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Javier Mamani-Paredes

Biographic Data

ID6952996
NAMEJavier Mamani-Paredes
GIVEN NAMESJavier
FAMILY NAMEMamani-Paredes
SIGNATUREMAMANI-PAREDES J
AFFILIATIONSUniversidad Nacional del Altiplano
VERIFIEDNo
TOTAL WORKS2
TOTAL CITATIONS0
WORKS AS AUTHOR2
WORKS AS EDITOR0
FIRST PUBLICATION YEAR2025
LATEST PUBLICATION YEAR2025
H-INDEX0
  • Optimizing Quinoa Production Systems in Andean Communities

    Open Access•Robert Antonio Romero-Flores, Lenin Huayta-Flores et al.•ARTICLE•Journal of Posthumanism•2025

    This research introduces a method to help improve quinoa farming in Puno Perú area by blending programming and machine learning methods to tackle issues faced in today’s global agricultural markets efficiently and effectively using information from a span of 26 years. Through our work and study details over these years we formulated a model that balances maximizing profits while handling market fluctuations effectively and efficiently Our results…

  • Differential Covid-19 Vaccine Effectiveness and Predictive Survival Modeling

    Open Access•Robert Antonio Romero-Flores, Javier Mamani-Paredes et al.•ARTICLE•Journal of Posthumanism•2025

    The study aims to develop descriptive and predictive models of COVID-19 behavior in Perú, using data mining techniques to support public health policies based on epidemiological evidence. The CRISP-DM methodology was applied, using decision tree, clustering, and Naive Bayes algorithms on the national database “Deaths, hospitalizations, and vaccinations due to COVID-19,” processed in RapidMiner Studio. The results showed that, out of 8,120 cases o…

No prominent works on this page.

  • Optimizing Quinoa Production Systems in Andean Communities

    Open Access•Robert Antonio Romero-Flores, Lenin Huayta-Flores et al.•ARTICLE•Journal of Posthumanism•2025

    This research introduces a method to help improve quinoa farming in Puno Perú area by blending programming and machine learning methods to tackle issues faced in today’s global agricultural markets efficiently and effectively using information from a span of 26 years. Through our work and study details over these years we formulated a model that balances maximizing profits while handling market fluctuations effectively and efficiently Our results…

  • Differential Covid-19 Vaccine Effectiveness and Predictive Survival Modeling

    Open Access•Robert Antonio Romero-Flores, Javier Mamani-Paredes et al.•ARTICLE•Journal of Posthumanism•2025

    The study aims to develop descriptive and predictive models of COVID-19 behavior in Perú, using data mining techniques to support public health policies based on epidemiological evidence. The CRISP-DM methodology was applied, using decision tree, clustering, and Naive Bayes algorithms on the national database “Deaths, hospitalizations, and vaccinations due to COVID-19,” processed in RapidMiner Studio. The results showed that, out of 8,120 cases o…

2019-20 coronavirus outbreak (1 work) · Artificial Intelligence in Healthcare (1 work) · Business, Innovation, and Economy (1 work) · Computer Science (1 work) · Coronavirus disease 2019 (COVID-19 (1 work) · COVID-19 diagnosis using AI (1 work) · Data mining (1 work) · Economic growth (1 work) · Economics (1 work) · Geography (1 work)

Ethnos_APP • Open Source Project • MIT License • Frontend v2.0.0 • Privacy and Cookies • API Documentation: api.ethnos.app/docs • API Source Code: GitHub • DOI: 10.5281/zenodo.17049435 • Frontend Source Code: GitHub • DOI: 10.5281/zenodo.17050053 • cruz.rio.br • Expectantes Misericordiae