000			01484 a2200409 4500
005			20250518083210.0
264		0	_c20201125
008			202011s 0 0 eng d
022			_a1879-1883
024	7		_a10.1016/j.amjsurg.2020.01.043 _2doi
040			_aNLM _beng _cNLM
100	1		_aHyer, J Madison
245	0	0	_aAssessment of utilization efficiency using machine learning techniques: A study of heterogeneity in preoperative healthcare utilization among super-utilizers. _h[electronic resource]
260			_bAmerican journal of surgery _c09 2020
300			_a714-720 p. _bdigital
500			_aPublication Type: Journal Article
650	0	4	_aAged
650	0	4	_aAged, 80 and over
650	0	4	_aArthroplasty, Replacement, Hip _xstatistics & numerical data
650	0	4	_aArthroplasty, Replacement, Knee _xstatistics & numerical data
650	0	4	_aCohort Studies
650	0	4	_aFemale
650	0	4	_aHumans
650	0	4	_aMachine Learning
650	0	4	_aMale
650	0	4	_aMedicare
650	0	4	_aPatient Acceptance of Health Care _xstatistics & numerical data
650	0	4	_aPreoperative Period
650	0	4	_aTreatment Outcome
650	0	4	_aUnited States
700	1		_aParedes, Anghela Z
700	1		_aWhite, Susan
700	1		_aEjaz, Aslam
700	1		_aPawlik, Timothy M
773	0		_tAmerican journal of surgery _gvol. 220 _gno. 3 _gp. 714-720
856	4	0	_uhttps://doi.org/10.1016/j.amjsurg.2020.01.043 _zAvailable from publisher's website
999			_c30586670 _d30586670