4/28/2023 0 Comments Pdf search database![]() However, a structured overview of its validity and reliability is lacking. Panoramic ultrasound (US) is a novel method used to assess linear dimensions, cross-sectional area, fatty infiltrate and echo-intensity features of muscles that cannot be measured with B-mode US. The results of our research provide unique insights into the performance of recommendation algorithms against the needs of modern-day biomedical researchers. We analyze the recommendations from each algorithm based on assessments of output as evaluated by 14 biomedical researchers. We evaluate the recommendation algorithms in a large-scale biomedical knowledge base with the goal of identifying relative weaknesses and strengths of each algorithm. In this paper, we describe the implementation of seven commonly used algorithms and three aggregation algorithms. Recently, there has been a focus on recommendation algorithms that suggest relevant documents based on the current interests of the researchers. Searching across a variety of databases and browsing millions of documents to find semantically relevant material is a time-consuming task. The frequency at which new research documents are being published causes challenges for researchers who increasingly need access to relevant documents in order to conduct their research. ![]() Visual RUSI feedback seems to be more effective than tactile and/or verbal biofeedback for improving MCE performance and retention success, but no differences with pressure unit biofeedback were found. Eight studies assessed muscle thickness and pressure differences during MCE, two assessed the number of trials needed to successfully perform MCE, three assessed the retain success, seven assessed the muscle activity with electromyography and one assessed clinical severity outcomes. Eight studies involved healthy subjects and three studies clinical populations. Seven studies assessed abdominal wall muscles, one assessed pelvic floor muscles, one serratus anterior muscle, and two lumbar multifidi. Most studies showed acceptable methodological quality. Eleven studies analyzing RUSI feedback during MCE were included. MEDLINE, PubMed, SCOPUS and Web of Science databases were searched for studies evaluating efficacy data of RUSI to improve muscular morphology, quality, and/or function of skeletal muscles and MCE success. We aimed to systematically review the efficacy of RUSI for improving MCE programs compared with no feedback and other feedback methods. However, a structured overview of its efficacy is lacking. Rehabilitative ultrasound imaging (RUSI) is used by physical therapists as a feedback tool for measuring changes in muscle morphology during therapeutic interventions such as motor control exercises (MCE). The platform has proven transferable, sustainable and scalable across policies, data and regions. The MIDAS platform delivers a secure, effective and integrated solution to deal with health data, providing support for health policy decision-making, planning of public health activities and the implementation of the Health in All Policies approach. ![]() The platform has been piloted and tested by health departments in four European countries, each focusing on different region-specific health challenges and related data sources.Ī novel health data platform solving the needs of Public Health decision-makers was successfully implemented within the four pilot regions connecting heterogeneous healthcare datasets and open datasets and turning large amounts of previously isolated data into actionable information allowing for evidence-based health policy-making and risk stratification through the application and visualization of advanced analytics. The MIDAS platform was developed in an iterative and collaborative way with close involvement of academia, industry, healthcare staff and policy-makers, to solve tasks including data storage, data harmonization, data analytics and visualizations, and open and social data analytics. The goal of this study was to develop a novel health data platform within the MIDAS (Meaningful Integration of Data Analytics and Services) project, that harnesses the potential of latent healthcare data in combination with open and social data to support evidence-based health policy decision-making in a privacy-preserving manner. A means of connecting healthcare data and integrating it with additional open and social data in a secure way can support the monumental challenge policy-makers face in safely accessing all relevant data to assist in managing the health and wellbeing of all. ![]() Healthcare data is a rich yet underutilized resource due to its disconnected, heterogeneous nature.
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