愱栧椞堟

嫵堢椪彴乮妛峑尰応偱偺怱棟椪彴幚慔乯
敪払椪彴乮巚弔婜埲崀偺怱棟偲巟墖乯

尋媶撪梕

妛峑尰応偵偍偗傞怱棟椪彴偵偮偄偰偺幚慔揑尋媶乮晄搊峑丆偄偠傔丆帺懜姶忣丆嫵巘偺僶乕儞傾僂僩乯丅巚弔婜埲崀偺恖奿宍惉乮屄恖壔丒幮夛 壔乯丅晄堢徢乮棳嶻丒巰嶻乯偺怱棟偲巟墖

庡側挊彂丒榑暥

亀晄搊峑 偦偺怱傕傛偆偲巟墖偺幚嵺亁乮嬥巕彂朳丆扨挊乯
亀巚弔婜丒惵擭婜椪彴怱棟妛亁乮挬憅彂揦丆曇挊乯
亀僗僋乕儖僇僂儞僙儔乕偺巇帠亁乮娾攇彂揦丆扨挊乯
亀屄恖巙岦惈丒幮夛巙岦惈偐傜尒偨恖奿宍惉偵娭偡傞堦尋媶亁乮杒戝楬弌斉丆扨挊乯

愱栧椞堟

斊嵾怱棟妛丆斊嵾妛丆椪彴怱棟妛

尋媶撪梕

斊嵾偵娭偡傞偙偲傪庡偵尋媶偟偰偄傞偑丆幚慔偲偟偰怱棟傾僙僗儊儞僩傗婋婡夘擖傕峴偭偰偒偰偄傞丅嬶懱揑側尋媶僥乕儅偼師偺偲偍傝偱偁傞丅斊嵾偺尨場偼壗偐丅偳偺傛偆偵偡傟偽斊嵾摍偺栤戣峴摦傪偟側偄傛偆偵側傞偐丅斊嵾偵傑偮傢傞偝傑偞傑側幮夛栤戣偵偮偄偰丅柺愙朄傗幙栤巻朄偵傛傞怱棟傾僙僗儊儞僩丅崲擄側忬嫷偵抲偐傟偨恖傊偺怱偺働傾

庡側挊彂丒榑暥

亀僐儞僷僋僩斊嵾怱棟妛亁乮杒戝楬彂朳丆嫟曇媦傃暘扴幏昅乯
亀戝嵭奞偲斊嵾亁乮朄棩暥壔幮丆暘扴幏昅乯
亀旕峴偐傜偺棫偪捈傝偺梫審亁乮尰戙偺僄僗僾儕,462,170-180丆扨挊乯
亀旕峴彮擭偑惉恖斊嵾幰偲側傞儕僗僋梫場偵娭偡傞尋媶亁乮斊嵾幮夛妛尋媶,27,102-112丆扨挊乯

愱栧椞堟

椪彴怱棟妛丄梀媃椕朄丄擕梒帣怱棟椪彴

尋媶撪梕

擕梒帣婜偐傜偺巕偳傕偲梴堢幰傊偺怱棟椪彴幚慔偲尋媶乮梀媃椕朄丄敪払憡択丄巕堢偰巟墖丄彫帣壢椞堟乯丅怱棟椪彴偵偍偗傞敪払偺帇揰丄乽梀傃乿傗乽尵梩乿偵昞尰偝傟傞怱偺條憡偵偮偄偰偺尋媶丅

庡側挊彂丒榑暥

亀梀媃椕朄偺夁掱乗梀傇偙偲丒榖偡偙偲乗亁乮尰戙偺僄僗僾儕暿嶜丒椪彴怱棟柺愙尋媶僙儈僫乕丆帄暥摪丆嫟挊乯
亀帺暵徢帣偵偍偗傞帺暘偱偼側偄(not-me)懱尡乗偁傞敪払専嵏応柺偱偺宍崌傢偣梀傃傪捠偟偰乗亁乮梀媃椕朄妛尋媶丆5(1)丆3-11乯
亀堏峴懳徾丒堏峴尰徾偵娭偡傞擇偮偺帇揰亁乮怱棟椪彴妛尋媶丆22(3)丆285-296乯
亀彫帣壢偱偺敪払僼僅儘乕偲怱棟椕朄乗尵梩偑惗傑傟傞嬻娫乗亁乮怱棟椕朄偲堛妛偺愙揰丆憂尦幮丆嫟挊乯

