000			02264 a2200649 4500
005			20250518074631.0
264		0	_c20210823
008			202108s 0 0 eng d
022			_a1755-3245
024	7		_a10.1093/cvr/cvz321 _2doi
040			_aNLM _beng _cNLM
100	1		_aCommandeur, Frederic
245	0	0	_aMachine learning to predict the long-term risk of myocardial infarction and cardiac death based on clinical risk, coronary calcium, and epicardial adipose tissue: a prospective study. _h[electronic resource]
260			_bCardiovascular research _c12 2020
300			_a2216-2225 p. _bdigital
500			_aPublication Type: Journal Article; Randomized Controlled Trial; Research Support, N.I.H., Extramural; Research Support, Non-U.S. Gov't
650	0	4	_aAdipose Tissue _xdiagnostic imaging
650	0	4	_aAged
650	0	4	_aCause of Death
650	0	4	_aComputed Tomography Angiography
650	0	4	_aCoronary Angiography
650	0	4	_aCoronary Artery Disease _xcomplications
650	0	4	_aDecision Support Techniques
650	0	4	_aFemale
650	0	4	_aHumans
650	0	4	_aMachine Learning
650	0	4	_aMale
650	0	4	_aMiddle Aged
650	0	4	_aMultidetector Computed Tomography
650	0	4	_aMyocardial Infarction _xetiology
650	0	4	_aPericardium
650	0	4	_aPredictive Value of Tests
650	0	4	_aPrognosis
650	0	4	_aProspective Studies
650	0	4	_aRadiographic Image Interpretation, Computer-Assisted
650	0	4	_aRisk Assessment
650	0	4	_aRisk Factors
650	0	4	_aSex Factors
650	0	4	_aTime Factors
650	0	4	_aVascular Calcification _xcomplications
700	1		_aSlomka, Piotr J
700	1		_aGoeller, Markus
700	1		_aChen, Xi
700	1		_aCadet, Sebastien
700	1		_aRazipour, Aryabod
700	1		_aMcElhinney, Priscilla
700	1		_aGransar, Heidi
700	1		_aCantu, Stephanie
700	1		_aMiller, Robert J H
700	1		_aRozanski, Alan
700	1		_aAchenbach, Stephan
700	1		_aTamarappoo, Balaji K
700	1		_aBerman, Daniel S
700	1		_aDey, Damini
773	0		_tCardiovascular research _gvol. 116 _gno. 14 _gp. 2216-2225
856	4	0	_uhttps://doi.org/10.1093/cvr/cvz321 _zAvailable from publisher's website
999			_c30436695 _d30436695