| 000 | 01469 a2200457 4500 | ||
|---|---|---|---|
| 005 | 20250518093702.0 | ||
| 264 | 0 | _c20200416 | |
| 008 | 202004s 0 0 eng d | ||
| 022 | _a2369-2960 | ||
| 024 | 7 |
_a10.2196/18828 _2doi |
|
| 040 |
_aNLM _beng _cNLM |
||
| 100 | 1 | _aAyyoubzadeh, Seyed Mohammad | |
| 245 | 0 | 0 |
_aPredicting COVID-19 Incidence Through Analysis of Google Trends Data in Iran: Data Mining and Deep Learning Pilot Study. _h[electronic resource] |
| 260 |
_bJMIR public health and surveillance _c04 2020 |
||
| 300 |
_ae18828 p. _bdigital |
||
| 500 | _aPublication Type: Journal Article | ||
| 650 | 0 | 4 | _aBetacoronavirus |
| 650 | 0 | 4 | _aCOVID-19 |
| 650 | 0 | 4 | _aCoronavirus |
| 650 | 0 | 4 |
_aCoronavirus Infections _xepidemiology |
| 650 | 0 | 4 | _aData Mining |
| 650 | 0 | 4 | _aDeep Learning |
| 650 | 0 | 4 | _aDisease Outbreaks |
| 650 | 0 | 4 | _aFemale |
| 650 | 0 | 4 | _aHumans |
| 650 | 0 | 4 | _aIncidence |
| 650 | 0 | 4 |
_aIran _xepidemiology |
| 650 | 0 | 4 | _aMale |
| 650 | 0 | 4 | _aPandemics |
| 650 | 0 | 4 | _aPilot Projects |
| 650 | 0 | 4 |
_aPneumonia, Viral _xepidemiology |
| 650 | 0 | 4 | _aRisk Factors |
| 650 | 0 | 4 | _aSARS-CoV-2 |
| 650 | 0 | 4 |
_aSearch Engine _xtrends |
| 700 | 1 | _aAyyoubzadeh, Seyed Mehdi | |
| 700 | 1 | _aZahedi, Hoda | |
| 700 | 1 | _aAhmadi, Mahnaz | |
| 700 | 1 | _aR Niakan Kalhori, Sharareh | |
| 773 | 0 |
_tJMIR public health and surveillance _gvol. 6 _gno. 2 _gp. e18828 |
|
| 856 | 4 | 0 |
_uhttps://doi.org/10.2196/18828 _zAvailable from publisher's website |
| 999 |
_c30802434 _d30802434 |
||