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

Table 5 Patient diagnosis relevant data

Group + AA1:J26	n	WBC positive	PMN%	CRP	IL-6	ESR	D-dimmer	Bacterial culture results
negative	1	-	-	-	-	-	-	-
	2	-	-	-	+	-	-	-
	3	-	+	-	-	-	-	-
	4	-	-	-	-	-	-	-
	5	-	-	-	+	-	-	-
	6	-	-	-	-	-	-	-
	7	-	–	-	-	-	-	-
	8	-	–	-	-	-	-	-
	9	-	-	+	-	-	-	-
	10	-	-	-	-	+	-	-
positive	11	+	+	-	+	+	+	Staphylococcus aureus
	12	+	+ +	+	+ +	+	-	Staphylococcus epidermidis
	13	-	-	+	+ +	+	+	Staphylococcus epidermidis
	14	+	+	+	+ +	+	+	Staphylococcus epidermidis
	15	+	+	+ +	-	+	+ +	Streptococcus pharyngitis
	16	-	-	+	+ +	+	+	Klebsiella pneumoniae
	17	-	+	+ +	+ +	+	-	Gram-positive bacilli
	18	-	+	+	+ +	+	+	Staphylococcus aureus
	19	+	+	-	+	+	+	Propionibacterium bullosa
	20	+	+ +	+ +	+ +	+	+	Staphylococcus aureus
		4–10 -	< 0.5 –	< 2 -	0–5.9 -	0–20 -	0–0.55 -
		11–20 +	0.5–0.7 -	2–10 +	5.9–23.6 +	> 20 +	0.55–5.5 +
		> 20 + +	0.7–0.9 +	> 10 + +	> 23.6 + +
			> 0.9 + +

ISSN: 2524-7948