Browsing Publikasjoner fra CRIStin FHI by Subject "Maskinlæring"
Now showing items 1-6 of 6
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AMR-Diag: Neural network based genotype-to-phenotype prediction of resistance towards β-lactams in Escherichia coli and Klebsiella pneumoniae
(Peer reviewed; Journal article, 2021) -
Evaluering av OpenAlex
(Research report, 2023)For kunnskapsoppsummeringer er det et mål at litteratursøket identifiserer alle relevante studier. En ny søkekilde for å identifisere studier er OpenAlex, som er en videreføring av datasettet Microsoft Academic Graph (MAG). ... -
Implementation of Machine Learning in Cluster for Reviews and Health Technology Assessments: Results for ML 3.0
(Research report, 2024)In 2020, the Cluster for Reviews and Health Technology Assessments (HTV) at the Norwegian Institute of Public Health (NIPH) established a dedicated machine learning (ML) team. The ML team has since become an international ... -
Implementation of Machine Learning in Division for Health Services: Strategy Proposal from 2024
(Report, 2024)In 2020, the Cluster for Reviews and Health Technology Assessments (HTV) at the Norwegian Institute of Public Health (NIPH) established a dedicated machine learning (ML) team. The ML team has since become an international ... -
Implementing machine learning in an evidence synthesis group: Recommendations based on a three-year implementation process
(Research report, 2024)The evidence synthesis process is a labour- and resource intensive process but using machine learning (ML) is one way to expedite the evidence synthesis process without compromising quality. Therefore, in 2020, the Cluster ... -
Using neural networks to support high-quality evidence mapping
(Peer reviewed; Journal article, 2021)Abstract Background: The Living Evidence Map Project at the Norwegian Institute of Public Health (NIPH) gives an updated overview of research results and publications. As part of NIPH’s mandate to inform evidence-based ...