A review on the use of machine learning techniques in monkeypox disease prediction

Rampogu, S. (2023). A review on the use of machine learning techniques in monkeypox disease prediction. Science in One Health, 2, 100040. https://doi.org/10.1016/j.soh.2023.100040

This review discusses the application of machine learning (ML) in the diagnosis and prediction of monkeypox (MP). Several ML models, including CNN, DL, NLP, Naïve Bayes, GRA-TLA, HMD, ARIMA, SEL, regression analysis, and Twitter data, were employed to analyze detection, classification, forecasting, and sentiment analysis. The findings highlight the potential of ML in advancing early diagnosis and disease management for MP. The review provides insights for researchers to further enhance ML applications and explore therapeutic options for MP.