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Predicting model parameters of a spiking neuron network through its local field potential by using deep learning
(Master thesis, 2018)Electrophysiological measurements provide a relatively easy method of probing the brain at the scale of networks. One example of such measurements is the extracellu- lar potential that can be obtained by inserting ... -
Predicting patient outcome using radioclinical features selected with RENT for patients with colorectal cancer
(Master thesis, 2022)Colorectal cancer remains a problem in medicine, costing countless lives each year. The growing amount of data available about these patients have piqued the interest of researchers, as they try to use machine learning to ... -
Predicting quantitative traits from genome and phenome with near perfect accuracy.
(Journal article; Peer reviewed, 2016)In spite of decades of linkage and association studies and its potential impact on human health, reliable prediction of an individual's risk for heritable disease remains difficult. Large numbers of mapped loci do not ... -
Predicting Stock Market Trends Using Machine Learning and Deep Learning Algorithms Via Continuous and Binary Data; a Comparative Analysis
(Peer reviewed; Journal article, 2020) -
Predicting survival and longevity of sows using purebred and crossbred data
(Journal article, 2020)Survival and longevity are very important traits in pig breeding. From an economic standpoint, it is favorable to keep the sows for another parity instead of replacing them and, from the animal’s perspective, better welfare ... -
Predicting the Extent of Root and Butt rot in Stems of Norway Spruce (Picea abies)
(Master thesis, 2020)Commercially, Norway spruce (Picea abies (L.) Karst) is the most important tree species in Norway, representing 72% of the industrial timber volume sold in 2019. However, Norway spruce is particularly prone to infection ... -
Predicting the spatial abundance of Ixodes ricinus ticks in southern Scandinavia using environmental and climatic data
(Peer reviewed; Journal article, 2019)Recently, focus on tick-borne diseases has increased as ticks and their pathogens have become widespread and represent a health problem in Europe. Understanding the epidemiology of tickborne infections requires the ability ... -
Predicting treatment outcome of colorectal cancer from MRI images using machine learning
(Master thesis, 2021)In this thesis different machine learning algorithms have been utilised to predict treatment outcome for patients with colorectal cancer. The predicted treatment endpoint was overall survival. The patient cohort included ... -
Prediction accuracy of direct and indirect approaches, and their relationships with prediction ability of calibration models
(Journal article; Peer reviewed, 2018) -
Prediction of available phosphorus in soil: Combined use for crop production and water quality protection
(Peer reviewed; Journal article, 2020)Optimizing phosphorus (P) application to agricultural soils is fundamental to crop production and water quality protection. We sought to relate soil P tests and P sorption characteristics to both crop yield response to P ... -
Prediction of biodiversity hotspots in the Anthropocene: The case of veteran oaks
(Journal article; Peer reviewed, 2017)Over the past centuries, humans have transformed large parts of the biosphere, and there is a growing need to understand and predict the distribution of biodiversity hotspots influenced by the presence of humans. Our basic ... -
Prediction of chemical and sensory properties in strawberries using Raman spectroscopy
(Peer reviewed; Journal article, 2023) -
Prediction of deoxynivalenol toxicokinetics in humans by in vitro-to-in vivo extrapolation and allometric scaling of in vivo animal data
(Journal article; Peer reviewed, 2018) -
Prediction of enteric methane emissions by sheep using an intercontinental database
(Peer reviewed; Journal article, 2023) -
Prediction of enteric methane production, yield, and intensity in dairy cattle using an intercontinental database
(Journal article; Peer reviewed, 2018) -
Prediction of genomic breeding values based on pre-selected SNPs using ssGBLUP, WssGBLUP and BayesB for Edwardsiellosis resistance in Japanese flounder
(Peer reviewed; Journal article, 2020)Background: Edwardsiella tarda causes acute symptoms with ascites in Japanese founder (Paralichthys olivaceus) and is a major problem for China’s aquaculture sector. Genomic selection (GS) has been widely adopted in breeding ... -
Prediction of high fecal propionate-to-butyrate ratios using 16S rRNA-based detection of bacterial groups with liquid array diagnostics
(Peer reviewed; Journal article, 2023) -
Prediction of Melting Temperature of Organic Molecules using Machine Learning
(Master thesis, 2023)Accurate prediction of the melting point of oral drugs is crucial for understanding their chemical properties. Early identification of these properties aids in the screening of potential drugs, thereby saving resources in ... -
Prediction of nitrogen excretion from data on dairy cows fed a wide range of diets compiled in an intercontinental database: a meta-analysis
(Journal article; Peer reviewed, 2022) -
Prediction of nitrogen purification in wastewater with Machine learning
(Master thesis, 2023)Wastewater treatment plants are necessary for avoiding environmental pollution by humans. Last year the European Commission proposed a new directive with stricter requirements for wastewater treatment plants. To meet the ...