Research Article
Machine Learning Approaches to Predict Patient’s Length of Stay in Emergency Department
Table 5
Correlation coefficients of the attributes.
| Attribute | Correlation coefficient | Correlation |
| Day | 0.03902 | Low | Month | 0.04942 | Low | Year | 0.01453 | Low | Day | 0.06091 | Low | Gender | 0.02381 | Low | Insurance | 0.03442 | Low | Mode of arrival | 0.01844 | Low | Immediate treatment | 0.06235 | Low | Triage level | 0.06123 | Low | Medication | 0.17187 | High | Consultation | 0.08824 | Low | CBC | 0.37436 | High | KFT | 0.30211 | High | LFT | 0.29638 | High | Cardiac enzymes | 0.1144 | Low | RBS | 0.07796 | Low | CRB | 0.24626 | High | Amylase | 0.15416 | High | Lipase | 0.19014 | High | Urine analysis | 0.1898 | High | Stool analysis | 0.01062 | Low | ABGS | 0.06144 | Low | PT, INR | 0.18187 | High | PTT | 0.10291 | Low | Urine culture | 0.10954 | Low | Urea | 0.15511 | High | Creatinine | 0.15416 | High | Troponin 1 | 0.04406 | Low | Xray | 0.13779 | High | Ultrasound | 0.13197 | High | CT scan | 0.04266 | Low | MRI | 0.11438 | Low | Other tests | 0.18535 | High | BMP | 0.34567 | High | Age | 0.08461 | Low | Number of nurses | 0.00505 | Low | Crowding | 0.0713 | Low | Lockdown | 0.0645 | Low |
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