Multimodal Prediction of Five-Year Breast Cancer Recurrence in Women Who Receive Neoadjuvant Chemotherapy
Rabinovici-Cohen, S.; Fernández, X.M.; Grandal Rejo, B.; Hexter, E.; Hijano Cubelos, O.; Pajula, J.; Pölönen, H.; Reyal, F.; Rosen-Zvi, M. Multimodal Prediction of Five-Year Breast Cancer Recurrence in Women Who Receive Neoadjuvant Chemotherapy. Cancers 2022, 14, 3848. https://doi.org/10.3390/cancers14163848
Early prediction of metastasis in women with locally advanced breast cancer
Simona Rabinovici-Cohen, Tal Tlusty, Xosé M. Fernández, Beatriz Grandal Rejo, “Early prediction of metastasis in women with locally advanced breast cancer,” Proc. SPIE 12033, Medical Imaging 2022: Computer-Aided Diagnosis, 120330F (4 April 2022); https://doi.org/10.1117/12.2613169
Healthcare Innovation Keeping the Focus on Patients
de Bont, A. & DeVol, C. (Hosts). (2022, January 26). Healthcare Innovation Keeping the Focus on Patients [Audio podcast episode]. Projectified® Podcast. Project Management Institute. https://www.pmi.org/learning/training-development/projectified-podcast/podcasts/healthcare-innovation-keeping-the-focus-on-patients
Real-World Data of Anticoagulant Treatment in Non-valvular Atrial Fibrillation
Calderon, J. M., Martinez, F., Diaz, J., Fernandez, A., Sauri, I., Uso, R., Trillo, J. L., Vela, S., Bea, C., Redon, J., & Forner, M. J. (2022). Real-World Data of Anticoagulant Treatment in Non-valvular Atrial Fibrillation. Frontiers in Cardiovascular Medicine, 8. https://doi.org/10.3389/fcvm.2021.733300
Why Personal Dreams Matter: How professionals affectively engage with the promises surrounding data-driven healthcare in Europe
Stevens, M., Wehrens, R., Kostenzer, J., Weggelaar-Jansen, A. M., & de Bont, A. (2022). Why Personal Dreams Matter: How professionals affectively engage with the promises surrounding data-driven healthcare in Europe. Big Data & Society. https://doi.org/10.1177/20539517211070698
Ethics as discursive work: The role of ethical framing in the promissory future of data-driven healthcare technologies
Wehrens, R., Stevens, M., Kostenzer, J., Weggelaar, A. M., & de Bont, A. (2021). Ethics as Discursive Work: The Role of Ethical Framing in the Promissory Future of Data-driven Healthcare Technologies. Science, Technology, & Human Values. https://doi.org/10.1177/01622439211053661
Prediction of Five-Year Breast Cancer Recurrence in Women Treated with Neoadjuvant Chemotherapy
Rabinovici-Cohen S., Fernández X., Grandal Rejo B., Hexter E., Hijano Cubelos O., Pajula J., Pölönen H., Reyal F., Rosen-Zvi M., “Prediction of Five-Year Breast Cancer Recurrence in Women Treated with Neoadjuvant Chemotherapy”, AMIA Annual Symposium Proceedings 2021.
Posters of the BigMedilytics final event “Big Data & AI: Actionable Insights Transforming European Healthcare”, 13th and 14th September, 2021
Privacy-preserving dataset combination and Lasso regression for healthcare predictions
van Egmond, M.B., Spini, G., van der Galien, O. et al. Privacy-preserving dataset combination and Lasso regression for healthcare predictions. BMC Med Inform Decis Mak 21, 266 (2021). https://doi.org/10.1186/s12911-021-01582-y
The caregiver as object d’ art in workflow monitoring, studies and management information: a management, ethical and practical high wire act?
