Development of Pneumonia Disease Detection Model Based on Deep Learning Algorithm

Table 5

A comparison between the proposed model and other models.

Ref.	Learning models	Precision	Recall	F1-score	Accuracy
[9]	Xception	86%	85%	87%	82%
	VGG16	91%	82%	90%	87%
[10]	Weighted classifier based pretrained models	—	—	98.63%	98.43%
[11]	Inception V3	86%	84%	78%	70.99%
	ResNet 50	92%	97%	84%	77.56%
	VGG16	93%	96%	90%	87.18%
	VGG19	94%	95%	91%	88.46%
[12]	CNN	—	—	98.95%	98.46%
[13]	CNN-random forest	90%	95%	97%	93.8%
[14]	Ensemble model	93.28%	99.62%	94.8%	96.39%
[15]	VGG-based CNN model	94.41%	—	—	96.07%
[16]	ResNet 50	88.97%	96.78%	92.71%	93.06%
—	ResNet 50	95%	95%	95%	95.37
—	VGG16	73%	73%	71%	73.40%
—	Proposed CNN model	98%	98%	97%	99.82%