Browsing by Subject "Classification"

Now showing items 1-4 of 4

    • Application of Machine Learning Models for Early Detection and Accurate Classification of Type 2 Diabetes 

      Iparraguirre-Villanueva, Orlando; Espinola-Linares, Karina; Ornella Flores Castañeda, Rosalynn; Cabanillas-Carbonell, Michael (MDPI, 2023)
      Acceso abierto
      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 ...

    • Classification of Tweets Related to Natural Disasters Using Machine Learning Algorithms 

      Iparraguirre-Villanueva, Orlando; Melgarejo-Graciano, Melquiades; Castro-Leon, Gloria; Olaya-Cotera, Sandro; John, Ruiz-Alvarado; Epifanía-Huerta, Andrés; Cabanillas-Carbonell, Michael; Zapata-Paulini, Joselyn (International Journal of Interactive Mobile Technologies (iJIM), 2023)
      Acceso abierto
      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 ...

    • Detection of Breast Cancer using Convolutional Neural Networks with Learning Transfer Mechanisms 

      Guevara-Ponce, Victor; Roque-Paredes, Ofelia; Zerga-Morales, Carlos; Flores-Huerta, Andrea; Aymerich-Lau, Mario; Iparraguirre-Villanueva, Orlando (SAI The Science and Information Organization, 2023)
      Acceso abierto
      Breast cancer is the leading cause of mortality in women worldwide. One of the biggest challenges for physicians and technological support systems is early detection, because it is easier to treat and establish curative ...

    • Sentiment Analysis of Tweets using Unsupervised Learning Techniques and the K-Means Algorithm 

      Iparraguirre-Villanueva, Orlando; Guevara-Ponce, Victor; Sierra-Liñan, Fernando; Beltozar-Clemente, Saul; Cabanillas-Carbonell, Michael (SAI The Science and Information Organization, 2022)
      Acceso abierto
      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 ...