Developing a novel prediction model in opioid overdose using machine learning; a pilot analytical study.
Ehsan SakhaeeAli AmirahmadiMorteza MahdianiMaziar ShojaeiHossein Hassanian-MoghaddamRoman BauerNasim ZamaniHossein PakdamanKourosh GharagozliPublished in: Health science reports (2022)
Considering the higher specificity and negative predictive value in our proposed model, it could predict survival much better than mortality. The model would constitute an indicator for better care of opioid poisoned patients in low resources settings, where intensive care unit beds are limited.
Keyphrases
- intensive care unit
- pain management
- end stage renal disease
- chronic pain
- healthcare
- ejection fraction
- newly diagnosed
- chronic kidney disease
- palliative care
- peritoneal dialysis
- prognostic factors
- type diabetes
- randomized controlled trial
- cardiovascular events
- risk factors
- quality improvement
- mechanical ventilation
- cardiovascular disease
- mass spectrometry
- free survival
- affordable care act