Online interpretable dynamic prediction models for postoperative delirium after cardiac surgery under cardiopulmonary bypass developed based on machine learning algorithms: A retrospective cohort study.
Xiuxiu ZhaoJunlin LiXianhai XieZhaojing FangYue FengYi ZhongChen ChenKaizong HuangChun GeHongwei ShiYanna SiJianjun ZouPublished in: Journal of psychosomatic research (2023)
We successfully developed online interpretable dynamic ANN models as clinical decision aids to identify patients at high risk of POD before and after cardiac surgery to facilitate early intervention or care.
Keyphrases
- machine learning
- social media
- health information
- healthcare
- randomized controlled trial
- artificial intelligence
- patients undergoing
- palliative care
- deep learning
- cardiac surgery
- big data
- quality improvement
- antiretroviral therapy
- pain management
- decision making
- neural network
- hip fracture
- acute kidney injury
- affordable care act
- health insurance