Research Article
Optimization of Tree-Based Machine Learning Models to Predict the Length of Hospital Stay Using Genetic Algorithm
Table 2
Potential variables affecting LOS.
| No. | Author | Ref. | Age | Sex | Insurance | Marital status | Medical advice number | Physician’s expertise level |
| 1 | Baek et al., 2018 | [13] | | | | | | | 2 | Meadows et al., 2018 | [14] | | | | | | | 3 | Alahmar et al., 2018 | [10] | | | | | | | 4 | Thompson et al., 2018 | [17] | | | | | | | 5 | Daghistani et al., 2019 | [4] | | | | | | | 6 | Danilov et al., 2019 | [12] | | | | | | | 7 | Ray-Zack et al., 2019 | [15] | | | | | | | 8 | Muhlestein et al., 2019 | [11] | | | | | | | 9 | Steele and Thompson, 2019 | [16] | | | | | | | 10 | Abd-Elrazek et al., 2019 | [18] | | | | | | | 11 | Mahboub et al., 2021 | [20] | | | | | | | 12 | Alsinglawi et al., 2022 | [21] | | | | | | |
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