Related references
Note: Only part of the references are listed.
Article
Computer Science, Artificial Intelligence
Overly optimistic prediction results on imbalanced data: a case study of flaws and benefits when applying over-sampling
Gilles Vandewiele et al.
Summary: Although information extracted from electrohysterography recordings could provide valuable insights into estimating the risk of preterm birth, recent studies have reported overly optimistic results due to a methodological flaw. Specifically, applying over-sampling before partitioning the data could lead to biased results, impacting the predictive performance of related studies.
ARTIFICIAL INTELLIGENCE IN MEDICINE (2021)
Article
Engineering, Biomedical
Automated detection of preterm condition using uterine electromyography based topological features
S. Vinothini et al.
Summary: This study aims to develop an automated system for effective detection of preterm conditions using EHG signals and topological features. Results showed that the system could accurately differentiate term and preterm conditions with the maximum accuracy and positive predictive value of about 98.6%.
BIOCYBERNETICS AND BIOMEDICAL ENGINEERING (2021)
Share Paper
