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Wearable Devices for Physical Monitoring of Heart: A Review
(MDPI Publishing, 2022-05-02)
Cardiovascular diseases (CVDs) are the leading cause of death globally. An effective strategy to mitigate the burden of CVDs has been to monitor patients’ biomedical variables during daily activities with wearable technology. ...
mHealth Apps for Self-Management of Cardiovascular Diseases: A Scoping Review
(MDPI Publishing, 2022-02-08)
The use of mHealth apps for the self-management of cardiovascular diseases (CVDs) is an increasing trend in patient-centered care. In this research, we conduct a scoping review of mHealth apps for CVD self-management within ...
Horizontal Fragmentation of Data Warehouses Using Decision Trees
(Universidad Autónoma de Coahuila, Centro de Investigación en Matemáticas Aplicadas, 2020-08-01)
One of the main problems faced by Data Warehouse (DW) designers is fragmentation. Several studies have proposed data mining-based horizontal fragmentation methods, which focus on optimizing the query response time and ...
Remote Healthcare for Elderly People Using Wearables: A Review
(MDPI Publishing, 2022-01-27)
The growth of health care spending on older adults with chronic diseases faces major concerns that require effective measures to be adopted worldwide. Among the main concerns is whether recent technological advances now ...
Detecting Depression Signs on Social Media: A Systematic Literature Review
(MDPI Publishing, 2022-02-01)
Among mental health diseases, depression is one of the most severe, as it often leads to suicide; due to this, it is important to identify and summarize existing evidence concerning depression sign detection research on ...
Towards Association Rule-based Item Selection Strategy in Computerized Adaptive Testing
(CEIPA, 2020-12-07)
One of the most important stages of Computerized Adaptive Testing is the selection of items, in which various methods are used, which have certain weaknesses at the time of implementation. Therefore, in this paper, it is ...
Comparative Analysis of Decision Tree Algorithms for Data Warehouse Fragmentation
(CEIPA, 2020-12-07)
One of the main problems faced by Data Warehouse designers is fragmentation. Several studies have proposed data mining-based horizontal fragmentation methods. However, not exists a horizontal fragmentation technique that ...
Discovery of Resident Behavior Patterns Using Machine Learning Techniques and IoT Paradigm
(MDPI Publishing, 2021-01-22)
: In recent years, technological paradigms such as Internet of Things (IoT) and machine learning have become very important due to the benefit that their application represents in various areas of knowledge. It is interesting ...
Knowledge Intensive Software Engineering Applications
(Journal of Universal Computer Science, 2021-02-28)
The use of Information and Communication Technologies (ICTs) has become a competitive strategy that allows organizations to position themselves within their market of action. In addition, the evolution, advancement and use ...
A New Method of Dynamic Horizontal Fragmentation for Multimedia Databases Contemplating Content-Based Queries
(MDPI Publishing, 2022-01-17)
The proper storage and management of multimedia data is a topic of great interest to industry and academia. Database fragmentation plays a fundamental role as a mechanism to guarantee cost reduction and improve response ...