e-journal

Predictive Value of Morphological Features in Patients with Autism versus Normal Controls

---

Abstract
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.

---

Ketersediaan

Tidak ada salinan data

Informasi Detail

Judul Seri

-

No. Panggil

-

Penerbit

: Springer US., 2013

Deskripsi Fisik

J Autism Dev Disord (2013) 43:147–155 DOI 10.1007/s10803-012-1554-4

Bahasa

English

ISBN/ISSN

1573-3432

Klasifikasi

-

Tipe Isi

-

Tipe Media

-

Tipe Pembawa

-

Edisi

-

Subjek

KESEHATAN MASYARAKAT
AUTIS

Info Detail Spesifik

-

Pernyataan Tanggungjawab

ETY

Versi lain/terkait

Lampiran Berkas

Komentar

---

Anda harus masuk sebelum memberikan komentar