000 01308 a2200361 4500
005 20250518020035.0
264 0 _c20190926
008 201909s 0 0 eng d
022 _a2574-3805
024 7 _a10.1001/jamanetworkopen.2018.0926
_2doi
040 _aNLM
_beng
_cNLM
100 1 _aElfiky, Aymen A
245 0 0 _aDevelopment and Application of a Machine Learning Approach to Assess Short-term Mortality Risk Among Patients With Cancer Starting Chemotherapy.
_h[electronic resource]
260 _bJAMA network open
_c07 2018
300 _ae180926 p.
_bdigital
500 _aPublication Type: Journal Article; Research Support, N.I.H., Extramural; Research Support, Non-U.S. Gov't; Validation Study
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 _aMiddle Aged
650 0 4 _aNeoplasms
_xdrug therapy
650 0 4 _aPrognosis
650 0 4 _aRetrospective Studies
650 0 4 _aRisk Assessment
_xmethods
650 0 4 _aTime Factors
700 1 _aPany, Maximilian J
700 1 _aParikh, Ravi B
700 1 _aObermeyer, Ziad
773 0 _tJAMA network open
_gvol. 1
_gno. 3
_gp. e180926
856 4 0 _uhttps://doi.org/10.1001/jamanetworkopen.2018.0926
_zAvailable from publisher's website
999 _c29257008
_d29257008