| 000 | 01696 a2200469 4500 | ||
|---|---|---|---|
| 005 | 20250518063658.0 | ||
| 264 | 0 | _c20201020 | |
| 008 | 202010s 0 0 eng d | ||
| 022 | _a2044-6055 | ||
| 024 | 7 |
_a10.1136/bmjopen-2019-032187 _2doi |
|
| 040 |
_aNLM _beng _cNLM |
||
| 100 | 1 | _aArnold, Jonathan | |
| 245 | 0 | 0 |
_aComparing the predictive ability of a commercial artificial intelligence early warning system with physician judgement for clinical deterioration in hospitalised general internal medicine patients: a prospective observational study. _h[electronic resource] |
| 260 |
_bBMJ open _c10 2019 |
||
| 300 |
_ae032187 p. _bdigital |
||
| 500 | _aPublication Type: Comparative Study; Journal Article; Observational Study; Research Support, N.I.H., Extramural; Research Support, Non-U.S. Gov't; Research Support, U.S. Gov't, P.H.S. | ||
| 650 | 0 | 4 | _aAdult |
| 650 | 0 | 4 | _aAged |
| 650 | 0 | 4 | _aAlgorithms |
| 650 | 0 | 4 | _aArtificial Intelligence |
| 650 | 0 | 4 | _aClinical Competence |
| 650 | 0 | 4 | _aClinical Deterioration |
| 650 | 0 | 4 | _aEarly Warning Score |
| 650 | 0 | 4 | _aFemale |
| 650 | 0 | 4 | _aHospitalization |
| 650 | 0 | 4 | _aHumans |
| 650 | 0 | 4 | _aInternal Medicine |
| 650 | 0 | 4 | _aJudgment |
| 650 | 0 | 4 | _aMale |
| 650 | 0 | 4 | _aMiddle Aged |
| 650 | 0 | 4 |
_aPhysicians _xpsychology |
| 650 | 0 | 4 | _aProspective Studies |
| 700 | 1 | _aDavis, Alex | |
| 700 | 1 | _aFischhoff, Baruch | |
| 700 | 1 | _aYecies, Emmanuelle | |
| 700 | 1 | _aGrace, Jon | |
| 700 | 1 | _aKlobuka, Andrew | |
| 700 | 1 | _aMohan, Deepika | |
| 700 | 1 | _aHanmer, Janel | |
| 773 | 0 |
_tBMJ open _gvol. 9 _gno. 10 _gp. e032187 |
|
| 856 | 4 | 0 |
_uhttps://doi.org/10.1136/bmjopen-2019-032187 _zAvailable from publisher's website |
| 999 |
_c30190980 _d30190980 |
||