Publications

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

20/05/2021

Pickering, B. (2021). Trust, but Verify: Informed Consent, AI Technologies, and Public Health Emergencies. Future Internet13(5), 132. doi:10.3390/fi13050132

Trajectories of physical activity and sedentary behaviour during and after cardiac rehabilitation in patients with acute coronary syndrome

11/05/2021

M Limpens, HJG Van Den Berg – Emons, I Den Uijl, M Sunamura, T Voortman, E Boersma, N Ter Hoeve, Trajectories of physical activity and sedentary behaviour during and after cardiac rehabilitation in patients with acute coronary syndrome, European Journal of Preventive Cardiology, Volume 28, Issue Supplement_1, May 2021, zwab061.099, https://doi.org/10.1093/eurjpc/zwab061.099

Multimodal Prediction of Breast Cancer Relapse Prior to Neoadjuvant Chemotherapy Treatment

10/02/2021

Rabinovici-Cohen S., Abutbul A., Fernández X.M., Hijano Cubelos O., Perek S., Tlusty T. (2020) Multimodal Prediction of Breast Cancer Relapse Prior to Neoadjuvant Chemotherapy Treatment. In: Rekik I., Adeli E., Park S.H., Valdés Hernández M..C. (eds) Predictive Intelligence in Medicine. PRIME 2020. Lecture Notes in Computer Science, vol 12329. Springer, Cham. https://doi.org/10.1007/978-3-030-59354-4_18

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

01/02/2021

Solarte Pabón, O.; Torrente, M.; Provencio, M.; Rodríguez-Gonzalez, A.; Menasalvas, E. Integrating Speculation Detection and Deep Learning to Extract Lung Cancer Diagnosis from Clinical Notes. Appl. Sci. 202111, 865. https://doi.org/10.3390/app11020865

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

09/12/2020

Gürgöze, M. T.van der Galiën, O. P.Limpens, M. A. M.Roest, S.Hoekstra, R. C.IJpma, A. S.Brugts, J. J.Manintveld, O. C., and Boersma, E. (2020Impact of sex differences in co‐morbidities and medication adherence on outcome in 25 776 heart failure patientsESC Heart Failurehttps://doi.org/10.1002/ehf2.13113.

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

23/10/2020

Wehrens R, Sihag V, Sülz S, van Elten H, van Raaij E, de Bont A, Weggelaar-Jansen A. Understanding the Uptake of Big Data in Health Care: Protocol for a Multinational Mixed-Methods Study. JMIR Res Protoc 2020;9(10):e16779. Available from https://www.researchprotocols.org/2020/10/e16779 DOI: 10.2196/16779

Fuzzy Inference System for Risk Evaluation in Gestational Diabetes Mellitus

13/10/2020

C. Salort Sánchez et al., “Fuzzy Inference System for Risk Evaluation in Gestational Diabetes Mellitus,” 2019 IEEE 19th International Conference on Bioinformatics and Bioengineering (BIBE), Athens, Greece, 2019, pp. 947-952, doi: 10.1109/BIBE.2019.00177

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

28/07/2020

M. Scurti et al., “A Data-Driven Approach for Analyzing Healthcare Services Extracted from Clinical Records,” 2020 IEEE 33rd International Symposium on Computer-Based Medical Systems (CBMS), Rochester, MN, USA, 2020, pp. 193-196, doi: 10.1109/CBMS49503.2020.00044.

Recommendations for a secure access and exchange of health data in research projects

25/06/2020

Recommendations for a secure access and exchange of health data in research projects (infographic).

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

22/06/2020

Seiffe L, Marten O, Mikhailov M, Schmeier S, Möller s, Roller R. From Witch’s Shot to Music Making Bones – Resources for Medical Laymen to Technical Language and Vice Versa. Proceedings of The 12th Language Resources and Evaluation Conference, 2020, Page(s) 6185–6192. Available in: https://www.aclweb.org/anthology/2020.lrec-1.759/

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

15/06/2020

Lopez, C.; Holgado, J.L.; Fernandez, A.; Sauri, I.; Uso, R.; Trillo, J.L.; Vela, S.; Bea, C.; Nuñez, J.; Ferrer, A.; Gamez, J.; Ruiz, A.; Redon, J. Impact of Acute Hemoglobin Falls in Heart Failure Patients: A Population Study. J. Clin. Med. 2020, 9, 1869.

Radiomics for predicting response to neoadjuvant chemotherapy treatment in breast cancer

15/04/2020

Simona Rabinovici-Cohen, Tal Tlusty, Ami Abutbul, Kari Antila, Xosé Fernandez, Beatriz Grandal Rejo, Efrat Hexter, Oliver Hijano Cubelos, Abed Khateeb, Juha Pajula, and Shaked Perek “Radiomics for predicting response to neoadjuvant chemotherapy treatment in breast cancer”, Proc. SPIE 11318, Medical Imaging 2020: Imaging Informatics for Healthcare, Research, and Applications, 113181B (2 March 2020); https://doi.org/10.1117/12.2551374

Acute kidney injury in heart failure: a population study

18/02/2020

Holgado JL, Lopez C, Fernandez A, Sauri I, Uso R, Trillo JL et al. Acute kidney injury in heart failure: a population study. ESC Heart Failure [Internet]. 2020 Feb. Available from:https://onlinelibrary.wiley.com/doi/epdf/10.1002/ehf2.12595 doi: 10.1002/ehf2.12595

Poster about the Diabetes pilot presented at the Rotunda Hospital in Dublin

14/11/2019

Poster about the Diabetes pilot presented at the Rotunda Hospital in Dublin.

