Table 4.

Monkeypox diagnostic methodologies.

Reference	Technique	Description
Haque et al. [70]	Five deep learning models such as VGG19, Xception, DenseNet121, etc.	Image-based dataset with an accuracy of 83% using Xception-CBAM (Convolutional Block Attention Module)
Sahin et al. [25]	Transfer learning methods such as MobileNetv2, GoogleNet, etc.	Image-based dataset with an accuracy of 91% using MobileNetv2
Irmak et al. [71]	VGGNet, and MobileNetV2	Image-based dataset with an accuracy of 91% using MobileNetV2
Alcalá-Rmz et al. [72]	MiniGoggleNet	Image-based dataset with an accuracy of 97%
Jaradat et al. [11]	Five pre-trained models: VGG16, ResNet50, MobileNetV2, etc.	Image-based dataset with an accuracy of 98% using MobileNetV2
Proposed Method	XGBoost	Symptom-based dataset with an accuracy of 100% using XGBoost