Big Data for Medical Analytics

CORDIS fornisce collegamenti ai risultati finali pubblici e alle pubblicazioni dei progetti ORIZZONTE.

I link ai risultati e alle pubblicazioni dei progetti del 7° PQ, così come i link ad alcuni tipi di risultati specifici come dataset e software, sono recuperati dinamicamente da .OpenAIRE .

Risultati finali

Report on validation of pilots in Healthcare Industrialization (KPI tracking)
Report on validation of pilots in Oncology (KPI tracking)

Report on validation of pilots in Oncology (KPI tracking)

Three causal models which identify variables and causal relationships that prohibit and enable the use of Big data technology and a workshop to validate and strengthen the model.
Country specific infographics that summarize the relevant regulations for Big data technologies in the healthcare sector
Report on the results from Trial for pilots in Oncology
Report on validation of pilots in Population Health (KPI tracking)
Dissemination procedures
Report on the results from Trial for pilots in Population Health
Initial prototypes of specific components for all BigMedilytics pilots (software)
Report on the results from Trial for pilots in Healthcare Industrialization
Intermediate report on dissemination activities
Communication plan and tools
Material prepared for the workshops and final conclusions
Updated prototypes of specific components for all BigMedilytics pilots (software)
Final report and outreach and dissemination activities
Statistical model to measure the increase of productivity (at least 20%) including a workshop with all the pilot partners to validate the model.
Website portal
A tool to develop a plan of action that is consistent with the business strategy for future pilots.

Combining the output and providing guidance for different kinds of stakeholders on (i) Health policy, (ii) Business models and (iii) Technology components (referred to as the BigMedilytics Blueprint) and privacy, legal and ethical aspects.

Final implementations of specific components for all BigMedilytics pilots (software)
T0 base line measurement of the KPIs

Pubblicazioni

Private Hospital Workflow Optimization via Secure k-Means Clustering

Autori: Gabriele Spini, Maran van Heesch, Thijs Veugen, Supriyo Chatterjea
Pubblicato in: Journal of Medical Systems, Numero 44/1, 2020, ISSN 0148-5598
Editore: Kluwer Academic/Plenum Publishers
DOI: 10.1007/s10916-019-1473-4

Privacy-preserving dataset combination and Lasso regression for healthcare predictions

Autori: Marie Beth van Egmond, Gabriele Spini, Onno van der Galien, Arne IJpma, Thijs Veugen, Wessel Kraaij, Alex Sangers, Thomas Rooijakkers, Peter Langenkamp, Bart Kamphorst, Natasja van de L’Isle, Milena Kooij-Janic
Pubblicato in: BMC Medical Informatics and Decision Making, Numero 21/1, 2021, ISSN 1472-6947
Editore: BioMed Central
DOI: 10.1186/s12911-021-01582-y

TBase - an Integrated Electronic Health Record and Research Database for Kidney Transplant Recipients

Autori: Danilo Schmidt, Bilgin Osmanodja, Matthias Pfefferkorn, Verena Graf, Dirk Raschke, Wiebke Duettmann, Marcel G. Naik, Carolin J. Gethmann, Manuel Mayrdorfer, Fabian Halleck, Lutz Liefeldt, Petra Glander, Oliver Staeck, Michael Mallach, Martin Peuker, Klemens Budde
Pubblicato in: Journal of Visualized Experiments, Numero 170, 2021, ISSN 1940-087X
Editore: MYJoVE Corporation
DOI: 10.3791/61971

Impact of Acute Hemoglobin Falls in Heart Failure Patients: A Population Study

Autori: Cristina Lopez, Jose Luis Holgado, Antonio Fernandez, Inmaculada Sauri, Ruth Uso, Jose Luis Trillo, Sara Vela, Carlos Bea, Julio Nuñez, Ana Ferrer, Javier Gamez, Adrian Ruiz, Josep Redon
Pubblicato in: Journal of Clinical Medicine, Numero 9/6, 2020, Pagina/e 1869, ISSN 2077-0383
Editore: Multidisciplinary Digital Publishing Institute (MDPI)
DOI: 10.3390/jcm9061869

Integrating Speculation Detection and Deep Learning to Extract Lung Cancer Diagnosis from Clinical Notes

