Research Article

Leukemia can be Effectively Early Predicted in Routine Physical Examination with the Assistance of Machine Learning Models

Table 1

Statistical analysis of tested parameters in patients and healthy people.

ParameterMean ± SD in healthy peopleMean ± SD in patients of t-testUnitReference value

1WBC6.36 ± 1.6464.43 ± 104.561.75e − 65109/L3.5∼9.5
2RBC4.85 ± 0.512.83 ± 1.03∼01012/L4.3∼5.8
3HGB148.40 ± 16.0187.51 ± 29.43∼0g/L130.0∼175.0
4HCT44.19 ± 4.1826.70 ± 8.86∼0%40.0∼50.0
5MCV91.34 ± 5.7395.66 ± 9.222.98e − 43fl82.0∼100.0
6MCH30.66 ± 2.3131.33 ± 3.312.59e − 9pg27.0∼34.0
7MCHC335.50 ± 10.80327.56 ± 16.831.51e − 43g/L316.0∼354.0
8PLT215.94 ± 57.70151.95 ± 299.734.98e − 12109/L85.0∼303.0
9PDW14.80 ± 3.0313.56 ± 3.471.09e − 19fl10.0∼18.0
10MPV11.50 ± 1.2010.88 ± 1.313.40e − 31fl7.6∼13.2
11PCT0.25 ± 0.050.20 ± 0.368.64e − 4%0.1∼0.5
12NEUT%57.10 ± 8.2130.65 ± 25.045.09e − 157%40.0∼75.0
13LYM%33.24 ± 7.5923.24 ± 23.901.42e − 34%20.0∼50.0
14MONO%6.61 ± 1.745.85 ± 9.921.98e − 2%3.0∼10.0
15EO%2.52 ± 2.151.02 ± 2.317.65e − 61%0.4∼8.0
16BASO%0.53 ± 0.301.10 ± 2.818.36e − 10%0∼1.0
17NEUT#3.67 ± 1.2820.61 ± 43.182.12e − 30109/L1.8∼6.3
18LYM#2.07 ± 0.597.48 ± 25.863.78e − 10109/L1.1∼3.2
19MONO#0.42 ± 0.151.71 ± 4.421.06e − 17109/L0.1∼0.6
20EO#0.16 ± 0.150.84 ± 3.094.74e − 11109/L0.02∼0.52
21BASO#0.03 ± 0.021.25 ± 4.101.60e − 18109/L0∼0.06
22RDW-CV12.90 ± 1.0216.53 ± 2.894.41e − 224%12.0∼16.0
23P-LCR37.00 ± 9.4731.14 ± 10.371.40e − 44%10.0∼60.0
24TP75.47 ± 4.0368.62 ± 8.774.75e − 105g/L63∼82
25ALB48.39 ± 2.9538.97 ± 6.112.80e − 279g/L35.0∼50.0
26TBIL13.44 ± 5.1912.96 ± 10.031.44e − 01μmol/L3.0∼22.0
27ALT24.55 ± 17.4240.20 ± 64.343.14e − 14U/L21.0∼72.0
28AST23.35 ± 9.4540.53 ± 63.632.11e − 17U/L17.0∼59.0
29UA340.79 ± 88.96367.93 ± 162.091.87e − 7μmol/L208.0∼506.0
30Cre67.10 ± 15.8377.96 ± 54.919.33e − 9μmol/L58.0∼110.0