2020
A Deep Learning Approach for Missing Data Imputation of Rating Scales Assessing Attention-Deficit Hyperactivity Disorder
Cheng CY, Tseng WL, Chang CF, Chang CH, Gau SS. A Deep Learning Approach for Missing Data Imputation of Rating Scales Assessing Attention-Deficit Hyperactivity Disorder. Frontiers In Psychiatry 2020, 11: 673. PMID: 32765316, PMCID: PMC7379397, DOI: 10.3389/fpsyt.2020.00673.Peer-Reviewed Original ResearchAttention-deficit/hyperactivity disorderContinuous Performance TestHyperactivity disorderTeacher reportsConners' Continuous Performance TestAttention deficit hyperactivity disorderHyperactivity/impulsivityVersion IV scaleADHD Rating ScaleTD groupOppositional behaviorADHD diagnosisConners ratingsBehavioral studiesBehavioral symptomsImputation orderChinese versionYouthDeep learning approachShort formParentsImputed datasetDeep learning methodsRating ScalePerformance tests
2007
Association Between Sleep Problems and Symptoms of Attention-Deficit/Hyperactivity Disorder in Young Adults
Gau SS, Kessler RC, Tseng WL, Wu YY, Chiu YN, Yeh CB, Hwu HG. Association Between Sleep Problems and Symptoms of Attention-Deficit/Hyperactivity Disorder in Young Adults. Sleep 2007, 30: 195-201. PMID: 17326545, DOI: 10.1093/sleep/30.2.195.Peer-Reviewed Original ResearchConceptsAttention-deficit/hyperactivity disorderAdult ADHD Self-Report ScaleADHD Self-Report ScaleSelf-report scalesADHD groupSleep problemsNocturnal sleep durationHyperactivity disorderYoung adultsSleep needNon-ADHD groupsProbable attention deficit/hyperactivity disorderGreater sleep needFirst-year college studentsSleep durationSleep-related problemsHyperactivity symptomsHyperactivity subscaleCommunity sampleInattentionPrior findingsSleep scheduleCollege studentsCross-sectional surveyChinese version