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CORDIS - Risultati della ricerca dell’UE

Patients-centered SurvivorShIp care plan after Cancer treatments based on Big Data and Artificial Intelligence technologies

Risultati finali

CDSS requirements

Report containing the specific CDSS requirements to comply with the requirements and need defined in WP2. These specifications will also contain the anonymized data sets from EHRs.

Full clinical study validation results

Clinical analysis the impact of PERSIST and the expected results of the clinical studies Detailed evaluation as a result of the four planned individual cocreation workshops M35 oncologist PRM nurses physiotherapists phycologists data manager to cross check the potential of the tool Application to other sectors and ensure the impact of the project

CDSS evaluation report

Report containing the formal evaluation and validation of the CDSS

Dissemination and communication report year 3

Yearly reporting on the dissemination activities carried out by partnersUpdated Awareness Communication and Marketing Strategy Plan

Final version of High Risk markers for patients' stratification

This deliverable contains an updated version of D54

Data collection and usability clinical study results

Patients will fulfil a usability questionnaire and clinical partners will evaluate how the lifestyle factors really intervene in the personalisation of the care plans that will support the technical activities of the project it will also contain the outcomes of the two clinical workshops per hospital are envisioned to gather this information and will involve patients M18 and M24

State of the art, requirements and personas definition

Report including both the professionals and patients’ needs to reinforce the current best practices and the definition of the different potential users (Personas). It will define the methodology to ensure co-creation practices during the clinical studies. This report will be the starting point to define the project detailed technical specifications and architecture.

High risk markers for patient stratification.

The main outcome of cohort and trajectory analysis is to identify highrisk markers for detrimental treatment effects eg depression and anxiety disorder subsequent cancer disease and for metastatic cancer disease

Dissemination and communication report year 1 and updated strategy plan for year 2

Yearly reporting on the dissemination activities carried out by partners. Updated Awareness, Communication and Marketing Strategy Plan

Clinical study details

Report containing the clinical study with common goals and the details for each local institution. It will include the informed consents in the different languages.

Identification of best practices in cancer survivors’ follow-up

Report including a full overview of the best practices in cancer survivors’ follow-up around Europe with particular attention to colorectal and breast cancer. The main challenge is to define an integrated pathway for the project execution that will be the starting point to guide and evaluate PERSIST impact on current practices.

Dissemination and communication report year 2 and updated strategy plan for year 3

Yearly reporting on the dissemination activities carried out by partnersUpdated Awareness Communication and Marketing Strategy Plan

Identification of clinical data repositories

Identification of existing commercial or open datasets with clinical data that could be used during the project execution to feed the big data platform and artificial intelligence algorithms.

Awareness, Communication and Marketing Strategy Plan

A report including the strategic communication guidelines defining key target-groups, means, tools, responsible partners and timeline. It will be updated during the entire Project.

Big Data platform final release and evaluation report

A document containing a list of test cases evaluating user group definition and performance indicators that will be used to provide meaningful results on the patients


Language, speech, and facial expression features for artificial intelligence–based detection of cancer survivors’ depression: scoping meta-review

Autori: SMRKE, Urška, MLAKAR, Izidor, LIN, Simon, MUSIL, Bojan, PLOHL, Nejc
Pubblicato in: JMIR mental health, Numero vol. 8, no. 12, 2021, Pagina/e 11, ISSN 2368-7959
Editore: JMIR
DOI: 10.2196/30439

Patients-centered SurvivorShIp care plan after Cancer treatments based on Big Data and Artificial Intelligence technologies (PERSIST): a multicenter study protocol to evaluate efficacy of digital tools supporting cancer survivors

Autori: Mlakar, Izidor; Lin, Simon; Aleksandraviča, Ilona; Arcimoviča, Krista; Eglītis, Jānis; Leja, Mārcis; Salgado Barreira, Ángel; Gómez, Jesús G.; Salgado, Mercedes; Mata, Jesús G.; Batorek, Doroteja; Horvat, Matej; Molan, Maja; Ravnik, Maja; Kaux, Jean-François; Bleret, Valérie; Loly, Catherine; Maquet, Didier; Sartini, Elena; Smrke, Urška
Pubblicato in: Patients-centered SurvivorShIp care plan after Cancer treatments based on Big Data and Artificial Intelligence technologies (PERSIST): a multicenter study protocol to evaluate efficacy of digital tools supporting cancer survivors. <i>BMC medical informatics and decision making, 21</i>(1), 243. (2021)., Numero vol 21, no. 243, 2021, ISSN 1472-6947
Editore: BioMed Central
DOI: 10.1186/s12911-021-01603-w

CASIDE: A data model for interoperable cancer survivorship information based on FHIR.

