Research Article
Validity of Machine Learning in Detecting Complicated Appendicitis in a Resource-Limited Setting: Findings from Vietnam
Table 1
Data structure used in data analysis.
| Variable | Type | Unit | Description |
| Age | Numeric | Year | Range: 11 - 91 | Gender | Binary | | 1=male; 0=female | White blood cell count (WBC) | Numeric | 103 cell/mm3 | Range: 1.80 - 29.21 | Neutrophil | Numeric | 103 cell/mm3 | Range: 1.58 - 27.47 | Lymphocyte | Numeric | 103 cell/mm3 | Range: 0.18 - 8.10 | Neutrophil lymphocyte ratio (NLR) | Numeric | | Range: 0.40 - 65.04 | C-reactive protein (CRP) | Numeric | mg/L | Range: 0.2 - 420.3 | Diameter of appendix on ultrasound | Numeric | mm | Range: 1 - 80 | Appendix position on ultrasound | Binary | | 1=right lower abdominal quadrant; 0=other positions | Infiltration on ultrasound | Binary | | 1=yes; 0=no | Abdominal fluid on ultrasound | Binary | | 1=yes; 0=no | Complicated appendicitis | Binary | | 1=yes; 0=no |
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