Machine learning prediction for COVID-19 disease severity at hospital admission

Table 2 Variable correlations and feature rankings

	Sorted features (w/RF)	Correlation Coefficient		Average variables significance
	Sorted features (w/RF)	30DMort	Mec. Vent	Average variables significance
1	Highest O² Flow Rate within 4 h	0.186	0.304	3.316
2	Initial SpO²	− 0.173	− 0.328	3.085
3	Lowest Pulse Oximetry within 4 h	− 0.168	− 0.318	3.082
4	Lowes O² Flow Rate within 4 h	0.175	0.203	2.692
5	Ferritin	0.144	0.145	2.604
6	CRP	0.125	0.214	2.466
7	Initial O² Flow Rate	0.141	0.246	2.432
8	BUN	0.169	0.105	2.414
9	Highest Respiratory rate within 4 h	0.127	0.231	2.347
10	AST	0.093	0.096	2.345
11	Albumin	− 0.167	− 0.179	2.281
12	Platelet Count	− 0.137	− 0.075	2.202
13	Absolute Neutrophil count	0.085	0.131	2.180
14	Initial Respiratory Rate	0.132	0.212	2.159
15	Troponin I HS	0.086	0.086	1.964
16	WBC	0.049	0.064	1.919
17	Age	0.140	0.004	1.737
18	D-DIMER	0.132	0.135	1.720
19	Immature Platelet Fraction	0.020	0.055	1.633
20	Mean Corpuscular Volume	0.109	0.053	1.591
21	Creatinine	0.042	− 0.011	1.502
22	BMI	N/A*	N/A*	1.358
23	Lowest Respiratory rate within 4 h	0.023	0.109	1.247
24	COVID-19 Vaccination Administration	0.152	0.126	1.243
25	ALT	0.032	0.062	1.238

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