AIMC Topic: Finland
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Impacts of a Care Robotics Project on Finnish Home Care Workers' Attitudes towards Robots.
International journal of environmental research and public health
Sep 30, 2020
Technological advances in elderly care have been rapid, and the introduction of robots in care will be a topical issue in the near future. There has been little research into the possibility of influencing care workers' attitudes towards robots by pr...
Machine Learning-Based DNA Methylation Score for Fetal Exposure to Maternal Smoking: Development and Validation in Samples Collected from Adolescents and Adults.
Environmental health perspectives
Sep 15, 2020
BACKGROUND: Fetal exposure to maternal smoking during pregnancy is associated with the development of noncommunicable diseases in the offspring. Maternal smoking may induce such long-term effects through persistent changes in the DNA methylome, which...
New Machine Learning Approach for Detection of Injury Risk Factors in Young Team Sport Athletes.
International journal of sports medicine
Sep 13, 2020
The purpose of this article is to present how predictive machine learning methods can be utilized for detecting sport injury risk factors in a data-driven manner. The approach can be used for finding new hypotheses for risk factors and confirming the...
Machine-learned identification of psychological subgroups with relation to pain interference in patients after breast cancer treatments.
Breast (Edinburgh, Scotland)
Feb 7, 2020
BACKGROUND: Persistent pain in breast cancer survivors is common. Psychological and sleep-related factors modulate perception, interpretation and coping with pain and may contribute to the clinical phenotype. The present analysis pursued the hypothes...
Comparison of supervised machine learning classification techniques in prediction of locoregional recurrences in early oral tongue cancer.
International journal of medical informatics
Dec 28, 2019
BACKGROUND: The proper estimate of the risk of recurrences in early-stage oral tongue squamous cell carcinoma (OTSCC) is mandatory for individual treatment-decision making. However, this remains a challenge even for experienced multidisciplinary cent...
Supervised Machine Learning
Tongue Neoplasms
Chemoradiotherapy
Finland
Bayes Theorem
Mouth Neoplasms
Male
Neoplasm Recurrence, Local
Middle Aged
Combined Modality Therapy
Brazil
Adolescent
Incidence
Humans
Female
Cohort Studies
Algorithms
Aged
Child
Prognosis
Support Vector Machine
Aged, 80 and over
Decision Trees
Young Adult
Adult
Impacts of robot implementation on care personnel and clients in elderly-care institutions.
International journal of medical informatics
Dec 4, 2019
BACKGROUND: Digital technologies, including robots, are being increasingly used in elderly care. Their impact on users carries implications for successfully integrating technological innovations into care. This study aims to identify the impacts of c...
Machine learning of human plasma lipidomes for obesity estimation in a large population cohort.
PLoS biology
Oct 18, 2019
Obesity is associated with changes in the plasma lipids. Although simple lipid quantification is routinely used, plasma lipids are rarely investigated at the level of individual molecules. We aimed at predicting different measures of obesity based on...
How the input shapes the acquisition of verb morphology: Elicited production and computational modelling in two highly inflected languages.
Cognitive psychology
Feb 18, 2019
The aim of the present work was to develop a computational model of how children acquire inflectional morphology for marking person and number; one of the central challenges in language development. First, in order to establish which putative learnin...
Care Personnel's Attitudes and Fears Toward Care Robots in Elderly Care: A Comparison of Data from the Care Personnel in Finland and Japan.
Journal of nursing scholarship : an official publication of Sigma Theta Tau International Honor Society of Nursing
Oct 24, 2018
PURPOSE: The aim of the study was to analyze and compare elderly care personnel attitudes toward care robots in Finland and Japan.
Predicting hospital associated disability from imbalanced data using supervised learning.
Artificial intelligence in medicine
Oct 3, 2018
Hospitalization of elderly patients can lead to serious adverse effects on their functional capability. Identifying the underlying factors leading to such adverse effects is an active area of medical research. The purpose of the current paper is to s...
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