Autori: Oswaldo Solarte Pabón, Maria Torrente, Mariano Provencio, Alejandro Rodríguez-Gonzalez, Ernestina Menasalvas
Pubblicato in: Applied Sciences, Numero 11/2, 2021, Pagina/e 865, ISSN 2076-3417
Editore: MDPI
DOI: 10.3390/app11020865

Trust, but Verify: Informed Consent, AI Technologies, and Public Health Emergencies

Autori: Brian Pickering
Pubblicato in: Future Internet, Numero 13/5, 2021, Pagina/e 132, ISSN 1999-5903
Editore: Future Internet
DOI: 10.3390/fi13050132

Impact of sex differences in co‐morbidities and medication adherence on outcome in 25 776 heart failure patients

Autori: Muhammed T. Gürgöze, Onno P. Galiën, Marlou A.M. Limpens, Stefan Roest, René C. Hoekstra, Arne S. IJpma, Jasper J. Brugts, Olivier C. Manintveld, Eric Boersma
Pubblicato in: ESC Heart Failure, Numero 8/1, 2021, Pagina/e 63-73, ISSN 2055-5822
Editore: John Wiley & Sons Ltd
DOI: 10.1002/ehf2.13113

eHealth in transplantation

Autori: Wiebke Duettmann, Marcel G. Naik, Bianca Zukunft, Bilgin Osmonodja, Friederike Bachmann, Mira Choi, Roland Roller, Manuel Mayrdorfer, Fabian Halleck, Danilo Schmidt, Klemens Budde
Pubblicato in: Transplant International, Numero 34/1, 2021, Pagina/e 16-26, ISSN 0934-0874
Editore: Blackwell Publishing Inc.
DOI: 10.1111/tri.13778

Understanding the Uptake of Big Data in Health Care: Protocol for a Multinational Mixed-Methods Study

Autori: Rik Wehrens, Vikrant Sihag, Sandra Sülz, Hilco van Elten, Erik van Raaij, Antoinette de Bont, Anne Marie Weggelaar-Jansen
Pubblicato in: JMIR Research Protocols, Numero 9/10, 2020, Pagina/e e16779, ISSN 1929-0748
Editore: JMIR
DOI: 10.2196/16779

Heart failure and promotion of physical activity before and after cardiac rehabilitation (HF‐aPProACH): a study protocol

Autori: Marlou A.M. Limpens, Muhammed T. Gürgöze, Mattie J. Lenzen, Stefan Roest, Trudy Voortman, Maryam Kavousi, Nienke Hoeve, Madoka Sunamura, Iris Uijl, Peter J. Spek, Jasper J. Brugts, Olivier C. Manintveld, Arne S. IJpma, Eric Boersma
Pubblicato in: ESC Heart Failure, 2021, ISSN 2055-5822
Editore: Wiley Online Library
DOI: 10.1002/ehf2.13505

Digital Home-Monitoring of Patients after Kidney Transplantation: The MACCS Platform

Autori: Wiebke Duettmann, Marcel G. Naik, Danilo Schmidt, Matthias Pfefferkorn, Matthias Kurz, Verena Graf, Andrea Kreichgauer, Severin Hoegl, Max Haenska, Tim Gielsdorf, Tillmann Breitenstein, Bilgin Osmanodja, Petra Glander, Jannis Bakker, Manuel Mayrdorfer, Carolin J. Gethmann, Friederike Bachmann, Mira Choi, Eva Schrezenmeier, Bianca Zukunft, Fabian Halleck, Klemens Budde
Pubblicato in: Journal of Visualized Experiments, Numero 170, 2021, ISSN 1940-087X
Editore: MYJoVE Corporation
DOI: 10.3791/61899

Acute kidney injury in heart failure: a population study

Autori: Jose Luis Holgado, Cristina Lopez, Antonio Fernandez, Inmaculada Sauri, Ruth Uso, Jose Luis Trillo, Sara Vela, Julio Nuñez, Josep Redon, Adrian Ruiz
Pubblicato in: ESC Heart Failure, 2020, ISSN 2055-5822
Editore: John Wiley & Sons Ltd on behalf of the European Society of Cardiology
DOI: 10.1002/ehf2.12595

Radiomics for predicting response to neoadjuvant chemotherapy treatment in breast cancer

