Explainable Machine Learning Approach to Prediction of Prolonged Intesive Care Unit Stay in Adult Spinal Deformity Patients: Machine Learning Outperforms Logistic Regression.
Bashar ZaidatMark KurapattiJonathan S GalSamuel K ChoJun S KimPublished in: Global spine journal (2024)
We developed a ML model that was able to predict whether prolonged ICU stay was required in ASD patients. Further SHAP analysis demonstrated our model aligned with traditional clinical thinking. Thus, ML models have strong potential to assist with risk stratification and more effective and cost-efficient care.
Keyphrases
- machine learning
- end stage renal disease
- newly diagnosed
- ejection fraction
- healthcare
- palliative care
- peritoneal dialysis
- prognostic factors
- spinal cord
- autism spectrum disorder
- artificial intelligence
- intensive care unit
- patient reported outcomes
- quality improvement
- attention deficit hyperactivity disorder
- young adults
- deep learning
- working memory