AIMC Topic: Norway
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Maximizing citizen scientists' contribution to automated species recognition.
Scientific reports
May 10, 2022
Technological advances and data availability have enabled artificial intelligence-driven tools that can increasingly successfully assist in identifying species from images. Especially within citizen science, an emerging source of information filling ...
Gastrointestinal Tract Disease Classification from Wireless Endoscopy Images Using Pretrained Deep Learning Model.
Computational and mathematical methods in medicine
Sep 11, 2021
Wireless capsule endoscopy is a noninvasive wireless imaging technology that becomes increasingly popular in recent years. One of the major drawbacks of this technology is that it generates a large number of photos that must be analyzed by medical pe...
Towards sustainable demersal fisheries: NepCon image acquisition system for automatic Nephrops norvegicus detection.
PloS one
Jun 16, 2021
Underwater video monitoring systems are being widely used in fisheries to investigate fish behavior in relation to fishing gear and fishing gear performance during fishing. Such systems can be useful to evaluate the catch composition as well. In deme...
Evaluation of incomplete maternal smoking data using machine learning algorithms: a study from the Medical Birth Registry of Norway.
BMC pregnancy and childbirth
Nov 23, 2020
BACKGROUND: The Medical Birth Registry of Norway (MBRN) provides national coverage of all births. While retrieval of most of the information in the birth records is mandatory, mothers may refrain to provide information on her smoking status. The prop...
Ontology and values anchor indigenous and grey nomenclatures: a case study in lichen naming practices among the SamÃ, Sherpa, Scots, and Okanagan.
Studies in history and philosophy of biological and biomedical sciences
Sep 10, 2020
Ethnobotanical research provides ample justification for comparing diverse biological nomenclatures and exploring ways that retain alternative naming practices. However, how (and whether) comparison of nomenclatures is possible remains a subject of d...
Unsupervised Clustering of Missense Variants in HNF1A Using Multidimensional Functional Data Aids Clinical Interpretation.
American journal of human genetics
Sep 9, 2020
Exome sequencing in diabetes presents a diagnostic challenge because depending on frequency, functional impact, and genomic and environmental contexts, HNF1A variants can cause maturity-onset diabetes of the young (MODY), increase type 2 diabetes ris...
Exome Sequencing
Mutation, Missense
Unsupervised Machine Learning
Principal Component Analysis
Gene Expression
Registries
Alleles
Datasets as Topic
United Kingdom
Norway
Diabetes Mellitus, Type 2
Genetic Predisposition to Disease
Cluster Analysis
Hepatocyte Nuclear Factor 1-alpha
Male
Adolescent
Child
Humans
Phenotype
Female
Young Adult
Adult
Patterns and correlates of physical activity in adult Norwegians: a forecasted evolution up to 2025 based on machine learning approach.
BMC public health
Jul 25, 2018
BACKGROUND: As other westerns countries, a large portion of Norwegians do not meet the minimum recommendations for weekly physical activity (PA). One of the primary targets of the WHO's Global action plan for the prevention and control of noncommunic...
Webcrawling and machine learning as a new approach for the spatial distribution of atmospheric emissions.
PloS one
Jul 16, 2018
In this study we apply two methods for data collection that are relatively new in the field of atmospheric science. The two developed methods are designed to collect essential geo-localized information to be used as input data for a high resolution e...
Impact of subclinical mastitis on greenhouse gas emissions intensity and profitability of dairy cows in Norway.
Preventive veterinary medicine
Nov 27, 2017
Impaired animal health causes both productivity and profitability losses on dairy farms, resulting in inefficient use of inputs and increase in greenhouse gas (GHG) emissions produced per unit of product (i.e. emissions intensity). Here, we used subc...
Maternal serum concentrations of perfluoroalkyl acids in five international birth cohorts.
International journal of hygiene and environmental health
Dec 23, 2016
BACKGROUND: Perfluoroalkyl acids (PFAAs) are persistent and bioaccumulating compounds, which are spread all over the globe. We aimed to compare the PFAA concentrations in serum from pregnant women in five birth cohorts from four countries (Denmark, C...
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