Development of a predictive machine learning model for pathogen profiles in patients with secondary immunodeficiency

Table 1 Demographic characteristics and infection-associated lab test results of studied patients

		Age	CRP	PCT	Leukocytes	Neutrocytes	Lymphocytes
Hematology Department	Male 54.16%	40.31	105.03	17.90	9.23	8.31	11.06
Hematology Department	Female 45.84%	44.36	105.22	16.65	4.62	7.92	12.08
Rheumatology Department	Male 36.28%	53.41	NA	NA	9.73	6.44	2.20
Rheumatology Department	Female 63.72%	47.94	NA	NA	9.69	7.16	1.60
Oncology Department	Male 65.71%	59.69	105.63*	17.67*	10.07	8.05	1.26
Oncology Department	Female 34.29%	54.61	195.34*	12.17*	9.17	6.96	1.39
ICU	Male 63.89%	61.09	NA	NA	12.87	6.75	2.01
ICU	Female 36.11%	55.79	NA	NA	9.95	7.26	1.33
Nephrology Department	Male 63.55%	52.92	NA	NA	12.35	9.29	1.38
Nephrology Department	Female 36.45%	59.86	NA	NA	10.9	8.18	1.99
Burn Department	Male 69.69%	36.97	124.06*	18.05*	13.58	9.77	1.89
Burn Department	Female 30.31%	32.4	115.43*	8.87*	13.16	9.77	2.11

^*The number of non-NA values is relatively too few to make a reliable estimation

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