Table 6.

The statistical distribution of the SISA and SISAL datasets

SISA dataset (n = 534)
Par./Fea	1	2	3	4	5	6	7	8	9	10	11	12	13	14
std	17.03	0.50	23.12	22.42	5.67	17.63	0.83	0.24	0.45	0.51	0.44	0.47	0.27	0.44
p-value	0.781	0.244	0.106	0.550	0.481	0.070	0.013	0.361	1e3	0.001	0.001	0.087	0.001	0.001

Par./Fea	15	16	17	18	19	20	21	22	23	24	25	26	27	28
std	0.46	0.43	0.47	0.52	0.41	0.51	0.83	0.41	0.28	0.22	0.18	0.27	0.39	0.47
p-value	0.001	0.001	0.001	0.017	0.225	0.001	0.821	0.590	0.57	0.331	0.243	0.328	0.458	0.915

SISAL dataset (n = 98)
Par./Fea	std	p-value	Par./Fea	std	p-value	Par./Fea	Std	p-value	Par./Fea	std	p-value	Par./Fea	std	p-value
1	13.86	0.655	9	0.50	0.001	17	0.37	0.044	25	17.36	0.278	33	0.47	0.579
2	0.50	0.266	10	0.47	0.001	18	0.48	0.257	26	96,064	0.001
3	15.85	0.766	11	0.50	0.001	19	0.44	0.002	27	0.44	0.604
4	19.29	0.988	12	0.38	0.682	20	0.50	0.001	28	0.26	0.337
5	5.08	0.665	13	0.38	0.010	21	0.86	0.033	29	0.14	0.778
6	18.53	0.173	14	0.30	0.007	22	4.57	0.029	30	0.20	0.227
7	0.96	0.018	15	0.50	0.035	23	4536	0.178	31	0.10	0.428
8	0.17	0.827	16	0.50	0.001	24	21	0.349	32	0.38	0.212

Where Par. defines the statistical parameters, Fea. shows the features of the dataset; std stands for standard deviation. If p-values are 0,001, this means p < 0,001. Mann–Whitney U test was used for statistical comparison of hospital patient and outpatient according to the features (Significant at p-value < 0.05 and No Significant at p-value > 0.05). (The details of the SISA and SISAL datasets’ features can found in https://www.openicpsr.org/openicpsr/project/115165/version/V2/view and in [1] reference)