A Systematic Review of Algorithms for Identifying Pediatric Neurodevelopmental Outcomes
Sign Up to like & getrecommendations! Published in 2025 at "Pharmacoepidemiology and Drug Safety"
DOI: 10.1002/pds.70196
Abstract: Investigating pediatric neurodevelopmental outcomes (NDO) in studies using secondary data is often challenging due to heterogeneous clinical definitions and medical coding systems. This study aims to identify the algorithms used to define NDO in studies… read more here.
Keywords: algorithms identifying; systematic review; pediatric neurodevelopmental; neurodevelopmental outcomes ... See more keywords
Performance of algorithms for identifying patients with chronic hepatitis B or C infection in the french health insurance claims databases using the ANRS CO22 HEPATHER cohort
Sign Up to like & getrecommendations! Published in 2022 at "Journal of Viral Hepatitis"
DOI: 10.1111/jvh.13788
Abstract: The validity of algorithms for identifying patients with chronic hepatitis B or C virus (HBV or HCV) infection in claims databases has been little explored. The performance of 15 algorithms was evaluated. Data from HBV‐… read more here.
Keywords: patients chronic; identifying patients; algorithms identifying; infection ... See more keywords
Validity of algorithms for identifying mild traumatic brain injury in the French national emergency department database OSCOUR: a retrospective multicentre validation study protocol
Sign Up to like & getrecommendations! Published in 2022 at "BMJ Open"
DOI: 10.1136/bmjopen-2021-059961
Abstract: Introduction The French emergency department (ED) surveillance network OSCOUR transmits data on ED visits to Santé publique France (the national public health agency). As these data are collected daily and are almost exhaustive at a… read more here.
Keywords: algorithms identifying; database; validation; mild traumatic ... See more keywords
Machine Learning Algorithms for Identifying Dependencies in OT Protocols
Sign Up to like & getrecommendations! Published in 2023 at "Energies"
DOI: 10.3390/en16104056
Abstract: This study illustrates the utility and effectiveness of machine learning algorithms in identifying dependencies in data transmitted in industrial networks. The analysis was performed for two different algorithms. The study was carried out for the… read more here.
Keywords: learning algorithms; algorithms identifying; dependencies protocols; machine learning ... See more keywords