J Lagolago Faʻataʻitaʻi. 2016 Aug 15;83:94-102. doi: 10.1016 / j.jpsychires.2016.08.010.
Ioannidis K1, Chamberlain SR1, Treder MS2, Kiraly F3, Leppink EW4, Redden SA4, Stein DJ5, Lochner C5, Grant JE6.
Tusi tusitala
- 1Matagaluega o Tomai Faʻapitoa, Iunivesite o Cambridge, Peretania; Cambridge ma Peterborough NHS Foundation Trust, Cambridge, Peretania.
- 2Faʻaauau le Neuroscience Institute, ma le University of Cambridge, UK.
- 3University College London, Matagaluega o Fuainumera Faamauina, Lonetona, Peretania.
- 4Department of Psychiatry and Neuroscience Behaviol, University of Chicago, Chicago, IL, ISA.
- 5US / UCT MRC Unit ile Faʻalavelave ma Faʻafitauli o Faʻalavelave, Matagaluega o Fomaʻi, Iunivesite o Stellenbosch, Aferika i Saute.
- 6Department of Psychiatry and Neuroscience Behaviol, University of Chicago, Chicago, IL, ISA. Tuatusi eletise: [imeli puipuia].
lē faʻatino
Faʻafitauli initaneti faʻaaogaina e taatele, gaioiga faʻaletonu, ma i le manaʻomia o nisi suʻesuʻega. O lona sootaga ma le le mautonu-faʻamalosia ma le osooso faʻaleagaina e le manino. O la matou sini o le iloiloina pe o faʻafitauli i luga o le initaneti mafai ona valoʻia mai aloaʻia ituaiga o le faʻaosofia ma le faʻamalosia uiga ma faʻailoga. Na matou suʻea volenitia tausaga 18 ma luga atu faʻaaogaina faʻasalalauga faʻasalalauga i lua nofoaga (Chicago USA, ma Stellenbosch, Aferika i Saute) e faʻamaeʻaina se tele suesuega initaneti. O le setete-o-le-oe-i fafo atu-o-faʻataʻitaʻiga suʻesuʻega o masini aʻoaʻoga vaʻaia faʻataʻitaʻiga na faʻaaogaina, e aofia ai Logistic Regression, Random Forests ma Naïve Bayes. O faʻafitauli i luga ole initaneti na faʻailoaina mai le faʻaaogaina ole Initaneti Suʻesuʻega (IAT). 2006 maeʻa mataupu na auʻiliʻiliina, o ai 181 (9.0%) na feololo ma ogaoga faʻafitauli i luga o le initaneti faʻaaogaina. Faʻaogaina Logistic Regression ma Naïve Bayes na matou gaosia se faʻavasegaga valoʻaga ma le tagata e faʻaogaina le vaega o loʻo faʻatinoina lalo o le curve (ROC-AUC) o le 0.83 (SD 0.03) ae o le faʻaaogaina o le Random Forests algorithm o le valoʻaga o le ROC-AUC o le 0.84 (SD 0.03) [uma tolu faʻataʻitaʻiga sili atu nai lo faʻataʻitaʻiga faʻavae p <0.0001]. O faʻataʻitaʻiga na faʻaalia ai le malosi o le fesiʻitaʻiga i le va o nofoaga mo suʻesuʻega i faʻamaoniga uma [p <0.0001]. Valoia o faʻafitauli i luga ole initaneti faʻaogaina sa mafai ona faʻaaoga ai fua faʻapitoa o le le gaioi ma le faʻamalosia i se faitau aofaʻi o tagata volenitia. E le gata i lea, o lenei suʻesuʻega ofaina faʻamaoniga-o-manatu i le lagolago o le faʻaaogaina o masini e aʻoaʻo ai le mafaufau e faʻaalia ai le toe mafai o iʻuga i isi nofoaga ma nofoaga tuʻufaʻatasi.
FUAFUAGA:
ADHD; Faʻamalosia; Faʻaleagaina; Faʻaogaina le Initaneti; Suesueina o masini; OCD
PMID:27580487
FAIA:10.1016 / j.jpsychires.2016.08.010
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