AIMC Topic: Finland
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Using graph machine learning to identify functioning in patients with low back pain in terms of ICF.
Scientific reports
Jul 2, 2025
As a comprehensive perspective on functioning is useful in patient assessments, the WHO developed the International Classification of Functioning, Disability, and Health (ICF) to provide a standardized terminology and framework for describing and cla...
Trust and Acceptance Challenges in the Adoption of AI Applications in Health Care: Quantitative Survey Analysis.
Journal of medical Internet research
Mar 21, 2025
BACKGROUND: Artificial intelligence (AI) has potential to transform health care, but its successful implementation depends on the trust and acceptance of consumers and patients. Understanding the factors that influence attitudes toward AI is crucial ...
Factors associated with the development of severe asthma: A nationwide study (FINASTHMA).
Annals of allergy, asthma & immunology : official publication of the American College of Allergy, Asthma, & Immunology
Mar 9, 2025
BACKGROUND: Severe asthma presents a major challenge to health care and negatively affects the quality of life of patients. Understanding the factors predicting the development of severe asthma is limited.
Efficacy and effectiveness of therapist-guided internet versus face-to-face cognitive behavioural therapy for depression via counterfactual inference using naturalistic registers and machine learning in Finland: a retrospective cohort study.
The lancet. Psychiatry
Feb 12, 2025
BACKGROUND: According to meta-analyses of randomised controlled trials (RCTs), therapist-guided internet-delivered cognitive behavioural therapy (iCBT) is as effective a treatment for depression as traditional face-to-face CBT (fCBT), despite its sub...
CODE-ACCORD: A Corpus of building regulatory data for rule generation towards automatic compliance checking.
Scientific data
Jan 29, 2025
Automatic Compliance Checking (ACC) within the Architecture, Engineering, and Construction (AEC) sector necessitates automating the interpretation of building regulations to achieve its full potential. Converting textual rules into machine-readable f...
Machine learning-based automated waste sorting in the construction industry: A comparative competitiveness case study.
Waste management (New York, N.Y.)
Jan 8, 2025
This article presents a comparative analysis of the circularity and cost-efficiency of two distinct construction material recycling processes: ML-based automated sorting (MLAS) and conventional sorting technologies. Empirical data was collected from ...
Artificial intelligence aided serum protein electrophoresis analysis of Finnish patient samples: Retrospective validation.
Clinica chimica acta; international journal of clinical chemistry
Dec 9, 2024
BACKGROUND AND AIMS: Serum protein electrophoresis interpretation requires a substantial amount of manual work. In 2020, Chabrun et al. created a machine learning method called SPECTR for the task. We aimed to validate and test the SPECTR method agai...
A comparative study to elucidate factors explaining willingness to use home-care robots in Japan, Ireland, and Finland.
Scientific reports
Nov 12, 2024
The implementation of home-care robots is sometimes unsuccessful. This study aimed to explore factors explaining people's willingness to use home-care robots, particularly among care recipients and caregivers. Surveys were conducted in Japan, Ireland...
A deep learning approach to prediction of blood group antigens from genomic data.
Transfusion
Sep 13, 2024
BACKGROUND: Deep learning methods are revolutionizing natural science. In this study, we aim to apply such techniques to develop blood type prediction models based on cheap to analyze and easily scalable screening array genotyping platforms.
Predictive modeling for identification of older adults with high utilization of health and social services.
Scandinavian journal of primary health care
Jul 3, 2024
AIM: Machine learning techniques have demonstrated success in predictive modeling across various clinical cases. However, few studies have considered predicting the use of multisectoral health and social services among older adults. This research aim...
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