A review on the use of machine learning techniques in monkeypox disease prediction
Infectious diseases have posed a global threat recently, progressing from endemic to pandemic. Early detection and finding a better cure are methods for curbing the disease and its transmission. Machine learning (ML) has demonstrated to be an ideal approach for early disease diagnosis. This review h...
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| Format: | Article |
| Language: | English |
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Elsevier
2023-01-01
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| Series: | Science in One Health |
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| Online Access: | http://www.sciencedirect.com/science/article/pii/S2949704323000343 |
| _version_ | 1827304184280514560 |
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| author | Shailima Rampogu |
| author_facet | Shailima Rampogu |
| author_sort | Shailima Rampogu |
| collection | DOAJ |
| description | Infectious diseases have posed a global threat recently, progressing from endemic to pandemic. Early detection and finding a better cure are methods for curbing the disease and its transmission. Machine learning (ML) has demonstrated to be an ideal approach for early disease diagnosis. This review highlights the use of ML algorithms for monkeypox (MP). Various models, such as CNN, DL, NLP, Naïve Bayes, GRA-TLA, HMD, ARIMA, SEL, Regression analysis, and Twitter posts were built to extract useful information from the dataset. These findings show that detection, classification, forecasting, and sentiment analysis are primarily analyzed. Furthermore, this review will assist researchers in understanding the latest implementations of ML in MP and further progress in the field to discover potent therapeutics. |
| first_indexed | 2024-04-24T17:26:37Z |
| format | Article |
| id | doaj.art-1c82bde58a70436ca7db101d20e139c8 |
| institution | Directory Open Access Journal |
| issn | 2949-7043 |
| language | English |
| last_indexed | 2024-04-24T17:26:37Z |
| publishDate | 2023-01-01 |
| publisher | Elsevier |
| record_format | Article |
| series | Science in One Health |
| spelling | doaj.art-1c82bde58a70436ca7db101d20e139c82024-03-28T06:39:58ZengElsevierScience in One Health2949-70432023-01-012100040A review on the use of machine learning techniques in monkeypox disease predictionShailima Rampogu0Cachet Big Data Lab, Hyderabad, 500045, Telangana, IndiaInfectious diseases have posed a global threat recently, progressing from endemic to pandemic. Early detection and finding a better cure are methods for curbing the disease and its transmission. Machine learning (ML) has demonstrated to be an ideal approach for early disease diagnosis. This review highlights the use of ML algorithms for monkeypox (MP). Various models, such as CNN, DL, NLP, Naïve Bayes, GRA-TLA, HMD, ARIMA, SEL, Regression analysis, and Twitter posts were built to extract useful information from the dataset. These findings show that detection, classification, forecasting, and sentiment analysis are primarily analyzed. Furthermore, this review will assist researchers in understanding the latest implementations of ML in MP and further progress in the field to discover potent therapeutics.http://www.sciencedirect.com/science/article/pii/S2949704323000343Machine learningMonkeypoxSupervised learningUnsupervised learningSentiment analysis |
| spellingShingle | Shailima Rampogu A review on the use of machine learning techniques in monkeypox disease prediction Science in One Health Machine learning Monkeypox Supervised learning Unsupervised learning Sentiment analysis |
| title | A review on the use of machine learning techniques in monkeypox disease prediction |
| title_full | A review on the use of machine learning techniques in monkeypox disease prediction |
| title_fullStr | A review on the use of machine learning techniques in monkeypox disease prediction |
| title_full_unstemmed | A review on the use of machine learning techniques in monkeypox disease prediction |
| title_short | A review on the use of machine learning techniques in monkeypox disease prediction |
| title_sort | review on the use of machine learning techniques in monkeypox disease prediction |
| topic | Machine learning Monkeypox Supervised learning Unsupervised learning Sentiment analysis |
| url | http://www.sciencedirect.com/science/article/pii/S2949704323000343 |
| work_keys_str_mv | AT shailimarampogu areviewontheuseofmachinelearningtechniquesinmonkeypoxdiseaseprediction AT shailimarampogu reviewontheuseofmachinelearningtechniquesinmonkeypoxdiseaseprediction |