نتایج جستجو برای: statistical databases
تعداد نتایج: 471272 فیلتر نتایج به سال:
With the recent advances in genetic and computer technology, enormous databases containing genetic information have become available for research and other purposes. An example of such databases is the Icelandic Health Database containing health and genetic records about the total population of Iceland. This has raised many privacy and ethical questions, both among health professionals and the ...
Existing systems for automatic genre classification follows a supervised framework that extracts genre-specific information from manually-labeled music data and then identifies unknown music data. However, such systems may not be suitable for personal music management, because manually labeling music based on individually-defined genres can be labor intensive and subject to inconsistence from t...
BACKGROUND There are no reliable estimates of the prevalences of autism and autism spectrum disorders (ASD) in China. OBJECTIVE Combine results across studies to estimate the prevalences of autism and ASD among Chinese children under the age of 18, and assess variations in the prevalences with respect to gender, ethnicity, and urban versus rural residence. METHODS Based on pre-defined inclu...
The vast majority of clustering algorithms and approaches deal with sets of objects, where objects are points in the multidimensional Euclidean space, each occupying zero hyper volume. There is a wealth of application domains that produce data sets in which the objects occupy hyperspace. Such application domains include spatiotemporal databases, medical applications etc. It is clear that cluste...
Dear Editor, The importance of micronutrient fortification in countries with limited resources and prevalence of malnutrition cannot be overemphasized. We read with great interest your recent systematic review and meta-analysis [1] published in the February 2016 edition of Nutrients. We congratulate the authors for their intent of using two techniques to review the same 14 journal articles. How...
Collaboration among scholars and institutions is progressively becoming essential to the success of research grant procurement and to allow the emergence and evolution of scientific disciplines. Our work focuses on analysing if the volume of collaborations of one author together with the relevance of his collaborators is somewhat related to his research performance over time. In order to prove ...
Spatial Data mining is one of the challenging field in data mining. The explosive development of spatial data and common use of spatial databases highlight the need for the automated detection of spatial knowledge. Computing data mining algorithms such as clustering on massive spatial data sets is still not feasible nor efficient today. In this research first we 1 / 4
OBJECTIVES Enterobius vermicularis is a parasitic disease that is common in crowded areas such as schools and kindergartens. Primary investigations of electronic evidence have reported different prevalences of E. vermicularis in Iran. Therefore, we aimed to estimate the total prevalence of this infection among Iranian children using a meta-analysis. METHODS Relevant studies were identified in...
Clustering is an important descriptive model in data mining. It groups the data objects into meaningful classes or clusters such that the objects are similar to one another within the same cluster and are dissimilar to other clusters. Spatial clustering is one of the significant techniques in spatial data mining, to discover patterns from large spatial databases. In recent years, several basic ...
BACKGROUND The National Trauma Data Bank (NTDB) is plagued by the problem of missing physiological data. The Glasgow Coma Scale score, Respiratory Rate and Systolic Blood Pressure are an essential part of risk adjustment strategies for trauma system evaluation and clinical research. Missing data on these variables may compromise the feasibility and the validity of trauma group comparisons. AI...
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