J Psychiatr Res. 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.
Boitsebiso ba Mongoli
- 1Lefapha la Psychiatry, Univesithi ea Cambridge, UK; Cambridge le Peterborough NHS Foundation Trust, Cambridge, UK.
- 2Setsi sa Behaeveal and Clinical Neuroscience Institute, Univesithi ea Cambridge, UK.
- 3University College London, Lefapha la Saense ea Statistical, London, UK.
- 4Lefapha la Psychiatry le Behavioral Neuroscience, Univesithi ea Chicago, Chicago, IL, USA.
- 5Setsi sa MRC sa US / UCT mabapi le Matšoenyeho le Mathata a Khatello ea maikutlo, Lefapha la Psychiatry, Univesithi ea Stellenbosch, Afrika Boroa.
- 6Lefapha la Psychiatry le Behavioral Neuroscience, Univesithi ea Chicago, Chicago, IL, USA. Aterese ea elektroniki: [imeile e sirelelitsoe].
inahaneloang
Tšebeliso e nang le mathata ea inthanete e atile, ha e sebetse hantle ebile e hloka thuto e tsoelang pele. Kamano ea eona le mathata a ho qhekella le a susumetsang maikutlo ha e hlake hantle. Morero oa rona e ne e le ho lekola hore na ts'ebeliso e nang le mathata ea inthanete e ka boleloa esale pele ho tsoa mefuteng e tsebahalang ea litšobotsi tse sa tsitsang le tse qobelloang le matšoao a matšoao. Re ile ra hira baithaopi ba lilemo li 18 ho ea holimo re sebelisa lipapatso tsa media libakeng tse peli (Chicago USA, le Stellenbosch, Afrika Boroa) ho phethela patlisiso e pharaletseng ea inthanete. Ho ile ha sebelisoa tekolo ea boemo ba morao-rao ea mehlala ea ho ithuta ka mochini, e neng e kenyelletsa Logistic Regression, Random Forests le Naïve Bayes. Tšebeliso e nang le mathata ea inthanete e ile ea fumanoa e sebelisa Internet Addiction Test (IAT). Maemo a 2006 a felletseng a ile a hlahlojoa, bao 181 (9.0%) ba neng ba na le ts'ebeliso ea inthanete e nang le mathata / a boima Re sebelisa Logistic Regression le Naïve Bayes re hlahisitse khakanyo ea karolelano le moamoheli ea sebetsang sebakeng se ka tlasa mothinya (ROC-AUC) ea 0.83 (SD 0.03) athe re sebelisa algorithm ea Meru e sa Lebelloang theolelo ea ROC-AUC e ne e le 0.84 (SD 0.03) [kaofela mefuta e meraro e phahametseng mefuta ea motheo p <0.0001]. Mefuta e bonts'itse phetisetso e matla lipakeng tsa libaka tsa boithuto litsing tsohle tsa netefatso [p <0.0001]. Ho bolela esale pele ka ts'ebeliso e nang le mathata ea inthanete ho ne ho ka khoneha ho sebelisoa mehato e ikhethileng ea ho se ts'oenyehe le ho qobelloa ho baithaopi. Ntle le moo, thuto ena e fana ka bopaki ba mohopolo ho ts'ehetsa ho sebelisa mochini ho ithuteng ka mafu a kelello ho bonts'a boikarabello ba liphetho maemong a arohaneng le moetlong o fapaneng.
LINKOTSO:
ADHD; Ho qobelloa; Ho susumetsa; Ts'ebeliso ea inthanete; Ho ithuta ka mochini; OCD
PMID:27580487
DOI:10.1016 / j.jpsychires.2016.08.010
;
