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Evaluation of Country Dietary Habits Using Machine Learning Techniques in Relation to Deaths from COVID-19
COVID-19 disease has affected almost every country in the world.
A Web-Based Tool for Automatic Data Collection, Curation, and Visualization of Complex Healthcare Survey Studies including Social Network Analysis
There is a great concern nowadays regarding alcohol consumption and drug abuse, especially in young people.
A Semantic Social Network Analysis Tool for Sensitivity Analysis and What-If Scenario Testing in Alcohol Consumption Studies
When building a social network for performing an SNA analysis, an initial process of data gathering is achieved in order to extract the characteristics of the individuals and their relationships.
Heart disease risk prediction using deep learning techniques with feature augmentation
Cardiovascular diseases state as one of the greatest risks of death for the general population.
Determining the severity of Parkinson's disease in patients using a multi task neural network
Parkinson's disease is easy to diagnose when it is advanced, but it is very difficult to diagnose in its early stages.
Multiclass Classification Procedure for Detecting Attacks on MQTT-IoT Protocol
This gives rise to new challenges in cybersecurity to protect these systems and devices which are characterized by being connected continuously to the Internet.
Detecting Respiratory Pathologies Using Convolutional Neural Networks and Variational Autoencoders for Unbalancing Data
This dataset is composed of 920 sounds of which 810 are of chronic diseases, 75 of non-chronic diseases and only 35 of healthy individuals.
Diabetes detection using deep learning techniques with oversampling and feature augmentation
Conclusions: Using a full deep learning pipeline for data preprocessing and classification has demonstrate to be very promising in the diabetes detection field outperforming the state-of-the-art proposals.
Sentiment analysis in non-fixed length audios using a Fully Convolutional Neural Network
In this work, a sentiment analysis method that is capable of accepting audio of any length, without being fixed a priori, is proposed.
An Ontology-Based multi-domain model in Social Network Analysis: Experimental validation and case study
The complete procedure for carrying out a social network analysis (SNA) is a time-consuming task that entails a series of steps in which the expert in social network analysis could make mistakes.
