文献
J-GLOBAL ID:202102247598713266
整理番号:21A0079838
脳波パターン認識:リス脳症の小児における臨床転帰を予測する単純なツール【JST・京大機械翻訳】
Electrographic pattern recognition: A simple tool to predict clinical outcome in children with lissencephaly
著者 (5件):
Jauhari Prashant
(Center of Excellence and Advanced Research on Childhood Neurodevelopmental Disorders, Child Neurology Division, Department of Pediatrics, All India Institute of Medical Sciences, New Delhi, India)
,
Farmania Rajni
(Center of Excellence and Advanced Research on Childhood Neurodevelopmental Disorders, Child Neurology Division, Department of Pediatrics, All India Institute of Medical Sciences, New Delhi, India)
,
Chakrabarty Biswaroop
(Center of Excellence and Advanced Research on Childhood Neurodevelopmental Disorders, Child Neurology Division, Department of Pediatrics, All India Institute of Medical Sciences, New Delhi, India)
,
Kumar Atin
(Department of Radiodiagnosis, JNPATC, All India Institute of Medical Sciences, New Delhi, India)
,
Gulati Sheffali
(Center of Excellence and Advanced Research on Childhood Neurodevelopmental Disorders, Child Neurology Division, Department of Pediatrics, All India Institute of Medical Sciences, New Delhi, India)
資料名:
Seizure: European Journal of Epilepsy
(Seizure: European Journal of Epilepsy)
巻:
83
ページ:
175-180
発行年:
2020年
JST資料番号:
W3277A
ISSN:
1059-1311
資料種別:
逐次刊行物 (A)
記事区分:
原著論文
発行国:
オランダ (NLD)
言語:
英語 (EN)