Search results for "data"
showing 10 items of 12992 documents
Validation of Knee KL-classifying Deep Neural Network with Finnish Patient Data
2021
Osteoarthritis (OA) is the most common form of joint disease in the world. The diagnosis of OA is currently made by human experts and suffers from subjectivity, but recently new promising detection algorithms have been developed. We validated the current state-of-the-art KL-classifying neural network model for knee OA using knee X-rays taken from postmenopausal women suffering from knee pain attributable to OA. The performance of the model on the clinical data was considerably lower compared to the previous results on population-based test data. This suggests that the performance of the current grading methods is not yet adequate to be applied in clinical settings. The present results also …
Bibliometric analysis of core journals which publish articles of physical therapy on aging.
2020
Objective Increase in population's longevity has led to considerable efforts worldwide on physical therapy aging research. The aim of this study is to identify which are the main scientific journals, as well as the most productive authors, institutions and keywords related to the journals, that have published about physical therapy and aging. Methods Original articles published from 1990 to 2014 were retrieved from the bibliographic database Science Citation Index Expanded of Web of Science Core Collection. After standardization of the bibliographic information, a series of bibliometric indicators was obtained regarding authors, institutions, citation and keywords of the core journals using…
Specific mutations of the RET proto-oncogene are related to disease phenotype in MEN 2A and FMTC.
1994
We have analysed 118 families with inherited medullary thyroid carcinoma (MTC) for mutations of the RET proto-oncogene. These included cases of multiple endocrine neoplasia types 2A (MEN 2A) and 2B (MEN 2B) and familial MTC (FMTC). Mutations at one of 5 cysteines in the extracellular domain were found in 97% of patients with MEN 2A and 86% with FMTC but not in MEN 2B patients or normal controls. 84% of the MEN2A mutations affected codon 634. MEN 2A patients with a Cys634 to Arg substitution had a greater risk of developing parathyroid disease than those with other codon 634 mutations. Our data show a strong correlation between disease phenotype and the nature and position of the RET mutatio…
Treatment of patients with essential hypertension and microalbuminuria.
1998
There has been increasing interest in the question of whether microalbuminuria can be used in the risk stratification of patients with essential hypertension. A cluster of cardiovascular and/or renal risk factors may be associated with microalbuminuria in hypertension. Despite this, prospective data about the potential role of microalbuminuria as a prognostic marker of cardiovascular and/or renal risk have been sparse and inconclusive until now. Blood pressure values have been considered the most important determinant of microalbuminuria in essential hypertension; however, hyperinsulinaemia--a metabolic component-was noted to be present in conjunction with high blood pressure. Furthermore, …
COVID-19 Infection Process in Italy and Spain: Are Data Talking? Evidence From ARMA and Vector Autoregression Models
2020
COVID-19 (coronavirus disease 2019) has spread successfully worldwide in a matter of weeks. After the example of China, all the affected countries are taking hard-confinement measures to control the infection and to gain some time to reduce the significant amount of cases that arrive at the hospital. Although the measures in China reduced the percentages of new cases, this is not seen in other countries that have taken similar measures, such as Italy and Spain. After the first weeks, the worry was whether or not the healthcare system would collapse rather than its response to the patient's needs who are infected and require hospitalization. Using China as a mirror of what could happen in ou…
Tree Species Identification Using 3D Spectral Data and 3D Convolutional Neural Network
2018
In this study we apply 3D convolutional neural network (CNN) for tree species identification. Study includes the three most common Finnish tree species. Study uses a relatively large high-resolution spectral data set, which contains also a digital surface model for the trees. Data has been gathered using an unmanned aerial vehicle, a framing hyperspectral imager and a regular RGB camera. Achieved classification results are promising by with overall accuracy of 96.2 % for the classification of the validation data set. nonPeerReviewed
Nutritional self-care among a group of older home-living people in rural Southern Norway
2015
Bjørg Dale, Ulrika SöderhamnCentre for Caring Research – Southern Norway, Faculty of Health and Sport Sciences, University of Agder, Grimstad, NorwayBackground: Older home-living people are an at-risk group for undernutrition, particularly those who are living alone. Lack of knowledge about healthy dietary habits, altered taste sensation, and declined health status are shown to be some of the factors related to undernutrition. The aims of this study were to explore how a small group of older people in Southern Norway perceived their nutritional self-care.Methods: An exploratory qualitative approach, combined with a simple self-report questionnaire, was used. Fi…
Recognition of rapid-eye-movement sleep from single-channel EEG data by artificial neural networks: a study in depressive patients with and without a…
1996
An automatic procedure for the online recognition of REM sleep appears to be a necessary tool for selective REM sleep deprivation in depressive patients. To develop such a procedure we applied an artificial neural network to preprocessed single-channel EEG activity. EOG and EMG information was purposely not provided as input to the network. A generalized back-propagation algorithm was used for computer simulation. The sleep profile scored manually according to Rechtschaffen and Kales served as the desired output during the training period and as standard for the judgement of the network output during working mode. Polysomnographic recordings from 5 healthy subjects were pooled to train the …
The association between quality of care and technical efficiency in long-term care
2005
To analyse the association between quality of care and technical (productive) efficiency in institutional long-term care wards for the elderly.One hundred and fourteen public health centre hospitals and residential homes in Finland.Wards were divided into two categories according to their rank in the quality distribution, considering 41 quality variables separately. The technical efficiency scores of the good- and poor-quality groups were compared using cross-sectional data.Data envelopment analysis was used for calculating technical efficiency. The Mann-Whitney test and correlation coefficients were used to explore the association between quality and efficiency.The wards where quality indi…
Evaluating the statistical methodology of randomized trials on dentin hypersensitivity management
2017
The present study aimed to evaluate the characteristics and quality of statistical methodology used in clinical studies on dentin hypersensitivity management. An electronic search was performed for data published from 2009 to 2014 by using PubMed, Ovid/MEDLINE, and Cochrane Library databases. The primary search terms were used in combination. Eligibility criteria included randomized clinical trials that evaluated the efficacy of desensitizing agents in terms of reducing dentin hypersensitivity. A total of 40 studies were considered eligible for assessment of quality statistical methodology. The four main concerns identified were i) use of nonparametric tests in the presence of large samples…