From: Deep self-supervised machine learning algorithms with a novel feature elimination and selection approaches for blood test-based multi-dimensional health risks classification
Intervals
\(i^{p}\)
\(i^{ps}\)
\(i^{n}\)
\(i^{ns}\)
± 100%
1
1.303
300
± 90%
81
16.380
± 80%
11
4.877
± 70%
19
2.048
± 60%
34
604
30
± 50%
60
213
± 40%
75
101
± 30%
5
35
± 20%
0
± 10%