Ottevanger DG1, Hana A, Paulussen IWF1,4, van Tuijl JH3, Jansen B3, de Vormer A1, Leitão A4, Chatterjea S4, Noordergraaf GJ1,4. (13-14 September 2021). The caregiver as object d’ art in workflow monitoring, studies and management information: a management, ethical and practical high wire act? Big Data & AI: Actionable Insights Transforming European Healthcare, Best, Netherlands.
Timestamps results: it’s all in their (real) meaning. An initial overview, and analysis of a Big Data approach
Paulussen IWF, Hana A, van de Pas H, Dortangs E, Leitão A, Chatterjea S, Noordergraaf GJ. (13-14 September 2021). Timestamps results: it’s all in their (real) meaning. An initial overview, and analysis of a Big Data approach. Big Data & AI: Actionable Insights Transforming European Healthcare, Best, Netherlands.
Facets of integration of Real-Time Localization Systems (RTLS) in healthcare and business: Implementation, limitations and outcome (Initial results)
Hana A, van Tuijl JH, Jansen B, Callebaut F, Paulussen IWF, Leitão A, Chatterjea S, Noordergraaf GJ. (13-14 September 2021). Facets of integration of Real-Time Localization Systems (RTLS) in healthcare and business: Implementation, limitations and outcome (Initial results). Big Data & AI: Actionable Insights Transforming European Healthcare, Best, Netherlands.
Coping with the general data protection regulation; anonymization through multi-party computation technology
van Haaften, W., Sangers, A., Engers, T., Djafari, s. (29 February 2020). Coping with the general data protection regulation; anonymization through multi-party computation technology. 23rd International Legal Informatics Symposium, Salzburg, Austria.
FuseMedML Open Source: https://github.com/IBM/fuse-med-ml
@misc{https://doi.org/10.5281/zenodo.5146491,
doi = {10.5281/ZENODO.5146491},
url = {https://zenodo.org/record/5146491},
author = {IBM Research, Haifa},
title = {FuseMedML: https://github.com/IBM/fuse-med-ml},
publisher = {Zenodo},
year = {2021},
copyright = {Apache License 2.0}
}
Heart failure and promotion of physical activity before and after cardiac rehabilitation (HF-aPProACH): a study protocol
2021) Heart failure and promotion of physical activity before and after cardiac rehabilitation (HF-aPProACH): a study protocol. ESC Heart Failure, https://doi.org/10.1002/ehf2.13505.
, , , , , , , , , , , , , and (Supervised Analysis for Phenotype Identification: The Case of Heart Failure Ejection Fraction Class
Lopez C, Holgado JL, Cortes R, Sauri I, Fernandez A, Calderon JM, Nuñez J, Redon J. Supervised Analysis for Phenotype Identification: The Case of Heart Failure Ejection Fraction Class. Bioengineering. 2021; 8(6):85. https://doi.org/10.3390/bioengineering8060085
Trust, but Verify: Informed Consent, AI Technologies, and Public Health Emergencies
Pickering, B. (2021). Trust, but Verify: Informed Consent, AI Technologies, and Public Health Emergencies. Future Internet, 13(5), 132. doi:10.3390/fi13050132
Trajectories of physical activity and sedentary behaviour during and after cardiac rehabilitation in patients with acute coronary syndrome
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
TBase – an Integrated Electronic Health Record and Research Database for Kidney Transplant Recipients
Schmidt, D., Osmanodja, B., Pfefferkorn, M., Graf, V., Raschke, D., Duettmann, W., Naik, M. G., Gethmann, C. J., Mayrdorfer, M., Halleck, F., Liefeldt, L., Glander, P., Staeck, O., Mallach, M., Peuker, M., Budde, K. TBase – an Integrated Electronic Health Record and Research Database for Kidney Transplant Recipients. J. Vis. Exp. (170), e61971, doi:10.3791/61971 (2021).
