Browsing Norwegian Institute of Public Health Open Repository by Subject "Deep Learning"
Now showing items 1-6 of 6
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Aims and strategy for the implementation of machine learning in evidence synthesis in the Cluster for Reviews and Health Technology Assessments for 2021-2022
(Research report, 2021)Key messages: In 2020-2021, a team in the Cluster for Reviews and Health Technology Assessments, Division for Health Services at the Norwegian Institute of Public Health (NIPH) ran a project on machine learning (ML) related ... -
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 ... -
Implementation of machine learning in evidence syntheses in the Cluster for Reviews and Health Technology Assessments: Final report 2020-2021
(Research report, 2021)Key Messages: Machine learning (ML) has the potential to increase the efficiency of evidence syntheses. During 2020- 2021, a team in the division for Health Services at the Norwegian Institute of Public Health, tested and ... -
Implementering av maskinlæring i kunnskapsoppsummeringer i klynge for vurdering av tiltak: Sluttrapport 2021-2022
(Research report, 2023)Hovedbudskap Maskinlæring (ML) er et satsingsområde for klynge for vurdering av tiltak, Område for helsetjenester, FHI. Høsten 2021 overtok ML 2.0 arbeidet etter ML 1.0. Denne rapporten beskriver ML 2.0 teamet sitt arbeid, ... -
Strategy proposal for further implementation of machine learning in the Cluster of Reviews and Health Technology Assessments
(Research report, 2023)Hovedbudskap Klynge for vurdering av tiltak (HTV) har siden 2020 jobbet med å innføre maskinlæring (ML) i utarbeidelsen av kunnskapsoppsummeringer og metodevurderinger. Behovet og ønsket var effektivisering av slike ...