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Updated: Jan 14, 2026

Dynamic Digital Biomarkers of Motor and Cognitive Function in Parkinson's Disease
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动态预测使用功能潜伏特征关节模型用于多变量纵向结果:对帕金森病的应用

Mohammad Samsul Alam1, Dongrak Choi1, Salil Koner1

  • 1Department of Biostatistics and Bioinformatics, Duke University, Durham, North Carolina, USA.

Statistics in medicine
|October 17, 2025
PubMed
概括

这项研究引入了一个新的模型 (FLTM-JM) 来分析复杂的帕金森病 (PD) 数据,整合症状进展和生存结果,以获得更好的患者洞察力和个性化治疗策略.

关键词:
贝叶斯的推理 贝叶斯的推理疾病的进展 疾病的进展功能数据分析数据分析.个性化医疗是个性化的医疗.生存分析,生存分析.

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