AIMC Topic: Finland

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Machine learning identifies interacting genetic variants contributing to breast cancer risk: A case study in Finnish cases and controls.

Scientific reports Sep 3, 2018
We propose an effective machine learning approach to identify group of interacting single nucleotide polymorphisms (SNPs), which contribute most to the breast cancer (BC) risk by assuming dependencies among BCAC iCOGS SNPs. We adopt a gradient tree b...
Base Sequence Genome, Human Risk Ubiquitin-Protein Ligases Genetic Predisposition to Disease Polymorphism, Single Nucleotide Gene Expression Regulation, Neoplastic Support Vector Machine Finland Protein Interaction Mapping Estrogen Receptor alpha Humans Prognosis Female Breast Neoplasms Case-Control Studies Genome-Wide Association Study Gene Regulatory Networks
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Attitudes towards care robots among Finnish home care personnel - a comparison of two approaches.

Scandinavian journal of caring sciences Aug 22, 2017
STUDY'S RATIONALE: The significance of care robotics has been highlighted in recent years.
Adult Cross-Sectional Studies Male Middle Aged Robotics Finland Attitude to Computers Surveys and Questionnaires Attitude of Health Personnel Home Health Aides Humans Female
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Perspectives on Speech Timing: Coupled Oscillator Modeling of Polish and Finnish.

Phonetica Feb 23, 2017
This stud y was ai med at analyzing empirical duration data for Polish spoken at different tempos using an updated version of the Coupled Oscillator Model of speech timing and rhythm variability (O'Dell and Nieminen, 1999, 2009). We use Bayesian infe...
Sampling Studies Reaction Time Humans Speech Acoustics Speech Perception Language Finland Poland Phonetics Bayes Theorem
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Radiomic features for prostate cancer detection on MRI differ between the transition and peripheral zones: Preliminary findings from a multi-institutional study.

Journal of magnetic resonance imaging : JMRI Dec 19, 2016
PURPOSE: To evaluate in a multi-institutional study whether radiomic features useful for prostate cancer (PCa) detection from 3 Tesla (T) multi-parametric MRI (mpMRI) in the transition zone (TZ) differ from those in the peripheral zone (PZ).
Finland New York City Observer Variation Internationality Pattern Recognition, Automated Image Enhancement Humans Machine Learning Reproducibility of Results Aged Pilot Projects Adult Australia Magnetic Resonance Imaging Sensitivity and Specificity Prostatic Neoplasms Male Image Interpretation, Computer-Assisted Middle Aged
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The urban physical environment and leisure-time physical activity in early midlife: a FinnTwin12 study.

Health & place Jul 1, 2025
Under the exposome framework, this study examined the relationship between the urban physical environment and leisure-time physical activity during early midlife based on 394 participants (mean age: 37, range 34-40) from the FinnTwin12 cohort, residi...
Humans Female Cohort Studies Cities Urban Population Adult Finland Male Transportation Exercise Leisure Activities
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Total radius BMD correlates with the hip and lumbar spine BMD among post-menopausal patients with fragility wrist fracture in a machine learning model.

Archives of osteoporosis May 14, 2025
UNLABELLED: Osteoporosis screening should be systematic in the group of over 50-year-old females with a radius fracture. We tested a phantom combined with machine learning model and studied osteoporosis-related variables. This machine learning model ...
Tomography, X-Ray Mass Screening Lumbar Vertebrae Osteoporosis Wrist Fractures Postmenopause Radius Fractures Female Bone Diseases, Metabolic Finland Phantoms, Imaging Aged Humans Absorptiometry, Photon Osteoporosis, Postmenopausal Hip Middle Aged Machine Learning Radius Osteoporotic Fractures Bone Density Wrist Injuries
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Forecasting Subjective Cognitive Decline: AI Approach Using Dynamic Bayesian Networks.

Journal of medical Internet research May 6, 2025
BACKGROUND: Several potentially modifiable risk factors are associated with subjective cognitive decline (SCD). However, developmental patterns of these risk factors have not been used before to forecast later SCD. Practical tools for the prevention ...
Middle Aged Cognitive Dysfunction Bayes Theorem Finland Humans Female Artificial Intelligence Risk Factors Adult Male
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Supporting the use of standardized nursing terminologies with automatic subject heading prediction: a comparison of sentence-level text classification methods.

Journal of the American Medical Informatics Association : JAMIA Jan 1, 2020
OBJECTIVE: This study focuses on the task of automatically assigning standardized (topical) subject headings to free-text sentences in clinical nursing notes. The underlying motivation is to support nurses when they document patient care by developin...
Natural Language Processing Subject Headings Abstracting and Indexing Finland Nursing Records Electronic Health Records Standardized Nursing Terminology
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The adoption of care robots in home care-A survey on the attitudes of Finnish home care personnel.

Journal of clinical nursing May 1, 2018
AIMS AND OBJECTIVES: This article examines the attitudes of Finnish home care registered nurses, licensed vocational nurses and other health and social care personnel towards the introduction and use of care robots in home care.
Home Care Services Attitude of Health Personnel Robotics Factor Analysis, Statistical Finland Aged Humans Cross-Sectional Studies Female Male Surveys and Questionnaires
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Prediction of persistent post-surgery pain by preoperative cold pain sensitivity: biomarker development with machine-learning-derived analysis.

British journal of anaesthesia Oct 1, 2017
BACKGROUND: To prevent persistent post-surgery pain, early identification of patients at high risk is a clinical need. Supervised machine-learning techniques were used to test how accurately the patients' performance in a preoperatively performed ton...
Predictive Value of Tests Pain, Postoperative Pain Supervised Machine Learning Reproducibility of Results Humans Risk Factors Finland Sensitivity and Specificity Biomarkers Cold Temperature Breast Neoplasms Female Preoperative Care
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