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Total 2 results found since Jan 2013.

Predictive analysis for identifying potentially undiagnosed post-stroke spasticity patients in United Kingdom
Conclusions Using machine learning techniques, additional unrecorded post-stroke spasticity patients were identified, increasing the condition’s prevalence in THIN from 2% to 13%. This work shows the potential for under-reporting of PSS in primary care data, and provides a method for improved identification of cases and control records for future studies. Graphical abstract
Source: Journal of Biomedical Informatics - February 29, 2016 Category: Information Technology Source Type: research

Cochrane ' s 30 under 30: Ndi Euphrasia Ebai-Atuh
Cochrane is made up of  13,000 members and over 50,000 supporters come from more than 130 countries, worldwide. Our volunteers and contributors are researchers, health professionals, patients, carers, people passionate about improving health outcomes for everyone, everywhere.Cochrane is an incredible community of people who all play their part in improving health and healthcare globally. We believe that by putting trusted evidence at the heart of health decisions we can achieve a world of improved health for all.  Many  of our contributors are young people working with Cochrane as researchers, citizen scientists...
Source: Cochrane News and Events - April 12, 2019 Category: Information Technology Authors: Lydia Parsonson Source Type: news