Machine-learning model for the prediction of acute orthostatic hypotension after levodopa administration.
Zhu LiuShinuan LinJunhong ZhouXuemei WangZhan WangYaqin YangHuizi MaZhonglue ChenKang RenLingyu WuHaimei ZhuangYun LingTao FengPublished in: CNS neuroscience & therapeutics (2024)
The validated classifier could serve as a valuable tool for clinicians, offering the probability of a patient developing AOHPL at an early stage. This supports clinical decision-making, potentially enhancing the quality of life for PD patients.
Keyphrases
- early stage
- machine learning
- end stage renal disease
- decision making
- chronic kidney disease
- ejection fraction
- newly diagnosed
- liver failure
- prognostic factors
- palliative care
- parkinson disease
- case report
- artificial intelligence
- patient reported outcomes
- drug induced
- intensive care unit
- hepatitis b virus
- rectal cancer
- acute respiratory distress syndrome