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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