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Specialty: Information Technology
Condition: Pain
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Total 19 results found since Jan 2013.
Discovering Key Topics in Emergency Medical Dispatch from Free Text Dispatcher Observations
The objective of this work was to discover key topics latent in free text dispatcher observations registered during emergency medical calls. We used a total of 1374931 independent retrospective cases from the Valencian emergency medical dispatch service in Spain, from 2014 to 2019. Text fields were preprocessed to reduce vocabulary size and filter noise, removing accent and punctuation marks, along with uninformative and infrequent words. Key topics were inferred from the multinomial probabilities over words conditioned on each topic from a Latent Dirichlet Allocation model, trained following an online mini-batch variation...
Source: Studies in Health Technology and Informatics - May 25, 2022 Category: Information Technology Authors: Pablo Ferri Carlos S áez Antonio F élix-De Castro Purificaci ón Sánchez-Cuesta Juan M Garc ía-Gómez Source Type: research
Jolly Good to study VR therapy for chronic pain in Japan
The research targets people with complex regional pain syndrome, post-stroke pain, and other pain-induced conditions.
Source: mobihealthnews - December 16, 2021 Category: Information Technology 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
Podcast: Electromechanical-assisted training for improving arm function and disability after stroke
A common consequence for people who have a stroke is a reduction in their arm function. Various approaches are available to try to help and, in September 2018, the Cochrane Review for one of these, electromechanical and robot ‐assisted arm training, was updated by a team of researchers from Germany. We asked lead author, Jan Mehrholz from Dresden Medical School, to tell us about the latest findings in this podcast." More than two ‐thirds of people who have had a stroke have difficulties with reduced arm function. This can limit their ability to perform everyday activities and electromechanical and robot‐assisted arm ...
Source: Cochrane News and Events - December 10, 2018 Category: Information Technology Authors: Lydia Parsonson Source Type: news
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
