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
- newly diagnosed
- ejection fraction
- chronic kidney disease
- liver failure
- peritoneal dialysis
- palliative care
- case report
- parkinson disease
- deep brain stimulation
- intensive care unit
- respiratory failure
- lymph node
- sentinel lymph node
- hepatitis b virus
- acute respiratory distress syndrome
- locally advanced