نتایج جستجو برای: statistical databases

تعداد نتایج: 471272  

2008
Helen Giggins Ljiljana Brankovic

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 ...

2010
WEI-HO TSAI

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...

2013
Yumei Wan Qiang Hu Ting Li Lijuan Jiang Yasong Du Lei Feng John Chee-Meng Wong Chunbo Li

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...

2005
Maria Halkidi Michalis Vazirgiannis

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...

2016
Olatokunbo Osibogun Adriana Campa Purnima Madhivanan

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...

2015
Sandra Servia-Rodríguez Anastasios Noulas Cecilia Mascolo Ana Fernández-Vilas Rebeca P. Díaz-Redondo

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 ...

2016
Laura A. Mather Shivakumar Vaithyanathan Byron Dom Ju-Won Song Kyu-Young Whang Young-Koo Lee Min-Jae Lee Wook-Shin Han Byung-Kwon Park Chaomei Chen Timothy Cribbin Robert Macredie Sonali Morar Jin-Tsong Hwang Hun-chin Chiang Paulo Gonçalves Hugo Carrão Andre Pinheiro Ravindra Babu

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

2017
Mahmood Moosazadeh Ghasem Abedi Mahdi Afshari Seif Ali Mahdavi Fereshteh Farshidi Elham Kheradmand

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...

2014
Nafees Ahmed T. Abdul Razak M. S Chen J. Han S. E Spielman Shashi Shekhar Pusheng Zhang Yan Huang Ranga Raju Vatsavai H. P. Kriegel Daniel A. Keim

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 ...

2009
Lynne Moore James A Hanley André Lavoie Alexis Turgeon

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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function paginate(evt) { url=/search_year_filter/ var term=document.getElementById("search_meta_data").dataset.term pg=parseInt(evt.target.text) var data={ "year":filter_year, "term":term, "pgn":pg } filtered_res=post_and_fetch(data,url) window.scrollTo(0,0); } function update_search_meta(search_meta) { meta_place=document.getElementById("search_meta_data") term=search_meta.term active_pgn=search_meta.pgn num_res=search_meta.num_res num_pages=search_meta.num_pages year=search_meta.year meta_place.dataset.term=term meta_place.dataset.page=active_pgn meta_place.dataset.num_res=num_res meta_place.dataset.num_pages=num_pages meta_place.dataset.year=year document.getElementById("num_result_place").innerHTML=num_res if (year !== "unfilter"){ document.getElementById("year_filter_label").style="display:inline;" document.getElementById("year_filter_place").innerHTML=year }else { document.getElementById("year_filter_label").style="display:none;" document.getElementById("year_filter_place").innerHTML="" } } function update_pagination() { search_meta_place=document.getElementById('search_meta_data') num_pages=search_meta_place.dataset.num_pages; active_pgn=parseInt(search_meta_place.dataset.page); document.getElementById("pgn-ul").innerHTML=""; pgn_html=""; for (i = 1; i <= num_pages; i++){ if (i===active_pgn){ actv="active" }else {actv=""} pgn_li="
  • " +i+ "
  • "; pgn_html+=pgn_li; } document.getElementById("pgn-ul").innerHTML=pgn_html var pgn_links = document.querySelectorAll('.mypgn'); pgn_links.forEach(function(pgn_link) { pgn_link.addEventListener('click', paginate) }) } function post_and_fetch(data,url) { showLoading() xhr = new XMLHttpRequest(); xhr.open('POST', url, true); xhr.setRequestHeader('Content-Type', 'application/json; charset=UTF-8'); xhr.onreadystatechange = function() { if (xhr.readyState === 4 && xhr.status === 200) { var resp = xhr.responseText; resp_json=JSON.parse(resp) resp_place = document.getElementById("search_result_div") resp_place.innerHTML = resp_json['results'] search_meta = resp_json['meta'] update_search_meta(search_meta) update_pagination() hideLoading() } }; xhr.send(JSON.stringify(data)); } function unfilter() { url=/search_year_filter/ var term=document.getElementById("search_meta_data").dataset.term var data={ "year":"unfilter", "term":term, "pgn":1 } filtered_res=post_and_fetch(data,url) } function deactivate_all_bars(){ var yrchart = document.querySelectorAll('.ct-bar'); yrchart.forEach(function(bar) { bar.dataset.active = false bar.style = "stroke:#71a3c5;" }) } year_chart.on("created", function() { var yrchart = document.querySelectorAll('.ct-bar'); yrchart.forEach(function(check) { check.addEventListener('click', checkIndex); }) }); function checkIndex(event) { var yrchart = document.querySelectorAll('.ct-bar'); var year_bar = event.target if (year_bar.dataset.active == "true") { unfilter_res = unfilter() year_bar.dataset.active = false year_bar.style = "stroke:#1d2b3699;" } else { deactivate_all_bars() year_bar.dataset.active = true year_bar.style = "stroke:#e56f6f;" filter_year = chart_data['labels'][Array.from(yrchart).indexOf(year_bar)] url=/search_year_filter/ var term=document.getElementById("search_meta_data").dataset.term var data={ "year":filter_year, "term":term, "pgn":1 } filtered_res=post_and_fetch(data,url) } } function showLoading() { document.getElementById("loading").style.display = "block"; setTimeout(hideLoading, 10000); // 10 seconds } function hideLoading() { document.getElementById("loading").style.display = "none"; } -->