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.
Lingua originale | English |
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pagine (da-a) | 2171-2181 |
Numero di pagine | 11 |
Rivista | Future Oncology |
Volume | 13 |
DOI | |
Stato di pubblicazione | Pubblicato - 2017 |
Keywords
- Decision Support System
- Decision Support Systems, Clinical
- Humans
- Machine Learning
- Male
- Medical Informatics
- Precision Medicine
- Prognosis
- Prostatic Neoplasms
- Software
- Workflow
- individualized medicine
- large database
- machine learning
- ontology
- predictive model