Centre d'Information et de documentation du CRA Rhône-Alpes
CRA
Informations pratiques
-
Adresse
Centre d'information et de documentation
du CRA Rhône-Alpes
Centre Hospitalier le Vinatier
bât 211
95, Bd Pinel
69678 Bron CedexHoraires
Lundi au Vendredi
9h00-12h00 13h30-16h00Contact
Tél: +33(0)4 37 91 54 65
Mail
Fax: +33(0)4 37 91 54 37
-
Résultat de la recherche
1 recherche sur le mot-clé 'Minor anomaly'
Affiner la recherche Générer le flux rss de la recherche
Partager le résultat de cette recherche Faire une suggestion
Predictive Value of Morphological Features in Patients with Autism versus Normal Controls / Heval M. OZGEN in Journal of Autism and Developmental Disorders, 43-1 (January 2013)
[article]
Titre : Predictive Value of Morphological Features in Patients with Autism versus Normal Controls Type de document : Texte imprimé et/ou numérique Auteurs : Heval M. OZGEN, Auteur ; Gerhard S. HELLEMANN, Auteur ; M. V. JONGE, Auteur ; Frits A. BEEMER, Auteur ; Herman VAN ENGELAND, Auteur Article en page(s) : p.147-155 Langues : Anglais (eng) Mots-clés : Autism Common variant Endophenotype Morphology Minor anomaly Predictive value ROC Recursive partitioning Index. décimale : PER Périodiques Résumé : We investigated the predictive power of morphological features in 224 autistic patients and 224 matched-pairs controls. To assess the relationship between the morphological features and autism, we used the receiver operator curves (ROC). In addition, we used recursive partitioning (RP) to determine a specific pattern of abnormalities that is characteristic for the difference between autistic children and typically developing controls. The present findings showed that morphological features are significantly increased in patients with autism. Using ROC and RP, some of the morphological measures also led to strong predictive accuracy. Facial asymmetry, multiple hair whorls and prominent forehead significantly differentiated patients with autism from controls. Future research on multivariable risk prediction models may benefit from the use of morphological features. En ligne : http://dx.doi.org/10.1007/s10803-012-1554-4 Permalink : https://www.cra-rhone-alpes.org/cid/opac_css/index.php?lvl=notice_display&id=187
in Journal of Autism and Developmental Disorders > 43-1 (January 2013) . - p.147-155[article] Predictive Value of Morphological Features in Patients with Autism versus Normal Controls [Texte imprimé et/ou numérique] / Heval M. OZGEN, Auteur ; Gerhard S. HELLEMANN, Auteur ; M. V. JONGE, Auteur ; Frits A. BEEMER, Auteur ; Herman VAN ENGELAND, Auteur . - p.147-155.
Langues : Anglais (eng)
in Journal of Autism and Developmental Disorders > 43-1 (January 2013) . - p.147-155
Mots-clés : Autism Common variant Endophenotype Morphology Minor anomaly Predictive value ROC Recursive partitioning Index. décimale : PER Périodiques Résumé : We investigated the predictive power of morphological features in 224 autistic patients and 224 matched-pairs controls. To assess the relationship between the morphological features and autism, we used the receiver operator curves (ROC). In addition, we used recursive partitioning (RP) to determine a specific pattern of abnormalities that is characteristic for the difference between autistic children and typically developing controls. The present findings showed that morphological features are significantly increased in patients with autism. Using ROC and RP, some of the morphological measures also led to strong predictive accuracy. Facial asymmetry, multiple hair whorls and prominent forehead significantly differentiated patients with autism from controls. Future research on multivariable risk prediction models may benefit from the use of morphological features. En ligne : http://dx.doi.org/10.1007/s10803-012-1554-4 Permalink : https://www.cra-rhone-alpes.org/cid/opac_css/index.php?lvl=notice_display&id=187