Project description
Big data aids in the transition from cancer patient to survivor
The transition from cancer patient to cancer survivor should be planned and coordinated to ensure patients receive high-quality, coordinated and personalised care. The EU-funded PERSIST project is developing a system that supports self-care and can identify outcomes that require professional intervention. Its system uses big data technology and novel analysis algorithms that can be easily integrated into electronic health records and other sources of clinical data. Overall, the project aims to improve the management, intervention and prevention strategies to reduce side effects and prevent secondary diseases. Its long-term goal is to reduce the socio-economic burden related to cancer survivors’ care by creating a dynamic decision support system and making maximum use of predictive models.
Field of science
- /natural sciences/biological sciences/ecology/ecosystems
- /natural sciences/computer and information sciences/artificial intelligence
- /natural sciences/computer and information sciences/data science/big data
- /medical and health sciences/clinical medicine/cancer
- /social sciences/economics and business/business and management/employment
Programme(s)
Call for proposal
H2020-SC1-DTH-2019
See other projects for this call
Funding Scheme
RIA - Research and Innovation action
Coordinator
36330 Vigo
Spain
Participants (12)
15703 Santiago De Compostela
28232 Madrid
35430 Izmir
2000 Maribor
2000 Maribor
2800 Delemont
1586 Riga
80024 Cardito
4000 Liege
4864 Attersee
4700314 Braga
1142 Sofia
