A preliminary study on the application of deep learning methods based on convolutional network to the pathological diagnosis of PJI

Table 4 Basic data of the patients

Group	n	Sex	Age	Height (m)	Weight (Kg)	BMI	Operation
negative	1	female	28	1.50	42	18.67	right hip arthroplasty
	2	female	79	1.60	61.5	24.02	right hip arthroplasty
	3	female	67	1.60	78	30.47	right hip arthroplasty
	4	female	64	1.60	71	27.73	left knee arthroplasty
	5	female	64	1.60	71	27.73	left knee arthroplasty
	6	female	76	1.60	60	23.44	left knee arthroplasty
	7	male	43	1.70	75	25.95	left hip arthroplasty
	8	male	36	1.70	70	24.22	right hip arthroplasty
	9	male	70	1.60	65	25.39	left knee arthroplasty
	10	male	54	1.74	92	30.39	left knee arthroplasty
positive	11	male	80	1.70	70	24.22	left knee arthroplasty
	12	male	30	1.75	95	31.02	left hip arthroplasty
	13	male	60	1.69	65	22.76	left knee arthroplasty
	14	male	85	1.65	73	26.81	left knee arthroplasty
	15	male	53	1.78	80	25.25	right hip arthroplasty
	16	male	23	1.70	95	32.87	right hip arthroplasty
	17	male	59	1.76	80	25.83	left hip arthroplasty
	18	female	67	1.60	78	30.47	right hip arthroplasty
	19	female	67	1.63	72	27.10	right knee arthroplasty
	20	female	68	1.50	54	24.00	left hip arthroplasty