Autism Spectrum Disorder Decision Tree Subgroups Predict Adaptive Behavior and Autism Severity Trajectories in Children with ASD.
A recent cross-sectional analysis of PDD Behavior Inventory (PDDBI) data, analyzed with a classification and regression tree algorithm, yielded a decision tree (the Autism Spectrum Disorder-Decision Tree or ASD-DT) that detected three behaviorally distinct ASD subgroups: minimally verbal, verbal, an...
| Publicado en: | Journal of Autism & Developmental Disorders Vol. 49; no. 4; pp. 1423 - 1438 |
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| Autores principales: | , |
| Formato: | research tables/charts Journal Article |
| Publicado: |
Springer Nature
Apr2019
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| Acceso en línea: | Ver este registro en EBSCOhost |
| fields | @attributes: recordID: 1 pdfLink: plink: https://search.ebscohost.com/login.aspx?direct=true&db=ccm&AN=135779433&site=ehost-live header: @attributes: shortDbName: ccm uiTerm: 135779433 longDbName: CINAHL Complete uiTag: AN controlInfo: bkinfo: dissinfo: jinfo: jid: 01623257 AUT jtl: Journal of Autism & Developmental Disorders issn: 01623257 maglogo: N pubinfo: dt: Apr2019 vid: 49 iid: 4 pid: 237 pub: Springer Nature place: New York, New York artinfo: ui: 135779433 135779433 135779433 10.1007/s10803-018-3830-4 135779433 ppf: 1423 ppct: 15 formats: fmt: – @attributes: type: T – @attributes: type: P tig: atl: Autism Spectrum Disorder Decision Tree Subgroups Predict Adaptive Behavior and Autism Severity Trajectories in Children with ASD. aug: au: Cohen, Ira L. Flory, Michael J. affil: Department of Psychology, New York State Institute for Basic Research in Developmental Disabilities, 1050 Forest Hill Road, 10314, Staten Island, NY, USA sug: subj: Adaptation, Psychological Evaluation Children with Disabilities Psychosocial Factors Autism Spectrum Disorder Diagnosis Severity of Disability Decision Trees Algorithms Psychological Tests Methods Human Cross Sectional Studies Scales Regression Verbal Behavior Retrospective Design Motor Skills Instrument Validation Autism Spectrum Disorder Prognosis ab: A recent cross-sectional analysis of PDD Behavior Inventory (PDDBI) data, analyzed with a classification and regression tree algorithm, yielded a decision tree (the Autism Spectrum Disorder-Decision Tree or ASD-DT) that detected three behaviorally distinct ASD subgroups: minimally verbal, verbal, and atypical. These subgroups differed in PDDBI profiles and in factors previously reported to be predictors of autism severity and adaptive behavior trajectories. We retrospectively analyzed trajectories of adaptive skills and autism severity in these subgroups, defined by ASD-DTs calculated from initial evaluation PDDBIs. Results confirmed predictions that each subgroup had distinct trajectories that varied with the type of adaptive behavior assessed suggesting that the ASD-DT has prognostic value that could be helpful for both clinical and research applications. pubtype: Academic Journal doctype: research tables/charts Journal Article ougenre: Article language: English refInfo: holdings: @attributes: islocal: N |
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