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Data Mining in Healthcare and Prediction Model Using Data Mining Technique on COVID-19
EAI/Springer Innovations in Communication and Computing ; : 1-25, 2022.
Article in English | Scopus | ID: covidwho-1575340
ABSTRACT
The number of COVID-19 cases has reached millions globally, and those taking on the conflict against the pandemic have been roused to actualize inventive strategies to help foresee the spread of the outbreak. It has been seen from the past few months that various concerns are engaged with the COVID-19 retaliation over a globe embracing data mining tools and techniques to help with breaking down the spread of the virus. Such forward-thinking methods have been developed in pervasiveness, as different concerns have made their product and information accessible for free. The main purpose of data mining, whether its actuality charity in healthcare or business, is to recognize beneficial and reasonable arrangements by examining big circles of statistics. In this chapter, we provide a prediction, conferring the probable impact of data mining to combat against COVID-19 and the current restraints on these aids. © 2022, Springer Nature Switzerland AG.
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Full text: Available Collection: Databases of international organizations Database: Scopus Type of study: Prognostic study / Reviews Language: English Journal: Springer Innovations in Communication and Computing Year: 2022 Document Type: Article

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Full text: Available Collection: Databases of international organizations Database: Scopus Type of study: Prognostic study / Reviews Language: English Journal: Springer Innovations in Communication and Computing Year: 2022 Document Type: Article