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Predicting in-hospital death from derived EHR trajectory features
(Chapter, 2023)Medical histories of patients can provide insight into the immediate future of a patient. While most studies propose to predict survival from vital signs and hospital tests within one episode of care, we carry out selective ... -
Predicting interest rate distributions using PCA & quantile regression
(Peer reviewed; Journal article, 2022)Principal component analysis (PCA) is well established as a powerful statistical technique in the realm of yield curve modeling. PCA based term structure models typically provide accurate fit to observed yields and explain ... -
Predicting ionic liquid melting points using machine learning
(Journal article; Peer reviewed, 2018)The melting point (Tm) of an ionic liquid (IL) is of crucial importance in many applications. The Tm can vary considerably depending on the choice of the anion and cation. This study explores the use of various machine ... -
Predicting learners' effortful behaviour in adaptive assessment using multimodal data
(Chapter, 2020)Many factors influence learners' performance on an activity beyond the knowledge required. Learners' on-task effort has been acknowledged for strongly relating to their educational outcomes, reflecting how actively they ... -
Predicting likelihood of legitimate data loss in email DLP
(Journal article; Peer reviewed, 2019)The point of departure is the Swedish rebellion against the regime of King John (Hans) in 1501. Sten Sture the Elder was the rebellion’s most prominent leader. The article moves from a discussion of Sten’s character and ... -
Predicting mechanical properties of CO2 hydrates: machine learning insights from molecular dynamics simulations
(Peer reviewed; Journal article, 2023)Understanding the mechanical properties of CO2 hydrate is crucial for its diverse sustainable applications such as CO2 geostorage and natural gas hydrate mining. In this work, classic molecular dynamics (MD) simulations ... -
Predicting Mechanical Response of Crosslinked Epoxy using ReaxFF
(Journal article; Peer reviewed, 2014)The development of improved epoxy resins can be greatly facilitated using molecular dynamics (MD) techniques. Because molecular-level failure events can play a significant role in epoxy mechanical behavior, the reactive ... -
Predicting missing marker trajectories in human motion data using marker intercorrelations
(Journal article; Peer reviewed, 2016)Missing information in motion capture data caused by occlusion or detachment of markers is a common problem that is difficult to avoid entirely. The aim of this study was to develop and test an algorithm for reconstruction ... -
Predicting missing pairwise preferences from similarity features in group decision making
(Peer reviewed; Journal article, 2022)In group decision-making (GDM), fuzzy preference relations (FPRs) refer to pairwise preferences in the form of a matrix. Within the field of GDM, the problem of estimating missing values is of utmost importance, since many ... -
Predicting Motion Patterns Using Optimal Paths
(Journal article; Peer reviewed, 2021) -
Predicting multi-axial diffusion of water in laminated composite structural components
(Journal article, 2021)This study examines the diffusion of water in fiber-reinforced polymer (FRP) laminated composites, comprising epoxy resin and unidirectional glass fibers, at different material and structural scales. Experiments on the ... -
Predicting outcomes in heritage grammars
(Journal article; Peer reviewed, 2019) -
Predicting oxygen levels in Atlantic salmon (Salmo salar) sea cages
(Peer reviewed; Journal article, 2022)Dissolved oxygen (DO) concentration is an important factor affecting fish welfare and growth in Atlantic salmon sea cages. As an operational prediction tool, and to aid our understanding of how DO concentrations are affected ... -
Predicting Pigment Color Degradation with Time Series Models
(Chapter, 2022)The colors of pigments and dyes are affected by light exposure. Light-induced color change has an impact on various industrial and artistic applications where colored materials are frequently exposed to light throughout ... -
Predicting Regions of Local Recurrence in Glioblastomas Using Voxel-Based Radiomic Features of Multiparametric Postoperative MRI
(Peer reviewed; Journal article, 2023)The globally accepted surgical strategy in glioblastomas is removing the enhancing tumor. However, the peritumoral region harbors infiltration areas responsible for future tumor recurrence. This study aimed to evaluate a ... -
Predicting Relapse in Substance Use: Prospective Modeling Based on Intensive Longitudinal Data on Mental Health, Cognition, and Craving
(Peer reviewed; Journal article, 2022)Patients with severe substance use disorders are often characterized by neurocognitive impairments and elevated mental health symptom load, typically associated with craving intensity and substance use relapse. There is a ... -
Predicting Resistivity and Permeability of Porous Media Using Minkowski Functionals
(Journal article; Peer reviewed, 2019)Permeability and formation factor are important properties of a porous medium that only depend on pore space geometry, and it has been proposed that these transport properties may be predicted in terms of a set of geometric ... -
Predicting secondary surgery after operative fixation of olecranon fractures: a model using data from 800 patients
(Peer reviewed; Journal article, 2021)Background: High rates of secondary surgery after fixation of olecranon fractures have been reported. Identification of risk factors can aid surgeons to reduce complications leading to additional surgical procedures. ... -
Predicting ship speeds in the Arctic using deep learning on historical AIS data
(Chapter, 2020)This study offers a perspective of applying fully connected neural networks (NN) to predict vessels’ speeds on a part of the Northern Sea Route and discusses its challenges. A fully connected neural network model was used ... -
Predicting Silica Deposition from Superheated, Pressurized Steam Using Numerical Modeling of Nucleation, Agglomeration and Deposition
(Peer reviewed; Journal article, 2023)A model that can be used to quantify silica deposition from superheated depressurized steam is developed. Classical nucleation theory, agglomeration and deposition onto a wall are combined in a numerical model that calculates ...