Institution-Specific Machine Learning Models for Prehospital Assessment to Predict Hospital Admission: Prediction Model Development Study.

Toru Shirakawa Tomohiro Sonoo Kentaro Ogura Ryo Fujimori Konan Hara Tadahiro Goto Hideki Hashimoto Yuji Takahashi Hiromu Naraba Kensuke Nakamura

Published in: JMIR medical informatics (2020)

For patients transferred to EDs, we developed a well-performing hospital admission prediction model based on routinely collected prehospital information including chief complaints.

Keyphrases

machine learning
end stage renal disease
cardiac arrest
emergency department
healthcare
ejection fraction
chronic kidney disease
newly diagnosed
prognostic factors
trauma patients
artificial intelligence
emergency medical