D4.4 Beta version of the sensing network
| Autor: | Arioz, Umut, Mlakar, Izidor, Šafran, Valentino, Urška Smrke, Diéguez, Lorena, Pires, Liliana, Lin, Simon, Rodrigez, Laura, González, Victoria M. Cal, Gonzalez, Lorena |
|---|---|
| Jazyk: | angličtina |
| Rok vydání: | 2021 |
| Předmět: | |
| DOI: | 10.5281/zenodo.7003779 |
| Popis: | This deliverable highlights the components of PERSIST sensing network, the framework for multimodal risk assessment and tracking of symptoms by analysing physiological biomarkers (i.e. tumour cells) and by extracting and processing conversational biomarkers (i.e. symptoms of depression and medical concepts as expressed during diary recordings). The algorithms for tracking and classification of wellbeing and health parameters are designed as complex sensors executing multimodal signal fusion. These sensors represent a novel source of real-world data. Thus, their output, i.e. classification, is at the appended to the electronic data of patient and can be used in automatic patient assessment carried out under clinical decision support system (i.e. WP5). The deliverable is Confidential, only members of the consortium (including the Commision Services) have access to the full version of the delivrable |
| Databáze: | OpenAIRE |
| Externí odkaz: |
|