Big Data for Medical Analytics

CORDIS fournit des liens vers les livrables publics et les publications des projets HORIZON.

Les liens vers les livrables et les publications des projets du 7e PC, ainsi que les liens vers certains types de résultats spécifiques tels que les jeux de données et les logiciels, sont récupérés dynamiquement sur OpenAIRE .

Livrables

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

Publications

Private Hospital Workflow Optimization via Secure k-Means Clustering

Auteurs: Gabriele Spini, Maran van Heesch, Thijs Veugen, Supriyo Chatterjea
Publié dans: Journal of Medical Systems, Numéro 44/1, 2020, ISSN 0148-5598
Éditeur: Kluwer Academic/Plenum Publishers
DOI: 10.1007/s10916-019-1473-4

Privacy-preserving dataset combination and Lasso regression for healthcare predictions

Auteurs: 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
Publié dans: BMC Medical Informatics and Decision Making, Numéro 21/1, 2021, ISSN 1472-6947
Éditeur: BioMed Central
DOI: 10.1186/s12911-021-01582-y

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

Auteurs: 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
Publié dans: Journal of Visualized Experiments, Numéro 170, 2021, ISSN 1940-087X
Éditeur: MYJoVE Corporation
DOI: 10.3791/61971

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

Auteurs: 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
Publié dans: Journal of Clinical Medicine, Numéro 9/6, 2020, Page(s) 1869, ISSN 2077-0383
Éditeur: Multidisciplinary Digital Publishing Institute (MDPI)
DOI: 10.3390/jcm9061869

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

Auteurs: Oswaldo Solarte Pabón, Maria Torrente, Mariano Provencio, Alejandro Rodríguez-Gonzalez, Ernestina Menasalvas
Publié dans: Applied Sciences, Numéro 11/2, 2021, Page(s) 865, ISSN 2076-3417
Éditeur: MDPI
DOI: 10.3390/app11020865

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

Auteurs: Brian Pickering
Publié dans: Future Internet, Numéro 13/5, 2021, Page(s) 132, ISSN 1999-5903
Éditeur: Future Internet
DOI: 10.3390/fi13050132

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

Auteurs: 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
Publié dans: ESC Heart Failure, Numéro 8/1, 2021, Page(s) 63-73, ISSN 2055-5822
Éditeur: John Wiley & Sons Ltd
DOI: 10.1002/ehf2.13113

eHealth in transplantation

Auteurs: Wiebke Duettmann, Marcel G. Naik, Bianca Zukunft, Bilgin Osmonodja, Friederike Bachmann, Mira Choi, Roland Roller, Manuel Mayrdorfer, Fabian Halleck, Danilo Schmidt, Klemens Budde
Publié dans: Transplant International, Numéro 34/1, 2021, Page(s) 16-26, ISSN 0934-0874
Éditeur: Blackwell Publishing Inc.
DOI: 10.1111/tri.13778

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

Auteurs: Rik Wehrens, Vikrant Sihag, Sandra Sülz, Hilco van Elten, Erik van Raaij, Antoinette de Bont, Anne Marie Weggelaar-Jansen
Publié dans: JMIR Research Protocols, Numéro 9/10, 2020, Page(s) e16779, ISSN 1929-0748
Éditeur: JMIR
DOI: 10.2196/16779

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

Auteurs: 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
Publié dans: ESC Heart Failure, 2021, ISSN 2055-5822
Éditeur: Wiley Online Library
DOI: 10.1002/ehf2.13505

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

Auteurs: 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
Publié dans: Journal of Visualized Experiments, Numéro 170, 2021, ISSN 1940-087X
Éditeur: MYJoVE Corporation
DOI: 10.3791/61899

Acute kidney injury in heart failure: a population study

Auteurs: Jose Luis Holgado, Cristina Lopez, Antonio Fernandez, Inmaculada Sauri, Ruth Uso, Jose Luis Trillo, Sara Vela, Julio Nuñez, Josep Redon, Adrian Ruiz
Publié dans: ESC Heart Failure, 2020, ISSN 2055-5822
Éditeur: 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

Auteurs: 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
Publié dans: Medical Imaging 2020: Imaging Informatics for Healthcare, Research, and Applications, 2020, Page(s) 45, ISBN 9781510634046
Éditeur: SPIE
DOI: 10.1117/12.2551374

Fuzzy Inference System for Risk Evaluation in Gestational Diabetes Mellitus

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

Exploring Diachronic Changes of Biomedical Knowledge using Distributed Concept Representations

Auteurs: Gaurav Vashisth, Jan-Niklas Voigt-Antons, Michael Mikhailov, Roland Roller
Publié dans: Proceedings of the 18th BioNLP Workshop and Shared Task, 2019, Page(s) 348-358
Éditeur: Association for Computational Linguistics
DOI: 10.18653/v1/w19-5037

