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Machine Learning Techniques For Public Health System: A Scientometric Review
2nd International Conference on Computer Science, Engineering and Applications, ICCSEA 2022 ; 2022.
Article in English | Scopus | ID: covidwho-2136219
ABSTRACT
Technology development plays a vital role in every aspect of life, whether it is in the medical domain or any other era. In the present scenario, scientists, researchers, and healthcare experts are still looking for a new technology against Air-Borne Disease(ABD) over the world. The use of Artificial Intelligence (AI) has encouraged researchers by providing a modern approach for combating Air-Borne diseases. The current study reviews approximately 145 papers for the literature review that insights AI-based application technology to prevent ABD. For this purpose, the current study discusses ideal epidemiology study, early disease diagnosis, and its progression concerning ABD. Although the reviewed AI application-based methods for ABD control are promising, this review suggests research that integrates ML advances should be done. ML techniques may lead to success in controlling the ABD if these suggestions are implemented. Finally, this study addresses the obstacles and opportunities for future research. © 2022 IEEE.
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Full text: Available Collection: Databases of international organizations Database: Scopus Language: English Journal: 2nd International Conference on Computer Science, Engineering and Applications, ICCSEA 2022 Year: 2022 Document Type: Article

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Full text: Available Collection: Databases of international organizations Database: Scopus Language: English Journal: 2nd International Conference on Computer Science, Engineering and Applications, ICCSEA 2022 Year: 2022 Document Type: Article