/
https://www.ncbi.nlm.nih.gov/pubmed/36157293
http://dx.doi.org/10.2147/IJGM.S384959

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9507444/
https://www.ncbi.nlm.nih.gov/pubmed/36157293
http://dx.doi.org/10.2147/IJGM.S384959

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