Texture Feature-Based Machine Learning Classification on MRI Image for Sepsis-Associated Encephalopathy Detection: A Pilot Study.
Xiao MoXin XiongYijie WangHeyi GuYuhang YangJianfeng HePublished in: Computational and mathematical methods in medicine (2023)
The texture features differed between SAE patients and patients with sepsis alone in different anatomical locations, suggesting that MRI-based texture analysis with machine learning might be helpful in differentiating SAE from sepsis alone.
Keyphrases
- machine learning
- contrast enhanced
- deep learning
- magnetic resonance imaging
- acute kidney injury
- intensive care unit
- septic shock
- end stage renal disease
- artificial intelligence
- magnetic resonance
- computed tomography
- diffusion weighted imaging
- big data
- chronic kidney disease
- newly diagnosed
- ejection fraction
- peritoneal dialysis
- prognostic factors
- early onset
- patient reported outcomes
- patient reported
- loop mediated isothermal amplification
- label free