000 01502 a2200421 4500
005 20250518021600.0
264 0 _c20190612
008 201906s 0 0 eng d
022 _a1660-4601
024 7 _a10.3390/ijerph16030381
_2doi
040 _aNLM
_beng
_cNLM
100 1 _aAlcalá-Rmz, Vanessa
245 0 0 _aIdentification of Diabetic Patients through Clinical and Para-Clinical Features in Mexico: An Approach Using Deep Neural Networks.
_h[electronic resource]
260 _bInternational journal of environmental research and public health
_c01 2019
500 _aPublication Type: Journal Article; Research Support, Non-U.S. Gov't
650 0 4 _aAdult
650 0 4 _aArea Under Curve
650 0 4 _aDiabetes Mellitus
_xdiagnosis
650 0 4 _aEarly Diagnosis
650 0 4 _aFemale
650 0 4 _aHealth Status
650 0 4 _aHumans
650 0 4 _aMale
650 0 4 _aMexico
650 0 4 _aMiddle Aged
650 0 4 _aModels, Theoretical
650 0 4 _aNeural Networks, Computer
650 0 4 _aROC Curve
700 1 _aZanella-Calzada, Laura A
700 1 _aGalván-Tejada, Carlos E
700 1 _aGarcía-Hernández, Alejandra
700 1 _aCruz, Miguel
700 1 _aValladares-Salgado, Adan
700 1 _aGalván-Tejada, Jorge I
700 1 _aGamboa-Rosales, Hamurabi
773 0 _tInternational journal of environmental research and public health
_gvol. 16
_gno. 3
856 4 0 _uhttps://doi.org/10.3390/ijerph16030381
_zAvailable from publisher's website
999 _c29309923
_d29309923