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

Auteurs: Nils Rethmeier, Barbara Plank
Publié dans: Proceedings of the 4th Workshop on Representation Learning for NLP (RepL4NLP-2019), 2019, Page(s) 49-54
Éditeur: Association for Computational Linguistics
DOI: 10.18653/v1/w19-4307

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

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

Deep Learning in Information Security

Auteurs: Thaler, Stefan; Menkovski, Vlado; Petkovic, Milan
Publié dans: Numéro 1, 2018
Éditeur: ICLR 2019

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

Auteurs: Wouter van Haaften / Alex Sangers / Tom van Engers / Somayeh Djafari
Publié dans: International Legal Informatics Symposium 2020 (IRIS2020), Numéro 29 February 2020, 2020
Éditeur: International Legal Informatics Symposium

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

Auteurs: Seiffe, Laura; Marten, Oliver; Mikhailov, Michael; Schmeier, Sven; Möller, Sebastian; Roller, Roland
Publié dans: Numéro 1, 2020
Éditeur: European Language Resources Association

Information Extraction Models for German Clinical Text

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

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

Auteurs: Dimitrios Vogiatzis; Ernestina Menasalvas Ruiz; Mariano Provencio; Maria-Esther Vidal; Maria Torrente; Alejandro Rodríguez González; George Paliouras; Manuel Scurti
Publié dans: CBMS, Numéro 4, 2020, ISSN 2372-9198
Éditeur: IEEE
DOI: 10.5281/zenodo.3862243

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

Auteurs: Rabinovici-Cohen S., Fernandez X., Grandal Rejo B., Hexter E., Hijano Cubelos O., Pajula J., Polonen H., Reyal F., Rosen-Zvi M.
Publié dans: 2021
Éditeur: 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)

Auteurs: Rik Wehrens, Johanna Kostenzer
Publié dans: ÖGPH-Newsletter Juni 2019, 2019, Page(s) 2-3, ISSN 2309-2246
Éditeur: ÖGPH, Österreichische Gesellschaft für Public Health (Austrian Association of Public Health)

Self-contained Information Retention Format (SIRF)

Auteurs: Simona Rabinovici-Cohen, Philip Viana, Sam Fineberg
Publié dans: 2019, Page(s) 1-37
Éditeur: ISO

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

Auteurs: Cristina Lopez, Jose Luis Holgado, Raquel Cortes, Inma Sauri, Antonio Fernandez, Jose Miguel Calderon, Julio Nuñez, Josep Redon
Publié dans: Bioengineering, Numéro 8/6, 2021, Page(s) 85, ISSN 2306-5354
Éditeur: Bioengineering
DOI: 10.3390/bioengineering8060085

Data Science in Healthcare: Benefits, Challenges and Opportunities

Auteurs: 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
Publié dans: Data Science for Healthcare - Methodologies and Applications, 2019, Page(s) 3-38, ISBN 978-3-030-05248-5
Éditeur: Springer International Publishing
DOI: 10.1007/978-3-030-05249-2_1

Deep Metric Learning for Sequential Data Using Approximate Information

Auteurs: Stefan Thaler, Vlado Menkovski, Milan Petkovic
Publié dans: Machine Learning and Data Mining in Pattern Recognition - 14th International Conference, MLDM 2018, New York, NY, USA, July 15-19, 2018, Proceedings, Part I, Numéro 10934, 2018, Page(s) 269-282, ISBN 978-3-319-96135-4
Éditeur: 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?

Auteurs: Harry F. da Cruz, Boris Pfahringer, Frederic Schneider, Alexander Meyer, Matthieu-P. Schapranow
Publié dans: Artificial Intelligence in Medicine - 17th Conference on Artificial Intelligence in Medicine, AIME 2019, Poznan, Poland, June 26–29, 2019, Proceedings, Numéro 11526, 2019, Page(s) 191-201, ISBN 978-3-030-21641-2
Éditeur: Springer International Publishing
DOI: 10.1007/978-3-030-21642-9_25

Multimodal Prediction of Breast Cancer Relapse Prior to Neoadjuvant Chemotherapy Treatment

Auteurs: Simona Rabinovici-Cohen, Ami Abutbul, Xosé M. Fernández, Oliver Hijano Cubelos, Shaked Perek, Tal Tlusty
Publié dans: Predictive Intelligence in Medicine - Third International Workshop, PRIME 2020, Held in Conjunction with MICCAI 2020, Lima, Peru, October 8, 2020, Proceedings, Numéro 12329, 2020, Page(s) 188-199, ISBN 978-3-030-59353-7
Éditeur: Springer International Publishing
DOI: 10.1007/978-3-030-59354-4_18

Recherche de données OpenAIRE...

Livrables

Publications

Partager cette page

Télécharger