Colorectal cancer risk mapping through Bayesian networks
CRC is most commonly developed in older individuals. However, some modifiable behavioral factors seem to have a strong predictive influence on its potential risk of development. Modeling these effects facilitates identifying risk groups and targeting influential variables which are subsequently helpful in the design of screening and treatment programs.
Authors
- Susana López‐Ortiz (ORCID: https://orcid.org/0000-0002-9758-8239)
- David Rı́os Insua (ORCID: https://orcid.org/0000-0002-5748-9658)
- Alejandro Lucía (ORCID: https://orcid.org/0000-0002-5565-0997)
- Daniel Corrales
- Alejandro Santos‐Lozano (ORCID: https://orcid.org/0000-0002-2309-3583)
Institutions
- Consejo Superior de Investigaciones Científicas (ES)
- Universidad Europea Miguel de Cervantes (ES)
- Research Institute Hospital 12 de Octubre (ES)
- Institute of Mathematical Sciences (ES)
- Universidad Europea de Madrid (ES)
Publication Details
- Journal
- Computer Methods and Programs in Biomedicine
- Published
- 2024-09-06
- DOI
- https://doi.org/10.1016/j.cmpb.2024.108407
- Citations
- 9
- Primary Topic
- Bayesian Modeling and Causal Inference
- Type
- article
- Field-Weighted Citation Impact
- 3.13
Funders
- Ministerio de Ciencia e Innovación
- Horizon 2020 Framework Programme
- Horizon 2020
- HORIZON EUROPE Reforming and enhancing the European Research and Innovation system