Research Article
Optimization of Tree-Based Machine Learning Models to Predict the Length of Hospital Stay Using Genetic Algorithm
Table 4
Correlation between independent variables and LOS.
| No. | Variable | Correlation | | < 0.05 |
| 1 | Age | −0.06 | 0.4032 | | 2 | Medical advice number | 0.46 | 0.0001 | <0.05 | 3 | Sex_F | 0.02 | 0.7823 | | 4 | Marital status_married | −0.04 | 0.5808 | | 5 | Main insurance type_employee HI | 0.20 | 0.0066 | <0.05 | 6 | Main insurance type_occupational SSI | 0.08 | 0.2579 | | 7 | Main insurance type_ordinary SSI | 0.02 | 0.7514 | | 8 | Main insurance type_special SSI | −0.05 | 0.4677 | | 9 | Main insurance type_without insurance | −0.16 | 0.0291 | <0.05 | 10 | Physician expertise level_general practitioner | 0.02 | 0.7447 | | 11 | Physician expertise level_specialist | −0.07 | 0.3696 | | 12 | Physician expertise level_subspecialty physician | 0.17 | 0.0206 | <0.05 |
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