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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...
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 |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Dove
2022
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Materias: | |
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 |
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