Predicting Long‐Term Depression Progression in Parkinson's Disease: A Machine‐Learning Survival Analysis and Risk Score
An explainable survival model and integer-based risk score using routinely collected measures predicted long-term dPD progression and enabled pragmatic risk stratification to support early, personalized management.
Authors
- Yutong Zhuang (ORCID: https://orcid.org/0009-0005-1954-546X)
- Hao Xie (ORCID: https://orcid.org/0000-0002-7801-0511)
- Yang Jiang (ORCID: https://orcid.org/0000-0002-5364-1421)
- Tao Hu (ORCID: https://orcid.org/0000-0002-9728-186X)
- Guofan Qin (ORCID: https://orcid.org/0000-0003-4215-5492)
- Xinyu Zhao (ORCID: https://orcid.org/0000-0002-5128-4424)
- Jing Zhang (ORCID: https://orcid.org/0000-0003-3064-7625)
- Mingliang Yang (ORCID: https://orcid.org/0000-0002-9684-9919)
- Jiansong Huang (ORCID: https://orcid.org/0000-0001-7794-3443)
- Sizhe Li
- Xin Zhang
- Chong Qi
- Quan Zhang
- Yue Lu
- Defu Liu
Institutions
- Capital Medical University (CN)
- Peking University (CN)
- Beijing Tian Tan Hospital (CN)
- Beijing Institute of Neurosurgery (CN)
Publication Details
- Journal
- CNS Neuroscience & Therapeutics
- Published
- 2026-03-28
- DOI
- https://doi.org/10.1002/cns.70845
- Primary Topic
- Parkinson's Disease Mechanisms and Treatments
- Type
- article
- Field-Weighted Citation Impact
- 0.00