Autori: Simona Rabinovici-Cohen, Tal Tlusty, Ami Abutbul, Kari Antila, Xose Fernandez, Beatriz Grandal Rejo, Efrat Hexter, Oliver Hijano-Cubelos, Abed Khateeb, Juha Pajula, Shaked Perek
Pubblicato in: Medical Imaging 2020: Imaging Informatics for Healthcare, Research, and Applications, 2020, Pagina/e 45, ISBN 9781510634046
Editore: SPIE
DOI: 10.1117/12.2551374

Fuzzy Inference System for Risk Evaluation in Gestational Diabetes Mellitus

Autori: Carlos Salort Sanchez, Suzanne Smyth, Elizabeth Tully, Joanna Griffin, Luke Heaphy, Niamh Redmond, Fionnuala Breathnach, Jan Baumbach, Cristian Axenie
Pubblicato in: 2019 IEEE 19th International Conference on Bioinformatics and Bioengineering (BIBE), 2019, Pagina/e 947-952, ISBN 978-1-7281-4617-1
Editore: IEEE
DOI: 10.1109/bibe.2019.00177

Exploring Diachronic Changes of Biomedical Knowledge using Distributed Concept Representations

Autori: Gaurav Vashisth, Jan-Niklas Voigt-Antons, Michael Mikhailov, Roland Roller
Pubblicato in: Proceedings of the 18th BioNLP Workshop and Shared Task, 2019, Pagina/e 348-358
Editore: Association for Computational Linguistics
DOI: 10.18653/v1/w19-5037

MoRTy: Unsupervised Learning of Task-specialized Word Embeddings by Autoencoding

Autori: Nils Rethmeier, Barbara Plank
Pubblicato in: Proceedings of the 4th Workshop on Representation Learning for NLP (RepL4NLP-2019), 2019, Pagina/e 49-54
Editore: Association for Computational Linguistics
DOI: 10.18653/v1/w19-4307

Enabling analytics on sensitive medical data with secure multi-party computation

Autori: Veeningen, Meilof; Chatterjea, Supriyo; Horváth, Anna Zsófia; Spindler, Gerald; Boersma, Eric; Spek, Peter; Galiën, Onno; Gutteling, Job; Kraaij, Wessel; Veugen, Thijs
Pubblicato in: Numero 2, 2018
Editore: European Federation for Medical Informatics (EFMI) and IOS Press
DOI: 10.3233/978-1-61499-852-5-76

Deep Learning in Information Security

Autori: Thaler, Stefan; Menkovski, Vlado; Petkovic, Milan
Pubblicato in: Numero 1, 2018
Editore: ICLR 2019

Coping with the general data protection regulation; anonymization through multi-party computation technology

Autori: Wouter van Haaften / Alex Sangers / Tom van Engers / Somayeh Djafari
Pubblicato in: International Legal Informatics Symposium 2020 (IRIS2020), Numero 29 February 2020, 2020
Editore: International Legal Informatics Symposium

From Witch's Shot to Music Making Bones -- Resources for Medical Laymen to Technical Language and Vice Versa

Autori: Seiffe, Laura; Marten, Oliver; Mikhailov, Michael; Schmeier, Sven; Möller, Sebastian; Roller, Roland
Pubblicato in: Numero 1, 2020
Editore: European Language Resources Association

Information Extraction Models for German Clinical Text

Autori: Roland Roller, Laura Seiffe, Ammer Ayach, Sebastian Moller, Oliver Marten, Michael Mikhailov, Christoph Alt, Danilo Schmidt, Fabian Halleck, Marcel Naik, Wiebke Duettmann, Klemens Budde
Pubblicato in: 2020 IEEE International Conference on Healthcare Informatics (ICHI), 2020, Pagina/e 1-2, ISBN 978-1-7281-5382-7
Editore: IEEE
DOI: 10.1109/ichi48887.2020.9374385

A Data-Driven Approach for Analyzing Healthcare Services Extracted from Clinical Records

Autori: Dimitrios Vogiatzis; Ernestina Menasalvas Ruiz; Mariano Provencio; Maria-Esther Vidal; Maria Torrente; Alejandro Rodríguez González; George Paliouras; Manuel Scurti
Pubblicato in: CBMS, Numero 4, 2020, ISSN 2372-9198
Editore: IEEE
DOI: 10.5281/zenodo.3862243

