# Towards applying internet of things and machine learning for the risk prediction of COVID-19 in pandemic situation using Naive Bayes classifier for improving accuracy

**Type:** Papers  
**Canonical URL:** https://scholariq.org/papers/towards-applying-internet-of-things-and-machine-learning-for-the-risk-prediction/

## Facts

| Field | Value |
| --- | --- |
| Author Names | N. Deepa,J. Sathya Priya,T Devi. |
| Citations | 38 |
| DOI | 10.1016/j.matpr.2022.03.345 |
| Fields | Computer Science,Medicine |
| Open Access | true |
| OA Status | green |
| OA URL | https://www.ncbi.nlm.nih.gov/pmc/articles/8942654 |
| OpenAlex ID | https://openalex.org/W4220976691 |
| PMID | 35345579 |
| Type | article |
| Year | 2022 |

## Paper authors

- [T Devi.](https://scholariq.org/researchers/t-devi/)

## Paper primary topic

- [COVID-19 diagnosis using AI](https://scholariq.org/topics/covid-19-diagnosis-using-ai/)

## Paper topics

- [COVID-19 diagnosis using AI](https://scholariq.org/topics/covid-19-diagnosis-using-ai/)
- [Anomaly Detection Techniques and Applications](https://scholariq.org/topics/anomaly-detection-techniques-and-applications/)
- [Smart Systems and Machine Learning](https://scholariq.org/topics/smart-systems-and-machine-learning/)

---
Source: ScholarIQ — public research metadata, principally OpenAlex. See https://scholariq.org/sources/ for provenance and https://scholariq.org/methodology/ for what these figures mean.