愱栧椞堟

擣抦峴摦椕朄丄椪彴怱棟妛

尋媶撪梕

偆偮傪書偊傞恖偺墖彆梫惪峴摦偵娭偡傞尋媶丄偆偮丒晄埨偵懳偡傞僀儞僞乕僱僢僩擣抦峴摦椕朄僾儘僌儔儉乮iCBT乯偺奐敪丒岠壥専摙丄峴摦椕朄偺嶌梡婡彉丄擣抦峴摦椕朄偲怷揷椕朄傪偼偠傔偲偡傞懠椕朄偺摑崌丅

庡側挊彂丒榑暥

亀偆偮偲墖彆傪偮側偖乗墖彆帒尮儅僢僠儞僌偵岦偗偨椪彴怱棟妛尋媶乗亁(搶嫗戝妛弌斉夛, 扨挊)
亀戝妛惗偺梷偆偮徢忬偺墖彆梫惪偵偍偗傞妝娤揑擣抦僶僀傾僗亁(怱棟妛尋媶, 83, 430-439, 嫟挊)
亀梷偆偮徢忬偵娭偡傞墖彆婓媮峴摦偵偍偗傞妝娤揑擣抦僶僀傾僗偲偦偺娭楢梫場亁(惛恄堛妛, 54, 287-296, 嫟挊)
亀偆偮昦姵幰偼偆偮昦傪偳偺傛偆偵懆偊偰庴恌偵帄傞偺偐乗庴恌慜偺昦幆宍惉僾儘僙僗偵娭偡傞幙揑尋媶乗亁(椪彴怱棟妛, 11, 383-395, 扨挊)

愱栧椞堟

椪彴怱棟妛丄恖奿怱棟妛丄妛惗憡択

尋媶撪梕

妛惗憡択椞堟偵偍偗傞怱棟椪彴幚慔偲丄尰戙惵擭偺懡柺揑側帺屓偺偁傝偐偨傗庡懱惈偵偮偄偰偺尋媶丅

庡側挊彂丒榑暥

亀乽帺暘乿偲偼壗偐乗擔忢岅偵傛傞怱棟椪彴妛揑扵媶偺帋傒乗亁乮憂尦幮丆扨挊乯
亀庡懱惈偺朢偟偄妛惗偲偺柺愙夁掱乗僇僂儞僙儔乕偑嫃懕偗傞偙偲偺廳梫惈乗亁乮妛惗憡択尋媶丆42(1)丆12-22丆扨挊乯
亀崅峑惗偺 LINE 偱偺傗傝偲傝偵懳偡傞擣抦偵尰戙惵擭偺桭恖娭學摿挜偑媦傏偡塭嬁亁乮僷乕僜僫儕僥傿尋媶丆26(1)丆76-88丆嫟挊乯
亀乽帺暘偑側偄乿 偲偄偆擔忢岅偺堄枴偵偮偄偰偺怱棟椪彴妛揑峫嶡亁乮怱棟椪彴妛尋媶丆33(6)丆625-634丆扨挊乯

愱栧椞堟

椪彴怱棟妛丄壠懓怱棟妛丄榁擭椪彴怱棟妛

尋媶撪梕

壠懓怱棟妛偵婎偯偔壠懓夘岇幰偺偨傔偺僙儖僼働傾僾儘僌儔儉奐敪丄戝妛偵偍偗傞庒幰働傾儔乕巟墖丄怱棟広搙夞摎偵偍偗傞崲擄丄崅楊幰偺怱棟揑Well-being丅

庡側挊彂丒榑暥

亀幚恊夘岇偵偍偗傞峴摦條幃偲惛恄揑栤戣亁乮榁擭椪彴怱棟妛尋媶, 5, 21-33. 扨挊乯
亀Prediction of mental health problem using annual student health survey: Machine learning approach亁乮JMIR Mental Health, 10, e42420. 嫟挊乯