Prediction of Five-Year Breast Cancer Recurrence in Women Treated with Neoadjuvant Chemotherapy

Autori: Rabinovici-Cohen S., Fernandez X., Grandal Rejo B., Hexter E., Hijano Cubelos O., Pajula J., Polonen H., Reyal F., Rosen-Zvi M.
Pubblicato in: 2021
Editore: AMIA Annual Symposium

Big Data im Gesundheitswesen – Regulierung und Herausforderungen in acht europäischen Ländern (Big Data in healthcare – regulation and challenges in eight European countries)

Autori: Rik Wehrens, Johanna Kostenzer
Pubblicato in: ÖGPH-Newsletter Juni 2019, 2019, Pagina/e 2-3, ISSN 2309-2246
Editore: ÖGPH, Österreichische Gesellschaft für Public Health (Austrian Association of Public Health)

Self-contained Information Retention Format (SIRF)

Autori: Simona Rabinovici-Cohen, Philip Viana, Sam Fineberg
Pubblicato in: 2019, Pagina/e 1-37
Editore: ISO

Supervised Analysis for Phenotype Identification: The Case of Heart Failure Ejection Fraction Class

Autori: Cristina Lopez, Jose Luis Holgado, Raquel Cortes, Inma Sauri, Antonio Fernandez, Jose Miguel Calderon, Julio Nuñez, Josep Redon
Pubblicato in: Bioengineering, Numero 8/6, 2021, Pagina/e 85, ISSN 2306-5354
Editore: Bioengineering
DOI: 10.3390/bioengineering8060085

Data Science in Healthcare: Benefits, Challenges and Opportunities

Autori: Ziawasch Abedjan, Nozha Boujemaa, Stuart Campbell, Patricia Casla, Supriyo Chatterjea, Sergio Consoli, Cristobal Costa-Soria, Paul Czech, Marija Despenic, Chiara Garattini, Dirk Hamelinck, Adrienne Heinrich, Wessel Kraaij, Jacek Kustra, Aizea Lojo, Marga Martin Sanchez, Miguel A. Mayer, Matteo Melideo, Ernestina Menasalvas, Frank Moller Aarestrup, Elvira Narro Artigot, Milan Petković, Diego Refor
Pubblicato in: Data Science for Healthcare - Methodologies and Applications, 2019, Pagina/e 3-38, ISBN 978-3-030-05248-5
Editore: Springer International Publishing
DOI: 10.1007/978-3-030-05249-2_1

Deep Metric Learning for Sequential Data Using Approximate Information

Autori: Stefan Thaler, Vlado Menkovski, Milan Petkovic
Pubblicato in: Machine Learning and Data Mining in Pattern Recognition - 14th International Conference, MLDM 2018, New York, NY, USA, July 15-19, 2018, Proceedings, Part I, Numero 10934, 2018, Pagina/e 269-282, ISBN 978-3-319-96135-4
Editore: Springer International Publishing
DOI: 10.1007/978-3-319-96136-1_22

External Validation of a “Black-Box” Clinical Predictive Model in Nephrology: Can Interpretability Methods Help Illuminate Performance Differences?

Autori: Harry F. da Cruz, Boris Pfahringer, Frederic Schneider, Alexander Meyer, Matthieu-P. Schapranow
Pubblicato in: Artificial Intelligence in Medicine - 17th Conference on Artificial Intelligence in Medicine, AIME 2019, Poznan, Poland, June 26–29, 2019, Proceedings, Numero 11526, 2019, Pagina/e 191-201, ISBN 978-3-030-21641-2
Editore: Springer International Publishing
DOI: 10.1007/978-3-030-21642-9_25

Multimodal Prediction of Breast Cancer Relapse Prior to Neoadjuvant Chemotherapy Treatment

Autori: Simona Rabinovici-Cohen, Ami Abutbul, Xosé M. Fernández, Oliver Hijano Cubelos, Shaked Perek, Tal Tlusty
Pubblicato in: Predictive Intelligence in Medicine - Third International Workshop, PRIME 2020, Held in Conjunction with MICCAI 2020, Lima, Peru, October 8, 2020, Proceedings, Numero 12329, 2020, Pagina/e 188-199, ISBN 978-3-030-59353-7
Editore: Springer International Publishing
DOI: 10.1007/978-3-030-59354-4_18

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