2 citations · 6 across the 6 of their papers we have counts for
6 papers
Prediction of depression status in college students using a Naive Bayes classifier based machine learning model
Fred Torres Cruz, Evelyn Eliana Coaquira Flores, Sebastian Jarom Condori Quispe
This study presents a machine learning model based on the Naive Bayes classifier for predicting the level of depression in university students, the objective was to improve predict…
Time Series Analysis Applied to Notifications of Work Accidents
Tony Gabriel-Fernandez Cayo, Fred Torres-Cruz
Time series analysis applied to occupational accident reports is a powerful tool for understanding the evolution of occupational accidents over time. It provides valuable informati…
CATASTROAGRI -- Interactive data analysis and visualization application with a future projection for catastrophic agricultural insurance
Marizol Lizbeth Serrano Quispe, Fred Torres Cruz
CATASTROAGRI is an application developed to load, analyze and interactively visualize relevant data on catastrophic agricultural insurance. It also focuses on the analysis of an AR…
Peru Mining: Analysis and Forecast of Mining Production in Peru Using Time Series and Data Science Techniques
Yhack Bryan Aycaya-Paco, Lindell Dennis Vilca-Mamani, Fred Torres-Cruz
Peruvian mining plays a crucial role in the country's economy, being one of the main producers and exporters of minerals worldwide. In this project, an application was developed in…
Multiple Correspondence and Proportional Analysis of Vaccination Rate Among Healthcare Personnel of MINSA
Luz B. Valenzuela-Narvaez, Wladimir A. Carlosviza-Amanqui, Fred Torres-Cruz
DataProAnalytica is a powerful application for analyzing vaccination data in health care professionals. Through visualizations and multiple correspondence analysis, it uncovers mea…
Machine Learning Applied to Peruvian Vegetables Imports
Hugo Ticona-Salluca, Fred Torres-Cruz, Ernesto Nayer Tumi-Figueroa
The current research work is being developed as a training and evaluation object. the performance of a predictive model to apply it to the imports of vegetable products into Peru u…