Research Article
Tree-Based Risk Factor Identification and Stroke Level Prediction in Stroke Cohort Study
Table 2
Correlations and NMI values for the data.
| Factor | 2016 | 2017 | 2018 | | | | | | |
| Age () | 0.1710 | 0.0284 | 0.1894 | 0.0312 | 0.1650 | 0.0270 | Gender () | -0.0165 | 0.0034 | -0.0020 | 0.0028 | 0.0101 | 0.0020 | History of stroke () | 0.2021 | 0.1064 | 0.2163 | 0.1175 | 0.2258 | 0.1249 | History of TI () | -0.2973 | 0.2129 | -0.3191 | 0.2274 | -0.3080 | 0.2173 | Family history of stroke () | 0.3933 | 0.1722 | 0.3832 | 0.1583 | 0.3718 | 0.1390 | AF or VHD () | 0.2253 | 0.0814 | 0.2208 | 0.0863 | 0.2151 | 0.0711 | Hypertension () | 0.7232 | 0.4331 | 0.7623 | 0.4772 | 0.7926 | 0.5196 | Dyslipidemia () | 0.2538 | 0.0858 | 0.1974 | 0.0764 | 0.1409 | 0.0668 | Diabetes () | 0.5057 | 0.2921 | 0.4848 | 0.2834 | 0.4817 | 0.2605 | Smoking history () | 0.2469 | 0.0717 | 0.1870 | 0.0553 | 0.2310 | 0.0644 | AO or obesity () | 0.1630 | 0.0513 | 0.1321 | 0.0337 | 0.1569 | 0.0351 | Lack of exercise () | 0.3247 | 0.0291 | 0.2957 | 0.1558 | 0.3531 | 0.1551 |
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represents the Spearman correlation between and represents the Pearson correlation between |