August 31, 2013 by Suzanne Elvidge in Data mining, Healthcare big data analysis

Analytics could predict suicide risk using social media data

The Durkheim Project, a data analytics project powered by Patterns and Predictions, is using data mining to analyse social media and mobile content captured from veterans and predict their suicide risk. According to a survey of data from 2005 to 2011, veterans are more than twice as likely to kill

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August 23, 2013 by Suzanne Elvidge in Data mining, Healthcare big data analysis

Data mining to find heart attack risk

Data mining has been able to pick out the most important predisposing risk factors of heart attacks, whether severe, moderate or mild, for patients in India. Not unsurprisingly, these turn out to be high blood cholesterol, alcohol intake and cigarette smoke. The research, carried out at the Camellia Institute of

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August 20, 2013 by Suzanne Elvidge in Data mining

Data analytics cuts paediatric scrips for powerful drug

The Navy and Marine Corps Public Health Center (NMCPHC) has used data analysis to slash the number of codeine prescriptions for children in the Military Health System (MHS). The project, targeting the use of codeine after tonsillectomies and adenoidectomies, cut the use of the powerful painkiller by 99%, and confirmed

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August 12, 2013 by Suzanne Elvidge in Data mining, Healthcare big data analysis

Big data may help to predict premature birth

Premature or preterm birth leads to 10,000 deaths of babies in the US alone, and knowing who is at risk could make a real difference to the families affected. Inova Translational Medicine Institute at Inova Fairfax Hospital and GNS Healthcare are working together to create computer models based on big

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August 02, 2013 by Suzanne Elvidge in Data mining, Healthcare big data analysis

Analysing electronic medical records cuts readmission

Using data analytics and risk stratification based on patients’ electronic medical records (EMRs) could reduce the number of people with heart failure who are readmitted to hospital, and allow hospitals to reallocate resources in real time. The study, published in British Medical Journal: Quality & Safety, looked at a technology

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