Future Oncol. 2017 Oct;13(24):2171-2181. doi: 10.2217/fon-2017-0142. Epub 2017 Jul 31.
PRODIGE: PRediction models in prOstate cancer for personalized meDIcine challenGE.
Alitto AR1, Gatta R1, Vanneste B2, Vallati M3, Meldolesi E1, Damiani A1, Lanzotti V1, Mattiucci GC1, Frascino V1, Masciocchi C1, Catucci F1, Dekker A2, Lambin P2, Valentini V1, Mantini G1.
Abstract
AIM:
Identifying the best care for a patient can be extremely challenging. To support the creation of multifactorial Decision Support Systems (DSSs), we propose an Umbrella Protocol, focusing on prostate cancer.
MATERIALS & METHODS:
The PRODIGE project consisted of a workflow for standardizing data, and procedures, to create a consistent dataset useful to elaborate DSSs. Techniques from classical statistics and machine learning will be adopted. The general protocol accepted by our Ethical Committee can be downloaded from cancerdata.org .
RESULTS:
A standardized knowledge sharing process has been implemented by using a semi-formal ontology for the representation of relevant clinical variables.
CONCLUSION:
The development of DSSs, based on standardized knowledge, could be a tool to achieve a personalized decision-making.
KEYWORDS:
Decision Support System; individualized medicine; large database; machine learning; ontology; predictive model
- PMID:
- 28758431
- DOI:
- 10.2217/fon-2017-0142
- [Indexed for MEDLINE]
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