| 000 | 01169 a2200337 4500 | ||
|---|---|---|---|
| 005 | 20250517232119.0 | ||
| 264 | 0 | _c20190318 | |
| 008 | 201903s 0 0 eng d | ||
| 022 | _a1741-0444 | ||
| 024 | 7 |
_a10.1007/s11517-018-1877-1 _2doi |
|
| 040 |
_aNLM _beng _cNLM |
||
| 100 | 1 | _aVerma, Prabal | |
| 245 | 0 | 0 |
_aA comprehensive framework for student stress monitoring in fog-cloud IoT environment: m-health perspective. _h[electronic resource] |
| 260 |
_bMedical & biological engineering & computing _cJan 2019 |
||
| 300 |
_a231-244 p. _bdigital |
||
| 500 | _aPublication Type: Journal Article | ||
| 650 | 0 | 4 | _aAlgorithms |
| 650 | 0 | 4 | _aBayes Theorem |
| 650 | 0 | 4 | _aCloud Computing |
| 650 | 0 | 4 | _aDecision Making |
| 650 | 0 | 4 | _aHumans |
| 650 | 0 | 4 | _aInternet |
| 650 | 0 | 4 | _aModels, Theoretical |
| 650 | 0 | 4 |
_aStress, Psychological _xdiagnosis |
| 650 | 0 | 4 |
_aStudents _xpsychology |
| 650 | 0 | 4 | _aTelemedicine |
| 650 | 0 | 4 | _aTime Factors |
| 700 | 1 | _aSood, Sandeep K | |
| 773 | 0 |
_tMedical & biological engineering & computing _gvol. 57 _gno. 1 _gp. 231-244 |
|
| 856 | 4 | 0 |
_uhttps://doi.org/10.1007/s11517-018-1877-1 _zAvailable from publisher's website |
| 999 |
_c28706575 _d28706575 |
||