Publications

Journal Articles

Rankin D, Black M, Bond R, Wallace J, Mulvenna M, Epelde G. (2020) Reliability of Supervised Machine Learning Using Synthetic Data in Healthcare: A Model to Preserve Privacy for Data Sharing, JMIR Medical Informatics. 04/06/2020:18910 (forthcoming/in press). DOI: 10.2196/18910

Bilbao, R et al. (2020) DE UN PROYECTO DE BIG DATA EN SALUD PÚBLICA: PROYECTO MIDAS (Meaningful Integration of Data Analytics and Services). In: SÁNCHEZ-CARO .J, ABELLÁN F. (eds). E-Salud y cambio del modelo sanitario. Fundación Merck Salud, pages 309-328

Black, M et al (2020), Towards a European health research and innovation cloud (HRIC). Genome Med 12, 18 (2020). https://doi.org/10.1186/s13073-020-0713-z.

Cleland, B., Wallace, J., Bond, R., Black, M., Mulvenna, M., Rankin, D., & Tanney, A. (2018). Insights into Antidepressant Prescribing Using Open Health Data. Big Data Research.

Sánchez, R. Á., Iraola, A. B., Unanue, G. E., & Carlin, P. (2018). TAQIH, a tool for tabular data quality assessment and improvement in the context of health data. Computer methods and programs in biomedicine.

Boilson, A., Staines, A., Connolly, R., Davis, P., Connolly, J., & Weston, D. (2019). Logic Model Early Stage Evaluation of a European Public Health Data Analytic Framework. Journal Informatics, Special Issue.

Boilson, A., Connolly, R., Staines, A., Davis, P., Connolly, J., Weston, D. (2019). Improving European Healthcare Systems through the Development of a Realist Evaluation Framework for a European Public Health Data Analytic Project. Biomed Central (BMC) Implementation Science Journal.

Boilson, A., Staines, A., Connolly, J., Connolly, R., Davis, P., Weston, D. (2019). Qualitative Evaluation of a Multi-Level Framework of Technology Acceptance & Use for a European Health Data Analytic Platform. International Journal of Informatics.

Staines, A., Gauttier, S., Connolly, R., Davis, P., Connolly, J., Weston, D., Boilson, A. (2019). Q-Method and the Bootstrap – Visualizations. The International Journal of Q Methodology

Boilson, A. Gauttier, S., Connolly, R., Davis, P., Connolly, J., Weston, D., Staines, A. (2019). Application of Q-Methodology & Mixed Methods Design to Explore the Utility of a Data Analytic Framework. Journal of the Operational Research Society

Epelde, G., Beristain, A., Álvarez, R., Arrúe, M., Ezkerra, I., Belar, O., Bilbao, R., Nikolic, G., Shi, X., De Moor, B., & Mulvenna, M. (2020). Quality of data measurements in the Big Data era—Lessons learned from MIDAS project. IEEE Instrumentation & Measurement Magazine, 23. (Accepted for August 2020 issue (presumably 23(4)) and waiting for final production version)

Scientific publications in progress

Title	Lead Partner	Type	Status
MeSH News: a new classifier designed to annotate health news with MeSH headings	QUINT	Journal paper	Under review

Secure Web application architecture for sensitive data and closed networks	VTT	Journal paper	Under review
MIDAS Platform Architecture	KUL	Journal paper	Under development
Enhancing the interactive visualisation of a data preparation tool from in-memory fitting to Big Data sets	VICOM	Conference paper	Under development
An Ensemble-Based Feature Selection Method – A Case Study of Childhood Obesity	KUL	Conference paper	Under development

Conference Papers

Black, M., Wallace, J., Rankin, D., Carlin, P., Bond, R., Mulvenna, M., Cleland, B., Fischaber, S., Epelde, G., Nikolic, G., Pajula, J., Connolly, R. (2019). Meaningful Integration of Data, Analytics and Services of Computer-Based Medical Systems: The MIDAS Touch. 32nd IEEE CBMS International Symposium on Computer-Based Medical Systems

Boilson, A., Gauttier S., Connolly, R., Davis, P., Connolly, J., Weston, D., Staines, A. (2019). Q-Method Evaluation of a European Health Data Analytic End User Framework. ENTRENOVA Conference Proceedings.

