Data‐driven disease progression model of Parkinson's disease and effect of sex and genetic variants

• 主要な著者: Ryota Jin (著者), Hideki Yoshioka (著者), Hiromi Sato (著者), Akihiro Hisaka (著者)
• フォーマット: 図書
• 出版事項: Wiley, 2024-04-01T00:00:00Z.
• 主題: article
• オンライン･アクセス: Connect to this object online.

Abstract As Parkinson's disease (PD) progresses, there are multiple biomarker changes, and sex and genetic variants may influence the rate of progression. Data‐driven, long‐term disease progression model analysis may provide precise knowledge of the relationships between these risk factors and...