Dengue prediction using time series forcasting I.E Arima model
Bibliographic Data
| ID | 15794879 |
|---|---|
| Authors | Dinesh Chandra (0000-0001-5763-1645, Indian Institute of Technology Bhilai, corresponding author), Shaziya Islam (0000-0003-0368-2097, Indian Institute of Technology Bhilai, corresponding author), Deepak Pandey (0009-0007-2683-4491, Indian Institute of Technology Bhilai, corresponding author) |
| Year | 2022 |
| Pages | 4517-4526 |
| Publication date | 2022-10-04 |
| Open Access | Yes |
| Type | ARTICLE |
| Venue | International Journal of Health Sciences (JOURNAL) |
| Journal identifiers | ISSN: 2550-696X • E-ISSN: 2550-6978 |
| Publisher | Universidad Tecnica de Manabi (PUBLISHER • EC) |
| DOI | 10.53730/ijhs.v6ns8.13221 |
| OpenAlex | W4301187735 |
| Language | EN |
| References cited | 1 |
Dengue fever is a mosquito-borne tropical disease caused by the dengue virus. It is a life threatening disease lots of person died due to dengue because its symptoms are not detected at early stages many parson thought that it was a normal fever or headache so that they just ignore it which cause there are in danger situations and in worst case they loss their life
Autoregressive integrated moving average · Dengue fever · Dengue hemorrhagic fever · Dengue virus · Disease · Intensive care medicine · Machine learning · Time series · Computer Science · Data Mining and Machine Learning Applications · Medicine · Multimedia Learning Systems · Internal Medicine · Virology
| Highly cited | No |
|---|