000 | 02066ngm a2200469 a 4500 | ||
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001 | HST4670 | ||
003 | UkLoHST | ||
006 | m c | ||
007 | cr|cna|||a|||| | ||
007 | vz|czazum | ||
008 | 180416s2018 enk|||||||||||s|||v|eng d | ||
028 | 5 | 0 |
_a4670 _bHenry Stewart Talks |
035 | _a(UkLoHST)3704 | ||
040 |
_aUkLoHST _beng _cUkLoHST |
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100 | 1 |
_aBedolla, John, _u(University of Texas Dell Medical School, USA) _4spk |
|
245 | 1 | 0 |
_aSubarachnoid hemorrhage _h[electronic resource] : _ba Bayesian approach to a neurological black swan / _cJohn Bedolla. |
260 |
_aLondon : _bHenry Stewart Talks, _c2018. |
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300 |
_a1 online resource (1 streaming video file (35 min.) : _bcolor, sound). |
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490 | 1 |
_aThe biomedical & life sciences collection, _x2056-452X |
|
500 | _aAnimated audio-visual presentation with synchronized narration. | ||
500 | _aTitle from title frames. | ||
505 | 0 | _aContents: Bayes theorem -- Spontaneous subarachnoid hemorrhage -- Bayesian approach -- Pretest probability SAH in headache -- Actionable clinical data to adjust pretest -- Bayesian pretest inferences -- Fagan nomogram CT before/after 6 hours -- Who still needs an LP? -- Ottawa subarachnoid hemorrhage rule. | |
506 | _aAccess restricted to subscribers. | ||
538 | _aMode of access: World Wide Web. | ||
650 | 0 | _aBayesian statistical decision theory. | |
650 | 0 |
_aBrain _xWounds and injuries _xDiagnosis. |
|
650 | 0 |
_aHeadache _xDiagnosis. |
|
650 | 0 | _aSubarachnoid hemorrhage. | |
650 | 2 | _aBayes Theorem. | |
650 | 2 |
_aBrain Injuries _xdiagnosis. |
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650 | 2 | _aDiagnosis, Differential. | |
650 | 2 |
_aHeadache Disorders _xetiology. |
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650 | 2 | _aNomograms. | |
650 | 2 | _aProbability. | |
650 | 2 | _aSeverity of Illness Index. | |
650 | 2 | _aSpinal Puncture. | |
650 | 2 |
_aSubarachnoid Hemorrhage _xdiagnosis. |
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650 | 2 |
_aSubarachnoid Hemorrhage _xdiagnostic imaging. |
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650 | 2 | _aTomography, X-Ray Computed. | |
830 | 0 |
_aHenry Stewart talks. _pBiomedical & life sciences collection. |
|
856 | 4 | 0 | _uhttps://hstalks.com/bs/3704/ |
999 |
_c76381 _d76381 |