Search results for "Data mining"
showing 10 items of 907 documents
Reply: Externalities and citation practices
2016
Dr. Shiri raises some important questions on the results in our short report "Externalities and article citations: experience of a national public health journal (Gaceta Sanitaria)"[1]. We welcome any debate on the topic of citations research because little evidence is available on this topic and exchange between readers, authors, and editors contributes to enrich this discussion.
Information transfer and information modification to identify the structure of cardiovascular and cardiorespiratory networks
2017
To fully elucidate the complex physiological mechanisms underlying the short-term autonomic regulation of heart period (H), systolic and diastolic arterial pressure (S, D) and respiratory (R) variability, the joint dynamics of these variables need to be explored using multivariate time series analysis. This study proposes the utilization of information-theoretic measures to measure causal interactions between nodes of the cardiovascular/cardiorespiratory network and to assess the nature (synergistic or redundant) of these directed interactions. Indexes of information transfer and information modification are extracted from the H, S, D and R series measured from healthy subjects in a resting…
Effectiveness and safety of Nintendo Wii Fit PlusTM training in children with migraine without aura a preliminary study
2013
Maria Esposito,1 Maria Ruberto,2 Francesca Gimigliano,1,2 Rosa Marotta,3 Beatrice Gallai,4 Lucia Parisi,5 Serena Marianna Lavano,3 Michele Roccella,5 Marco Carotenuto11Center for Childhood Headache, Child and Adolescent Neuropsychiatry Clinic, Department of Mental Health, Physical and Preventive Medicine, 2Department of Odonto-Stomathologic Disciplines, Pathology – Orthopedic Sciences, Second University of Naples, Naples, Italy; 3Department of Psychiatry, “Magna Graecia” University of Catanzaro, Catanzaro, Italy; 4Unit of Child and Adolescent Neuropsychiatry, University of Perugia, Perugia, Italy; 5Child Neuropsychiatry, Department of Psychology, University of …
Position paper Statin intolerance – an attempt at a unified definition. Position paper from an International Lipid Expert Panel
2015
Statins are one of the most commonly prescribed drugs in clinical practice. They are usually well tolerated and effectively prevent cardiovascular events. Most adverse effects associated with statin therapy are muscle-related. The recent statement of the European Atherosclerosis Society (EAS) has focused on statin associated muscle symptoms (SAMS), and avoided the use of the term 'statin intolerance'. Although muscle syndromes are the most common adverse effects observed after statin therapy, excluding other side effects might underestimate the number of patients with statin intolerance, which might be observed in 10-15% of patients. In clinical practice, statin intolerance limits effective…
A visualization technique for accessing solution pool in interactive methods of multiobjective optimization
2015
<pre>Interactive methods of <span>multiobjective</span> optimization repetitively derive <span>Pareto</span> optimal solutions based on decision maker's preference information and present the obtained solutions for his/her consideration. Some interactive methods save the obtained solutions into a solution pool and, at each iteration, allow the decision maker considering any of solutions obtained earlier. This feature contributes to the flexibility of exploring the <span>Pareto</span> optimal set and learning about the optimization problem. However, in the case of many objective functions, the accumulation of derived solutions makes accessing the sol…
Performance Evaluation for a Sustainable Supply Chain Management System in the Automotive Industry Using Artificial Intelligence
2020
Increasing the sustainability of a system can be achieved by evaluating the system, identifying the issues and their root cause and solving them. Performance evaluation translates into key performance indicators (KPIs) with a high impact on increasing overall efficacy and efficiency. As the pool of KPIs has increased over time in the context of evaluating the supply chain management (SCM) system&rsquo
Detector-based visual analysis of time-series data
2015
Information Extraction from Binary Skill Assessment Data with Machine Learning
2021
Strength training exercises are essential for rehabilitation, improving our health as well as in sports. For optimal and safe training, educators and trainers in the industry should comprehend exercise form or technique. Currently, there is a lack of tools measuring in-depth skills of strength training experts. In this study, we investigate how data mining methods can be used to identify novel and useful skill patterns from a binary multiple choice questionnaire test designed to measure the knowledge level of strength training experts. A skill test assessing exercise technique expertise and comprehension was answered by 507 fitness professionals with varying backgrounds. A triangulated appr…
Image classification based on 2D feature motifs
2013
The classification of raw data often involves the problem of selecting the appropriate set of features to represent the input data. In general, various features can be extracted from the input dataset, but only some of them are actually relevant for the classification process. Since relevant features are often unknown in real-world problems, many candidate features are usually introduced. This degrades both the speed and the predictive accuracy of the classifier due to the presence of redundancy in the candidate feature set. In this paper, we study the capability of a special class of motifs previously introduced in the literature, i.e. 2D irredundant motifs, when they are exploited as feat…