LASSO-Based Machine Learning Algorithm for Prediction of PICS Associated with Sepsis.
Kangping HuiChengying HongYihan XiongJinquan XiaWei HuangAndi XiaShunyao XuYuting ChenZhongwei ZhangHuaisheng ChenPublished in: Infection and drug resistance (2024)
The acquisition of RDW-CV, HF requirement, MV requirement, NE requirement, lactic acidosis, and MDR upon ICU admission emerges as a pivotal factor for prognosticating PICS onset in the context of tropical diseases. This study highlights the potential for significant improvements in clinical outcomes through the implementation of timely and targeted interventions tailored specifically to the challenges posed by tropical diseases.
Keyphrases
- machine learning
- intensive care unit
- climate change
- emergency department
- deep learning
- primary care
- multidrug resistant
- acute kidney injury
- physical activity
- artificial intelligence
- big data
- human health
- quality improvement
- mechanical ventilation
- heart failure
- smoking cessation
- acute heart failure
- drug delivery
- acute respiratory distress syndrome
- atrial fibrillation