August 14, 2015 by Suzanne Elvidge in Big data, Big data in research, Data analytics, Data mining

Researchers use big data to learn more about stroke risk

Atrial fibrillation (AF), a disorganised beating of the heart, increases the chance of blood clots and stroke, but it is not entirely clear when the patient is at most risk. US researchers, including the Stanford University School of Medicine, have used continuously-recorded medical information from patients with cardiac implantable electronic

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July 26, 2015 by Suzanne Elvidge in Big data, Big data in research, Data analytics

Bioinformatics finds a route through high-throughput biological data

High-throughput generation of genomics data leads to huge quantities of information about the inner workings of the cell, but this requires the right kind of analytics for interpretation. Researchers at The Genome Analysis Centre (TGAC) and Jagiellonian University have used a new workflow to find links between metabolites and genes

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July 20, 2015 by Suzanne Elvidge in Big data, Data analytics, Data mining, Healthcare big data analysis

Using Twitter data to predict A&E visits in asthma

A model using big data from asthma-related tweets could help doctors target treatments and hospitals plan and make better use of resources by predicting asthma-related accident & emergency (A&E; emergency room) visits. The results are being published in the IEEE Journal of Biomedical and Health Informatics. Asthma is a common,

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July 12, 2015 by Suzanne Elvidge in Big data, Big data in research, Data analytics

Genetic analysis shows rare mutations to be more common in schizophrenia patients

Schizophrenia is known to have a genetic element, and some of the commonly-occurring mutations have been used to power a potential diagnostic. However, the inheritance pattern is complex, and rare coding mutations also play a part. Researchers mining through genetic variants have found that people with schizophrenia carry rather more

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February 28, 2015 by Suzanne Elvidge in Big data, Data analytics

Using data analytics to improve diabetes prevention

Many companies and research groups are working to treat diabetes, but preventing the disease will have a greater impact on health in at-risk groups. A team of US researchers are using data analytics to create a precision medicine approach to prevention of diabetes that steers efforts towards those who are

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February 01, 2015 by Suzanne Elvidge in Big data, Big data in research, Data analytics

Using big data to forecast the flu

Understanding more about flu trends could reduce disease spread, but big data efforts have overestimated cases. Researchers at UC San Diego are working to combine traditional data sources with big data to improve the quality of prediction. Even though the flu season is generally starting to abate around now, it

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January 30, 2015 by Suzanne Elvidge in Big data, Big data in research, Data analytics, Data mining

Major analysis of scans and DNA cracks brain’s genetic code

The brain is a very complex organ, and its structure is largely shaped by genetics. To understand more about how changes in the brain’s structure can lead to disease or alterations in behaviour, researchers analysed data from genome-wide association studies (GWAS) in the largest collaborative study of the brain to

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December 21, 2014 by Suzanne Elvidge in Data analytics, Data mining, Musings

Have yourself a data mining Christmas

Christmas is coming up fast, and we at the GenoKey blog wish you data mining Season’s Greetings for the festive time of the year. Data mining your Christmas dinner Are you making your own Christmas dinner this year? Potatoes and greens are important parts of the feast.Spud DB includes datasets

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December 15, 2014 by Suzanne Elvidge in Big data, Big data in research, Data analytics, Data mining

Mining Twitter data opens a window on mental health

Social media generates a lot of information every day, from pictures of cats to discussions of science and politics. However, it can also been used to monitor outbreaks of disease, including infectious diseases such as flu and the winter vomiting virus. In some of the latest reports on the medical

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November 30, 2014 by Suzanne Elvidge in Big data, Big data in research, Data analytics, Data mining, Drug development

Using bioinformatics to create cancer vaccines

Biologists, immunologists and computational bioinformaticians have worked together to find protein mutations on cancer cells that could lead to new personalised vaccines. The research has been published in the Journal of Experimental Medicine. As cancer cells mutate, they create new proteins on their surface that could be targets for vaccines;

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