Cargando…
Workflow-driven clinical decision support for personalized oncology
BACKGROUND: The adoption in oncology of Clinical Decision Support (CDS) may help clinical users to efficiently deal with the high complexity of the domain, lead to improved patient outcomes, and reduce the current knowledge gap between clinical research and practice. While significant effort has bee...
Autores principales: | Bucur, Anca, van Leeuwen, Jasper, Christodoulou, Nikolaos, Sigdel, Kamana, Argyri, Katerina, Koumakis, Lefteris, Graf, Norbert, Stamatakos, Georgios |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
BioMed Central
2016
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4965727/ https://www.ncbi.nlm.nih.gov/pubmed/27460182 http://dx.doi.org/10.1186/s12911-016-0314-3 |
Ejemplares similares
-
iManageMyHealth and iSupportMyPatients: mobile decision support and health management apps for cancer patients and their doctors
por: Schera, Fatima, et al.
Publicado: (2018) -
A Modular Repository-based Infrastructure for Simulation Model Storage and Execution Support in the Context of In Silico Oncology and In Silico Medicine
por: Christodoulou, Nikolaos A., et al.
Publicado: (2016) -
Multiscale Cancer Modeling and In Silico Oncology: Emerging Computational Frontiers in Basic and Translational Cancer Research
por: Stamatakos, Georgios S, et al.
Publicado: (2013) -
Artificial intelligence radiogenomics for advancing precision and effectiveness in oncologic care (Review)
por: Trivizakis, Eleftherios, et al.
Publicado: (2020) -
Numerical simulation of vascular tumour growth under antiangiogenic treatment: addressing the paradigm of single-agent bevacizumab therapy with the use of experimental data
por: Argyri, Katerina D., et al.
Publicado: (2016)