Pilot 12: Radiology workflows

06/10/2019

Poster at BigMedilytics event: “Big Data: Fueling the transformation of Europe’s Healthcare Sector”. September 4-5, 2019, Valencia, Spain

Pilot 11: Asset management

05/10/2019

Poster at BigMedilytics event: “Big Data: Fueling the transformation of Europe’s Healthcare Sector”. September 4-5, 2019, Valencia, Spain

Pilot 10: Sepsis management

04/10/2019

Poster at BigMedilytics event: “Big Data: Fueling the transformation of Europe’s Healthcare Sector”. September 4-5, 2019, Valencia, Spain

Pillot 9: Stroke management

04/10/2019

Poster at BigMedilytics event: “Big Data: Fueling the transformation of Europe’s Healthcare Sector”. September 4-5, 2019, Valencia, Spain

Pillot 8: Breast cancer

04/10/2019

Poster at the BigMedilytics event: “Big Data: Fueling the transformation of Europe’s Healthcare Sector”. September 4-5, 2019, Valencia, Spain

Pilot 7: Lung cancer

04/10/2019

Poster at BigMedilytics event: “Big Data: Fueling the transformation of Europe’s Healthcare Sector”. September 4-5, 2019, Valencia, Spain

Pilot 6: Prostate cancer

04/10/2019

Poster at BigMedilytics event: “Big Data: Fueling the transformation of Europe’s Healthcare Sector”. September 4-5, 2019, Valencia, Spain

Pilot 5: Heart failure MPC

04/10/2019

Poster at BigMedilytics event: “Big Data: Fueling the transformation of Europe’s Healthcare Sector”. September 4-5, 2019, Valencia, Spain

Pilot 5: Heart failure

04/10/2019

Poster at BigMedilytics event: “Big Data: Fueling the transformation of Europe’s Healthcare Sector”. September 4-5, 2019, Valencia, Spain

Pilot 4: COPD / Asthma

04/10/2019

Poster at BigMedilytics event: “Big Data: Fueling the transformation of Europe’s Healthcare Sector”. September 4-5, 2019, Valencia, Spain

Pilot 3: Diabetes

04/10/2019

Poster at BigMedilytics event: “Big Data: Fueling the transformation of Europe’s Healthcare Sector”. September 4-5, 2019, Valencia, Spain

Pilot 2: Kidney disease

04/10/2019

Poster at BigMedilytics event: “Big Data: Fueling the transformation of Europe’s Healthcare Sector”. September 4-5, 2019, Valencia, Spain

Pilot 1: Comorbidities

30/09/2019

Poster at BigMedilytics event: “Big Data: Fueling the transformation of Europe’s Healthcare Sector”. September 4-5, 2019, Valencia, Spain

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

31/08/2019

Rethmeier N, Plank B. MoRTy: Unsupervised Learning of Task-specialized Word Embeddings by Autoencoding. Proceedings of the 4th Workshop on Representation Learning for NLP (RepL4NLP-2019), 2019, Page(s) 49-54. DOI: 10.18653/v1/w19-4307

Exploring Diachronic Changes of Biomedical Knowledge using Distributed Concept Representations

31/08/2019

Vashisth G, Voigt-Antons J-N, Mikhailov M, Roller R. Exploring Diachronic Changes of Biomedical Knowledge using Distributed Concept Representations. Proceedings of the 18th BioNLP Workshop and Shared Task, 2019, Page(s) 348-358. DOI: 10.18653/v1/w19-5037

Knowledge Distillation from Machine Learning Models for Prediction of Hemodialysis Outcome

30/06/2019

Freitas da Cruz, H., Horschig, S., Nusshag, C., Schapranow, M.-P. (2019). Knowledge Distillation from Machine Learning Models for Prediction of Hemodialysis Outcomes. International Journal On Advances in Life Sciences, 11 (12), 33-43.

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

30/05/2019

da Cruz H.F., Pfahringer B., Schneider F., Meyer A., Schapranow MP. (2019) External Validation of a “Black-Box” Clinical Predictive Model in Nephrology: Can Interpretability Methods Help Illuminate Performance Differences? In: Riaño D., Wilk S., ten Teije A. (eds) Artificial Intelligence in Medicine. AIME 2019. Lecture Notes in Computer Science, vol 11526. Springer, Cham

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

21/10/2018

Veeningen M, Chatterjea S, Horváth AZ, Spindler G, Boersma E, van der Spek P, van der Galiën O, Gutteling J, Kraaij W, Veugen T. Enabling analytics on sensitive medical data with secure multi-party computation. Stud Health Technol Inform. 2018;247:76-80. doi:10.3233/978-1-61499-852-5-76

Deep Learning in Information Security

13/09/2018

Thaler S, Menkovski V, Petkovic M. Deep Learning in Information Security.