Autori: González-Castro, L., Cal-González, V. M., Del Fiol, G., & López-Nores, M.
Pubblicato in: Journal of biomedical informatics, Numero monthly, 2021, Pagina/e 103953, ISSN 1532-0464
Editore: Academic Press
DOI: 10.1016/j.jbi.2021.103953

Multilingual conversational systems to drive the collection of patient-reported outcomes and integration into clinical workflows

Autori: MLAKAR, Izidor, ŠAFRAN, Valentino, HARI, Daniel, ROJC, Matej, ALANKUS, Gazihan, PEREZ, Rafael, ARIOZ, Umut
Pubblicato in: Symmetry, Numero 13(7), 2021, Pagina/e 1187, ISSN 2073-8994
Editore: Multidisciplinary Digital Publishing Institute (MDPI)
DOI: 10.3390/sym13071187

Agent-based Modeling for Ontology-driven Analysis of Patient Trajectories

Autori: Davide Calvaresi, Michael Schumacher, Jean-Paul Calbimonte
Pubblicato in: Journal of Medical Systems, Numero 44/9, 2020, ISSN 0148-5598
Editore: Kluwer Academic/Plenum Publishers
DOI: 10.1007/s10916-020-01620-8

Multilingual Conversational Systems to Drive the Collection of PROs andIntegration into Clinical Workflow

Autori: Daniel Hari, Valentino Šafran, Umut Arioz, Izidor Mlakar, Matej Rojc, Gazihan Alankus, Rafael Perez Luna
Pubblicato in: WSEAS Transactions on Biology and Biomedicine, Numero 18, 2021, Pagina/e 113-118, ISSN 1109-9518
Editore: World Scientific and Engineering Academy and Society
DOI: 10.37394/23208.2021.18.13

Cohort and Trajectory Analysis in Multi-Agent Support Systems for Cancer Survivors

Autori: Gaetano Manzo, Davide Calvaresi, Oscar Jimenez-del-Toro, Jean-Paul Calbimonte, Michael Schumacher
Pubblicato in: Journal of Medical Systems, Numero 45(12), 2021, ISSN 1573-689X
Editore: Springer
DOI: 10.1007/s10916-021-01770-3

Will Big Data and personalized medicine do the gender dimension justice?

Autori: Antonio Carnevale, Emanuela A. Tangari, Andrea Iannone, Elena Sartini
Pubblicato in: AI & SOCIETY, Numero 01/06/2021, 2021, ISSN 0951-5666
Editore: Springer Verlag
DOI: 10.1007/s00146-021-01234-9

PERSIST Sensing Network: A Multimodal Sensing Network Architecture For Collection of Patient-Generated Health Data In The Clinical Workflow

Autori: ŠAFRAN, Valentino, HARI, Daniel, ARIOZ, Umut, MLAKAR, Izidor
Pubblicato in: Electrical, Computer, Communications and Mechatronics Engineering (ICECCME), International Conference on, Numero 7-8 Oct. 2021, 2021, Pagina/e 1-6, ISBN 978-1-6654-1262-9
Editore: IEEE
DOI: 10.1109/iceccme52200.2021.9591125

Decentralized Management of Patient Profiles and Trajectories through Semantic Web Agents

Autori: Jean-Paul Calbimonte, Davide Calvaresi, Michael Schumacher
Pubblicato in: Proceedings of the Third International Workshop on Semantic Web Meets Health Data Management (SWH 2020) co-located with the 19th International Semantic Web Conference (ISWC 2020), 2020, Pagina/e 19-29

The Future of Applications For Clinical Decision Support Systems in Healthcare. Case Study: H2020 PERSIST Project

Autori: Umut ARIÖZ, Barış YILDIZ, R. Alp KUT, İbrahim Tolga AĞIM, Kadir ÜĞÜDÜCÜ
Pubblicato in: Izmir Democracy University, International Engineering Symposium(IES'20), Proceedings Abstract Book, Numero December 2020, 2020, Pagina/e 157-158, ISBN 978-605-74811-0-8
Editore: International Izmir Democracy University Engineering Symposium

Optimization of pre analytical conditions for unbiased isolation of Circulating Tumour Cells

Autori: LR Pires, A Carneiro, C Lopes, T Pesqueira, P Piairo and L Diéguez
Pubblicato in: 2021

Quality of life dimensions in clinical care of breast cancer survivors : a Delphy study

Pubblicato in: EHPS 2021 : book of abstracts, Numero August 23 – August 27, 2021, 2021, Pagina/e 244
Editore: Easy Conferences Ltd.

The Dichotomy Between Data Ownership and Data Utilization: Using Personal Data for the Greater Good

Autori: Simon Lin, MD
Pubblicato in: Philosophical News, Numero 22 – June 2021, 2021, Pagina/e Pages: 51-64, ISBN 9788869773877
Editore: MIMESIS
DOI: 10.7413/2039-7194121

Mednarodni projekt za iskanje pametnih rešitev v podporo bolnikom po zdravljenju raka. Naša bolnišnica

Autori: Molan Maja, Batorek Doroteja
Pubblicato in: Numero 2020, vol XXI, no. 1-2, 2020, Pagina/e 7
Editore: University Clinical Center Maribor

Can Turn-Taking Highlight the Nature of Non-Verbal Behavior: A Case Study

Autori: Izidor Mlakar, Matej Rojc, Darinka Verdonik, Simona Majhenič
Pubblicato in: Types of Nonverbal Communication [Working Title], 2021
Editore: IntechOpen
DOI: 10.5772/intechopen.95516

Digital intervention for sustainable PROMs/PREMs for personalized care and interventions to increase quality of life for cancer survivors

Autori: MLAKAR, Izidor, MUSIL, Bojan, ROJC, Matej, HORVAT, Matej, RAVNIK, Maja, SMRKE, Urška
Pubblicato in: Philosophical news, Numero no. 22, 2021, Pagina/e 33-49, ISSN 2037-6707
Editore: Mimesis Journals
DOI: 10.7413/2039-7194120

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