000 01790 a2200541 4500
005 20250517073741.0
264 0 _c20160929
008 201609s 0 0 eng d
022 _a1573-2517
024 7 _a10.1016/j.jad.2015.12.066
_2doi
040 _aNLM
_beng
_cNLM
100 1 _aPassos, Ives Cavalcante
245 0 0 _aIdentifying a clinical signature of suicidality among patients with mood disorders: A pilot study using a machine learning approach.
_h[electronic resource]
260 _bJournal of affective disorders
_cMar 2016
300 _a109-16 p.
_bdigital
500 _aPublication Type: Journal Article; Research Support, N.I.H., Extramural; Research Support, Non-U.S. Gov't
650 0 4 _aAdolescent
650 0 4 _aAdult
650 0 4 _aAged
650 0 4 _aAlgorithms
650 0 4 _aComorbidity
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 _aModels, Statistical
650 0 4 _aMood Disorders
_xepidemiology
650 0 4 _aPilot Projects
650 0 4 _aReproducibility of Results
650 0 4 _aRisk Assessment
_xmethods
650 0 4 _aRisk Factors
650 0 4 _aSuicide, Attempted
_xstatistics & numerical data
650 0 4 _aYoung Adult
650 0 4 _aSuicide Prevention
700 1 _aMwangi, Benson
700 1 _aCao, Bo
700 1 _aHamilton, Jane E
700 1 _aWu, Mon-Ju
700 1 _aZhang, Xiang Yang
700 1 _aZunta-Soares, Giovana B
700 1 _aQuevedo, Joao
700 1 _aKauer-Sant'Anna, Marcia
700 1 _aKapczinski, Flávio
700 1 _aSoares, Jair C
773 0 _tJournal of affective disorders
_gvol. 193
_gp. 109-16
856 4 0 _uhttps://doi.org/10.1016/j.jad.2015.12.066
_zAvailable from publisher's website
999 _c25636464
_d25636464