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Machine Learning Analysis for Cervical Cancer Prediction, a Systematic Review of the Literature
(Institute of Electrical and Electronics Engineers, 2021-12-30)
At present, cervical cancer is still the most complex issue due to the fact that people who suffer from it have a high risk of death. Therefore, it is very important to have an early diagnosis. The present study is a review ...
Acceso restringido
Sentiment Analysis of Tweets using Unsupervised Learning Techniques and the K-Means Algorithm
(SAI The Science and Information Organization, 2022)
Abstract: Today, web content such as images, text, speeches, and videos are user-generated, and social networks have become increasingly popular as a means for people to share their ideas and opinions. One of the most ...
Acceso abierto
Classification of Tweets Related to Natural Disasters Using Machine Learning Algorithms
(International Journal of Interactive Mobile Technologies (iJIM), 2023)
Abstract—In recent years, computer science has advanced exponentially, helping significantly to identify and classify text extracted from social networks, specifically Twitter. This work identifies, classifies, and analyzes ...
Acceso abierto
Predictive machine learning applying cross industry standard process for data mining for the diagnosis of diabetes mellitus type 2
(IAES International Journal of Artificial Intelligence (IJ-AI), 2023)
Currently, type 2 diabetes mellitus is one of the world's most prevalent diseases and has claimed millions of people's lives. The present research aims to know the impact of the use of machine learning in the diagnostic ...
Acceso abierto
Application of Machine Learning Models for Early Detection and Accurate Classification of Type 2 Diabetes
(MDPI, 2023)
Early detection of diabetes is essential to prevent serious complications in patients. The purpose of this work is to detect and classify type 2 diabetes in patients using machine learning (ML) models, and to select the ...
Acceso abierto
Machine Learning Analysis in the Prediction of Diabetes Mellitus: A Systematic Review of the Literature
(Springer Link, 2023)
In recent years, diabetes mellitus has increased its prevalence in the global landscape, and currently, due to COVID-19, people with diabetes mellitus are the most likely to develop a critical picture of this disease. In ...
Acceso restringido