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Active Learning and Visual Analytics for Stance Classification with ALVA

The automatic detection and classification of stance (e.g., certainty or agreement) in text data using natural language processing and machine learning methods create an opportunity to gain insight into the speakers' attitudes towards their own and other people's utterances. However, identifying stance in text presents many challenges related to training data collection and classifier training. In

Psychometric testing of a Swedish version of the Apathy Evaluation Scale

Background: Apathy, a prevalent and clinically relevant symptom in neurodegenerative disease, is often evaluated by the instrument Apathy Evaluation Scale (AES). However, this instrument has not been translated into Swedish, halting clinical and research efforts. Furthermore, previous studies lack analyses of some basic properties, such as the legitimacy of a total score, or have analysed dimensio

Friedreich's ataxia in patients with FXN p.R165P point mutation

Introduction: Friedreich's ataxia (FRDA) is a hereditary disorder with progressive postural ataxia, dysarthria, neuropathy, muscle weakness and cardiomyopathy. Lack or malfunction of the protein frataxin due to mutations in the frataxin gene (FXN) is the cause of the disease. Most patients are homozygous for GAA trinucleotide expansions in FXN but disease can also be caused by heterozygosity for t

Spatially Coupled Hybrid Concatenated Codes

The main purpose of this paper is to make the study of spatially coupled turbo-like codes (SC-TCs) more complete by investigating the impact of spatial coupling on the thresholds of hybrid concatenated codes (HCCs). In our previous studies, we introduced some classes of SC-TCs and considered their density evolution (DE) analysis. The obtained results indicated that for a fixed coupling memory, bra

Applications of Machine Learning on Natural Language Processing and Biomedical Data

Machine learning is ubiquitous in today’s society, with promising applicationsin the field of natural language processing (NLP), so that computers can handlehuman language better, and within the medical community, with the promiseof better treatments. Machine learning can be seen as a subfield of artificialintelligence (AI), where AI is used to describe a machine that mimics cognitivefunctions tha

Contribution of Established Stroke Risk Factors to the Burden of Stroke in Young Adults

Background and Purpose - As stroke in young adults is assumed to have different etiologies and risk factors than in older populations, the aim of this study was to examine the contribution of established potentially modifiable cardiovascular risk factors to the burden of stroke in young adults. Methods - A German nationwide case-control study based on patients enrolled in the SIFAP1 study (Stroke

Temporal biomarker profiling reveals longitudinal changes in risk of death or myocardial infarction in Non-ST-segment elevation acute coronary syndrome

BACKGROUND: There are conflicting data on whether changes in N-terminal pro-B-type natriuretic peptide (NT-proBNP) and high-sensitivity C-reactive protein (hs-CRP) concentrations between time points (delta NT-proBNP and hs-CRP) are associated with a change in prognosis. METHODS: We measured NT-proBNP and hs-CRP at 3 time points in 1665 patients with non-ST-segment elevation acute coronary syndrome

Predicting the Outcome for Patients in a Heart Transplantation Queue using Deep Learning

Heart transplantations have made it possible to extend the median survival time to 12 years for patients with end-stage heart diseases. This operation is unfortunately limited by the availability of donor organs and patients have to wait on average about 200 days in a waiting list before being operated. This waiting time varies considerably across the patients. In this paper, we studied the outcom

Treatment outcome in early diffuse cutaneous systemic sclerosis : The European Scleroderma Observational Study (ESOS)

Objectives: The rarity of early diffuse cutaneous systemic sclerosis (dcSSc) makes randomised controlled trials very difficult. We aimed to use an observational approach to compare effectiveness of currently used treatment approaches. Methods: This was a prospective, observational cohort study of early dcSSc (within three years of onset of skin thickening). Clinicians selected one of four protocol

The Terms of Ethnoracial Equality : The Swedish Courts' Reading of Ethnic Affiliation, Race and Culture

This article initially accounts for the discussions concerning the notions ‘ethnic origin’ and ‘race’ that have taken place in the Swedish legislative context and places these within a wider European context. Next follows a mapping of the ways in which Swedish courts, in cases of alleged ethnic discrimination, read the notion of ‘ethnic affiliation’ – defined as ‘national or ethnic origin, skin co

Juridik som politik och om behovet av kritik

Texten belyser genom några nedslag i den författningspolitiska utvecklingen hur politiken förskjutits mot juridik och förrätts­ligats i Sverige under de senaste decennierna – något som fram­för allt är en följd av att svensk rätt underställts en transnation­ell konstitution som höjer marknadsaktörers rättigheter samt mänskliga rättigheter över de politiska instansernas besluts­bef