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Source: Value in Health
Education: Learning

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Total 4 results found since Jan 2013.

Machine Learning For Identifying Potentially Undiagnosed Post-Stroke Spasticity Patients In United Kingdom
Spasticity is one of the well-recognized complications of stroke which may give rise to pain and limit patients’ ability to perform daily activities. The predisposing factors and direct effects of post-stroke spasticity (PSS) also involve high management costs in terms of healthcare resources and case-control designs are required for establishing such differences. In ‘The Health Improvement Network’ (THIN) database, such a study was difficult to provide reliable estimates since the prevalence of post-stroke spasticity was found to be substantially below the most conservative previously reported estimates.
Source: Value in Health - October 23, 2015 Category: Global & Universal Authors: A Cox, M Raluy-Callado, M Wang, A Bakheit, AP Moor, J Dinet Source Type: research

MSR124 Development of a Machine Learning Predictive Model for Stroke Among Patients With Non-Valvular Atrial Fibrillation Receiving Oral Anticoagulant Treatment
Objective was to develop a Machine Learning (ML) predictive model for stroke among patients with NVAF receiving Oral Anticoagulants (OAC) that allows to predict the individual patient level risk of stroke given patient features and select the best OAC for a NVAF patients.
Source: Value in Health - December 1, 2022 Category: International Medicine & Public Health Authors: P Rebollo, A Wolk, M Luczko, JP Tang Source Type: research

P58 Predicting the Risk of Stroke Using Machine Learning on a Large Administrative Health Database
This study investigates the predictive performance of several machine learning classifiers using a large administrative database to predict individual stroke risk.
Source: Value in Health - December 1, 2022 Category: International Medicine & Public Health Authors: M Ghiani, U Maywald, T Wilke Source Type: research

EE222 Indirect Cost Associated with Stroke-Related Disability: The Role of Learning Curves for Mechanical Thrombectomy in Improving Outcomes and Costs in Chile
Stroke-related disability varies upon the received endovascular therapy, and learning curves. These curves have effects on indirect costs.
Source: Value in Health - June 26, 2022 Category: International Medicine & Public Health Authors: D Paredes Source Type: research