文献
J-GLOBAL ID:201802212093588874
整理番号:18A0622601
多発性硬化症における転倒予測:電気生理学的測定は臨床的測定と比較したより良い予測精度を持っているか【Powered by NICT】
Predicting falls in multiple sclerosis: Do electrophysiological measures have a better predictive accuracy compared to clinical measures?
著者 (6件):
Chinnadurai Somasundaram Aadhimoolam
(Institute of Neurology, Madras Medical College, Chennai 600003, Tamilnadu, India)
,
Gandhirajan Divya
(Lalitha Super Specialty Hospital, Kothapet, Guntur 522001, Andhra Pradesh, India)
,
Srinivasan Avathvadi Venkatesan
(Institute of Neurology, Madras Medical College, Chennai 600003, Tamilnadu, India)
,
Kesavamurthy Bhanu
(Institute of Neurology, Madras Medical College, Chennai 600003, Tamilnadu, India)
,
Ranganathan Lakshmi Narasimhan
(Institute of Neurology, Madras Medical College, Chennai 600003, Tamilnadu, India)
,
Pamidimukkala Vijaya
(Lalitha Super Specialty Hospital, Kothapet, Guntur 522001, Andhra Pradesh, India)
資料名:
Multiple Sclerosis and Related Disorders
(Multiple Sclerosis and Related Disorders)
巻:
20
ページ:
199-203
発行年:
2018年
JST資料番号:
W3397A
ISSN:
2211-0348
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)