Machine learning models predicting inpatient falls.
Sign Up to like & getrecommendations! Published in 2025 at "Scientific reports"
DOI: 10.1038/s41598-025-29592-0
Abstract: Accurate prediction of inpatient fall risk is crucial for preventing injuries and improving patient safety in hospitals. The widely used Hester-Davis score (HD) lacks precision, highlighting the need for more advanced models. This retrospective study… read more here.
Keywords: learning models; models predicting; predicting inpatient; machine learning ... See more keywords
Predicting inpatient mortality in patients with inflammatory bowel disease: A machine learning approach
Sign Up to like & getrecommendations! Published in 2022 at "Journal of Gastroenterology and Hepatology"
DOI: 10.1111/jgh.16029
Abstract: Data are lacking on predicting inpatient mortality (IM) in patients admitted for inflammatory bowel disease (IBD). IM is a critical outcome; however, difficulty in its prediction exists due to infrequent occurrence. We assessed IM predictors… read more here.
Keywords: machine learning; inflammatory bowel; predicting inpatient; mortality patients ... See more keywords
External validation of an admission risk score for predicting inpatient paediatric mortality in two Kenyan public hospitals.
Sign Up to like & getrecommendations! Published in 2024 at "Wellcome Open Research"
DOI: 10.12688/wellcomeopenres.23471.1
Abstract: Background Early identification of children at risk of mortality during hospitalization is crucial in preventing mortality in low-and middle-income countries (LMICs). This study aimed to externally validate an admission risk score for predicting inpatient paediatric… read more here.
Keywords: mortality; risk; predicting inpatient; risk score ... See more keywords