Cleland, B., Wallace, J., Bond, R., Black, M., Mulvenna, M., Rankin, D., & Tanney, A. (2017, December). Towards the Integration of Prescription Analytics into Health Policy and General Practice. In International Conference on Innovative Techniques and Applications of Artificial Intelligence (pp. 193-206). Springer, Cham.

Connolly, J., Staines, A., Connolly, R., Davis, P. (2018) Using Big Data to Transform Health: The Importance of Evaluation Frameworks Irish Academy of Management Annual Conference Cork, , 03-SEP-18 – 05-SEP-18

Connolly, J., Staines, A., Connolly, R., Boilson, A., Davis, P., Weston, D., & Bloodworth, N. (2018, September). Evaluating Impact of an Emerging Big Health Data Platform: A Logic Model and Q-Methodology Approach. In 2018 ENTRENOVA Conference Proceedings.

Costa, J.P., Fuart, F., Grobelnik, M., Leban, G., Stopar, L., Carlin, P. (2017) Text mining open datasets to support public health. WITS 2017

Costa, J.P., Fuart, F., Grobelnik, M., Leban, G., Stopar, L., Carlin, P. Text mining tools to explore the news in the context of public health. Slovenian Conference on Data Mining and Data Warehouses (SIKDD 2017)

Costa, J.P., Škraba, P., Paolotti, D., Mexia, R. (2018). A topological data analysis approach to Influenza-like-illness. KDD Healthday 2018.

Costa, J.P., Stopar, L. Fuart, F., Grobelnik, M., Santanam, R., Lu,C. , Carlin, P., Black, M., Wallace, J. (2018). Mining MEDLINE for the visualisation of a global perspective on biomedical knowledge. KDD Project Showcase 2018.

Costa, J.P., Fuart, F., Grobelnik, M., Leban, G., L. Stopar, L., Carlin, P. (2017).  Text mining open datasets to support public health. Workshop on Information Technologies and Systems (WITS2017)

Costa, J.P., Fuart, F., Grobelnik, M., Leban, G., Košmerlj, A., and Belyaeva, E. (2018). Health news media, public health and digital epidemiology. Data and Algorithm Bias workshop at the CIKM conf. 2018.

Costa, J.P., Fuart, F., Stopar, L, Paolloti, D., Hirsch, M., Carlin, P., Mexia, R. (2019). Local-to-global analysis of influenza-like-illness data. SiKDD-2019.

Pita Costa, J.P., Fuart, F., Stopar, L., Grobelnik, M., Mladenić, D. (2019). Health News Bias and its impact in Public Health. SiKDD-2019.

Iivari, M., Gomes, J. F., Pikkarainen, M., Häikiö, J., & Ylén, P. (2017, June). Digitalisation of healthcare: Use of data in policy making. In ISPIM Innovation Symposium (p. 1). The International Society for Professional Innovation Management (ISPIM).

Pikkarainen, M., Iivari, M., Gomes, J. F., Ranta, J., Ylén, P., & Hurmelinna-Laukkanen, P. (2017). System dynamics modelling in policy level innovation orchestration. In ISPIM Conference Proceedings (pp. 1-14). The International Society for Professional Innovation Management (ISPIM).

Heyburn, R., Bond, R. R., Black, M., Mulvenna, M., Wallace, J., Rankin, D., & Cleland, B. (2018). Machine learning using synthetic and real data: Similarity of evaluation metrics for different healthcare datasets and for different algorithms. In Data Science and Knowledge Engineering for Sensing Decision Support (pp. 1281-1291).

Iivari, M., Pikkarainen, M., Francis Gomes, J., Ylen, P., Ranja, J. 2017. Advancing Open Innovation in Data-Driven Preventive Healthcare. The 4th World Open Innovation Conference (WOIC).

Johnston, V., Black, M., Wallace, J., Mulvenna, M., & Bond, R. (2019, September). A Framework for the Development of a Dynamic Adaptive Intelligent User Interface to Enhance the User Experience. In Proceedings of the 31st European Conference on Cognitive Ergonomics (pp. 32-35). ACM.

Poliwoda, P., Pajula, J. (2018) Peter Poliwoda, Juha Pajula. BOTter than the real thing, 2nd International Workshop on Opentech AI in Helsinki