Javier Mamani-Paredes
Biographic Data
| ID | 6952996 |
|---|---|
| NAME | Javier Mamani-Paredes |
| GIVEN NAMES | Javier |
| FAMILY NAME | Mamani-Paredes |
| SIGNATURE | MAMANI-PAREDES J |
| AFFILIATIONS | Universidad Nacional del Altiplano |
| VERIFIED | No |
| TOTAL WORKS | 2 |
| TOTAL CITATIONS | 0 |
| WORKS AS AUTHOR | 2 |
| WORKS AS EDITOR | 0 |
| FIRST PUBLICATION YEAR | 2025 |
| LATEST PUBLICATION YEAR | 2025 |
| H-INDEX | 0 |
Optimizing Quinoa Production Systems in Andean Communities
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
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
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
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)