Follow
Didac Florensa Cazorla
Title
Cited by
Cited by
Year
Severity of COVID-19 cases in the months of predominance of the Alpha and Delta variants
D Florensa, J Mateo, R Spaimoc, C Miret, S Godoy, F Solsona, P Godoy
Scientific Reports 12 (1), 15456, 2022
302022
The use of multiple correspondence analysis to explore associations between categories of qualitative variables and cancer incidence
D Florensa, P Godoy, J Mateo, F Solsona, T Pedrol, M Mesas, R Pinol
IEEE Journal of Biomedical and Health Informatics 25 (9), 3659-3667, 2021
202021
Use of multiple correspondence analysis and K-means to explore associations between risk factors and likelihood of colorectal cancer: Cross-sectional study
D Florensa, J Mateo-Fornés, F Solsona, T Pedrol Aige, M Mesas Julió, ...
Journal of Medical Internet Research 24 (7), e29056, 2022
82022
Low-dose acetylsalicylic acid for cancer prevention considering risk factors: a retrospective cohort study
D Florensa, J Mateo, F Solsona, L Galván, M Mesas, R Piñol, ...
Annals of Epidemiology 84, 60-66, 2023
52023
Acetylsalicylic acid effect in colorectal cancer taking into account the role of tobacco, alcohol and excess weight
D Florensa, J Mateo, F Solsona, L Galván, M Mesas, R Piñol, ...
International Journal of Environmental Research and Public Health 20 (5), 4104, 2023
42023
El registre poblacional de càncer a lleida en zones urbanes i rurals. resultats de l’any 2014
D Florensa, T Pedrol, I Mòdol-Pena, X Farré, A Salud, J Mateo, P Godoy
Agència de Salut Pública de Catalunya, 2019
42019
Diabetes mellitus as a risk factor for recurrence or metastases in colorectal cancer: A systematic review
J Serrano-Segura, A Fuentes, D Florensa, S Godoy, C Miret, P Godoy
2024
DIABETES, EXCESS WEIGHT, METFORMIN AND ASSOCIATION WITH PANCREAS CANCER
D Florensa, J Mateo, C Miret, S Godoy, P Godoy
GACETA SANITARIA 37, S198-S198, 2023
2023
Exploring Cancer Incidence, Risk Factors, and Mortality in the Lleida Region: Interactive, Open-source R Shiny Application for Cancer Data Analysis
D Florensa, J Mateo-Fornes, S Lopez Sorribes, A Torres Tuca, F Solsona, ...
JMIR cancer 9, e44695, 2023
2023
Low-dose acetylsalicylic acid for cancer prevention considering risk factors: a retrospective cohort study
D Florensa Cazorla, J Mateo Fornés, F Solsona Tehàs, L Galván, ...
Elsevier, 2023
2023
Predicting the Colorectal Cancer Mortality in the Region of Lleida, Spain: A Machine Learning Study
D Florensa, J Mateo, F Solsona, P Godoy, L Espinosa-Leal
International Conference on Extreme Learning Machine, 70-79, 2022
2022
Use of Multiple Correspondence Analysis and K-means to Explore Associations Between Risk Factors and Likelihood of Colorectal Cancer: Cross-sectional Study
D Florensa Cazorla, J Mateo Fornés, F Solsona Tehàs, T Pedrol, ...
JMIR Publications, 2022
2022
On the Intensive Care Unit Admission During the COVID-19 Pandemic in the Region of Lleida, Spain: A Machine Learning Study
D Florensa, J Mateo, F Solsona, P Godoy, L Espinosa-Leal
International Conference on Extreme Learning Machine, 92-103, 2021
2021
A Cloud-Based Decision Support System to Support Decisions in Sow Farms
J Mateo, D Florensa, A Pagès-Bernaus, LM Plà-Aragonès, F Solsona, ...
IoT-based Intelligent Modelling for Environmental and Ecological Engineering …, 2021
2021
Design and implementation of a platform to integrate pharmacological data and grant access to perform studies and analytics and provide tools to exchange and disseminate the …
R Plana Llauradó
2021
eCut, a new cloud-based decision support system to improve productivity in meat-packing plants. Based on a microservice architecture to handle executions in OpenNebula environments
D Florensa Cazorla
2019
A cloud decision support system for sow farms
D Florensa Cazorla
2017
Machine Learning Approaches for Comprehensive Analysis of Population Cancer Registry Data
D Florensa Cazorla
Universitat de Lleida, 0
PREDICTING THE RISK OF CANCER BY THE CONSUMPTION OF MEDICINES
D Florensa, J Mateo, F Solsona, L Galván, P Godoy, L Espinosa-Leal
The system can't perform the operation now. Try again later.
Articles 1–19