000 01254 a2200361 4500
005 20250517172148.0
008 ####s 0 0 eng d
022 _a1179-1470
024 7 _a10.2147/MDER.S138158
_2doi
040 _aNLM
_beng
_cNLM
100 1 _aRoss, Joseph S
245 0 0 _aCan machine learning complement traditional medical device surveillance? A case study of dual-chamber implantable cardioverter-defibrillators.
_h[electronic resource]
260 _bMedical devices (Auckland, N.Z.)
_c2017
300 _a165-188 p.
_bdigital
500 _aPublication Type: Journal Article
700 1 _aBates, Jonathan
700 1 _aParzynski, Craig S
700 1 _aAkar, Joseph G
700 1 _aCurtis, Jeptha P
700 1 _aDesai, Nihar R
700 1 _aFreeman, James V
700 1 _aGamble, Ginger M
700 1 _aKuntz, Richard
700 1 _aLi, Shu-Xia
700 1 _aMarinac-Dabic, Danica
700 1 _aMasoudi, Frederick A
700 1 _aNormand, Sharon-Lise T
700 1 _aRanasinghe, Isuru
700 1 _aShaw, Richard E
700 1 _aKrumholz, Harlan M
773 0 _tMedical devices (Auckland, N.Z.)
_gvol. 10
_gp. 165-188
856 4 0 _uhttps://doi.org/10.2147/MDER.S138158
_zAvailable from publisher's website
999 _c27517186
_d27517186