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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

Featured Review: Electromechanical and robot ‐assisted arm training for improving activities of daily living, arm function, and arm muscle strength after stroke
Updated review: Electromechanical and robot ‐assisted arm training for improving activities of daily living, arm function, and arm muscle strength after strokeIn thisupdated review authors from Germany came together to re-assess the effects of electromechanical and robot ‐assisted arm training for improving arm function in people who have had a stroke. The review was updated from having low/very low quality evidence of benefit to high quality evidence of benefit.Electromechanical and robot ‐assisted arm training uses specialised machines to assist rehabilitation in supporting shoulder, elbow, or hand movements. Howev...
Source: Cochrane News and Events - September 6, 2018 Category: Information Technology Authors: Katie Abbotts Source Type: news

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

Heart disease classification using hybridized Ruzzo-Tompa memetic based deep trained Neocognitron neural network
AbstractAccording to the survey 17.5 million deaths are happened due to the cardiovascular disease that leads to create heart attack, chest pain and stroke. Based on the survey it clearly concludes that most of the people affected by heart problem that need to be identified in the earlier stage for eliminating the future risk in patient health. The importance of the heart disease detection process helps to create the earlier detection system for identifying heart problem by using machine learning and optimized techniques but the developed forecasting systems are difficult to predict the heart problems in an accurate manner...
Source: Health and Technology - January 9, 2019 Category: Information Technology Source Type: research