SOURCE-LINKED INTELLIGENCE

Stratification of Patients using advanced Integrative modeling of Data Routinely acquired for diagnosing Rheumatic complaints

CORDIS · observation · Publication date unknown

y capture one disease early. - By integrating all relevant data dimensions from every healthcare level (primary and secondary care and patients seeking advice online). - By translating and applying machine learning techniques from the “omics” field to clinical patient data, which will result in new pipelines for translational data science SPIDERR will deliver three clinical models -a symptom checker for patients -a decision support tool for (primary) care providers providing guiding additional examination and referral decisions -a patient-patient similarity network to optimise diagnostic groups in rheumatology and support treatment decision To achieve this we additionally deliver solutions for data integration and shared analyses though GDPR compliant digital research environment and federated learning pipelines. Finally we will test the acceptability of the models through stakeholders studies and provide an implementation scene tailored to current healthcare in Europe. musculoskeletal complaints, early diagnostics, rheumatic diseases, autoimmunity, disease prevention

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recordType

award

status

SIGNED

region

EU

value

5182424.97

unit

EUR