Sensor-based datasets for human activity recognition–a systematic review of literature

E De-La-Hoz-Franco, P Ariza-Colpas, JM Quero… - IEEE …, 2018 - ieeexplore.ieee.org
The research area of ambient assisted living has led to the development of activity
recognition systems (ARS) based on human activity recognition (HAR). These systems …

Feature optimization by discrete weights for heart disease prediction using supervised learning

FAM Al-Yarimi, NMA Munassar, MHM Bamashmos… - Soft Computing, 2021 - Springer
The topic predictive analytics is the ray that lightning the way to patch the gap between
accuracy in decision-making by the expertise and the inexperience. In particular, the health …

Human Activity Recognition From Sensorised Patient's Data in Healthcare: A Streaming Deep Learning-Based Approach

SH Requena, JMG Nieto, A Popov, IN Delgado - IJIMAI, 2023 - dialnet.unirioja.es
Physical inactivity is one of the main risk factors for mortality, and its relationship with the
main chronic diseases has experienced intensive medical research. A well-known method …

[HTML][HTML] Estimation of obesity levels based on computational intelligence

RC Cervantes, UM Palacio - Informatics in Medicine Unlocked, 2020 - Elsevier
Obesity is a worldwide disease that affects people of all ages and gender; in consequence,
researchers have made great efforts to identify factors that cause it early. In this study, an …

Machine Learning Based Adult Obesity Prediction

KN Devi, N Krishnamoorthy, P Jayanthi… - 2022 International …, 2022 - ieeexplore.ieee.org
Obesity is a worldwide health problem that affects people of all ages and genders. Obese
people have a higher risk of several major diseases and health disorders, such as …

Method based on data mining techniques for breast cancer recurrence analysis

MO Roberto Cesar, LB German… - Advances in Swarm …, 2020 - Springer
Cancer is a constantly evolving disease, which affects a large number of people worldwide.
Great efforts have been made at the research level for the development of tools based on …

SSwWS: structural model of information architecture

MA Piñeres-Melo, PP Ariza-Colpas… - Advances in Swarm …, 2019 - Springer
Abstract The Web Technologies allow a representation of a domain of knowledge. This
facilitates the conversion of an explicit and tacit knowledge to the possibility of adding …

Heart disease prediction: A comparative study based on a machine-learning approach

P Dutta, S Paul, N Shaw, S Sen… - Artificial Intelligence and …, 2022 - taylorfrancis.com
In recent times coronary disease has been one of the most common ailments that human
beings can suffer from. In this ailment, blood cannot circulate to the different parts of the …

[PDF][PDF] Comparative Analysis of Data Mining Techniques to Predict Cardiovascular Disease

MAM Nayim, F Alam, M Rasel… - International Journal of …, 2022 - researchgate.net
Cardiovascular disease is the leading cause of death. In recent days, most people are living
with cardiovascular disease because of their unhealthy lifestyle and the most alarming issue …

WSIA: web ontological search engine based on smart agents applied to scientific articles

PP Ariza-Colpas, MA Piñeres-Melo… - Advances in Swarm …, 2019 - Springer
Abstract The Semantic Web proposed by the W3C (Word Wide Web Consortium), aims to
make the automation of the information contained in the current web through semantic …