Figure 1
Decision tree algorithm Structure.
Table 1
Demographic information of the study sample (n = 150).
| Variables | Mean | SD* | |
|---|---|---|---|
| The first group (n = 50) (SPL <70 dBA) | Age | 37.66 | 9.91 |
| Work Experience | 9.1 | 4.9 | |
| The second group (n = 50) (SPL 70–80 dBA) | Age | 35.56 | 11.45 |
| Work Experience | 8.48 | 5.38 | |
| The Third group (n = 50) (SPL >85 dBA) | Age | 41.76 | 10.93 |
| Work Experience | 11.34 | 5.32 |
[i] * SD = Standard deviation.
Table 2
Classification the Participants Hearing Loss (n = 150).
| Normal (0–25 dB) | Moderate (41–60 dBA) | Mild (26–40 dBA) | Severe (61–80 dBA) | Profound (80 dBA <) | |
|---|---|---|---|---|---|
| The first group (n = 50) (SPL <70 dBA) | 40 participants (80%) | 10 participants (20%) | – | – | – |
| The second group (n = 50) (SPL 70–80 dBA) | 37 participants (74%) | 10 participants (20%) | 3 participants (6%) | – | – |
| The third group (n = 50) (SPL >85 dBA) | 29 participants (58%) | 15 participants (30%) | 4 participants (8%) | 2 participants (4%) | – |
Figure 2
The first model, weight percent of hearing loss predictors in the first group (SP <70 dBA).
Figure 3
The second model, the weight percent of predictive hearing loss factors of the workers in the second group (SPL 70–80 dBA).
Figure 4
The third model, the weight percentage of the predictive hearing loss factors of workers in the third group (SPL >85 dBA).
Figure 5
The fourth model, the weight percentage of the prediction factors of workers’ hearing loss in all three groups.