Digital Home-Monitoring of Patients after Kidney Transplantation: The MACCS Platform
Duettmann, W., Naik, M. G., Schmidt, D., Pfefferkorn, M., Kurz, M., Graf, V., Kreichgauer, A., Hoegl, S., Haenska, M., Gielsdorf, T., Breitenstein, T., Osmanodja, B., Glander, P., Bakker, J., Mayrdorfer, M., Gethmann, C. J., Bachmann, F., Choi, M., Schrezenmeier, E., Zukunft, B., Halleck, F., Budde, K. Digital Home-Monitoring of Patients after Kidney Transplantation: The MACCS Platform. J. Vis. Exp. (170), e61899, doi:10.3791/61899 (2021).
Multimodal Prediction of Breast Cancer Relapse Prior to Neoadjuvant Chemotherapy Treatment
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
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. 2021, 11, 865. https://doi.org/10.3390/app11020865
Information Extraction Models for German Clinical Text
R. Roller et al., “Information Extraction Models for German Clinical Text,” 2020 IEEE International Conference on Healthcare Informatics (ICHI), 2020, pp. 1-2, doi: 10.1109/ICHI48887.2020.9374385.
(An extended version of this poster is expected in open access)
Impact of sex differences in co-morbidities and medication adherence on outcome in 25,776 heart failure patients
2020) Impact of sex differences in co‐morbidities and medication adherence on outcome in 25 776 heart failure patients. ESC Heart Failure, https://doi.org/10.1002/ehf2.13113.
, , , , , , , , and (eHealth in transplantation
Duettmann, W., Naik, M.G., Zukunft, B., Osmonodja, B., Bachmann, F., Choi, M., Roller, R., Mayrdorfer, M., Halleck, F., Schmidt, D. and Budde, K. (2021), eHealth in transplantation. Transpl. Int., 34: 16-26. https://doi.org/10.1111/tri.13778
Understanding the Uptake of Big Data in Health Care: Protocol for a Multinational Mixed-Methods Study
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
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
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
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
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
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
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
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
Poster about the Diabetes pilot presented at the Rotunda Hospital in Dublin.
Pilot 12: Radiology workflows
Poster at BigMedilytics event: “Big Data: Fueling the transformation of Europe’s Healthcare Sector”. September 4-5, 2019, Valencia, Spain
Pilot 11: Asset management
Poster at BigMedilytics event: “Big Data: Fueling the transformation of Europe’s Healthcare Sector”. September 4-5, 2019, Valencia, Spain
Pilot 10: Sepsis management
Poster at BigMedilytics event: “Big Data: Fueling the transformation of Europe’s Healthcare Sector”. September 4-5, 2019, Valencia, Spain
Pillot 9: Stroke management
Poster at BigMedilytics event: “Big Data: Fueling the transformation of Europe’s Healthcare Sector”. September 4-5, 2019, Valencia, Spain
Pillot 8: Breast cancer
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
Poster at BigMedilytics event: “Big Data: Fueling the transformation of Europe’s Healthcare Sector”. September 4-5, 2019, Valencia, Spain
Pilot 6: Prostate cancer
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
Poster at BigMedilytics event: “Big Data: Fueling the transformation of Europe’s Healthcare Sector”. September 4-5, 2019, Valencia, Spain
Pilot 5: Heart failure
Poster at BigMedilytics event: “Big Data: Fueling the transformation of Europe’s Healthcare Sector”. September 4-5, 2019, Valencia, Spain
Pilot 4: COPD / Asthma
Poster at BigMedilytics event: “Big Data: Fueling the transformation of Europe’s Healthcare Sector”. September 4-5, 2019, Valencia, Spain
Pilot 3: Diabetes
Poster at BigMedilytics event: “Big Data: Fueling the transformation of Europe’s Healthcare Sector”. September 4-5, 2019, Valencia, Spain
Pilot 2: Kidney disease
Poster at BigMedilytics event: “Big Data: Fueling the transformation of Europe’s Healthcare Sector”. September 4-5, 2019, Valencia, Spain
Pilot 1: Comorbidities
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
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
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
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?
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
Data Science for Healthcare
Abedjan Z. et al. (2019) Data Science in Healthcare: Benefits, Challenges and Opportunities. In: Consoli S., Reforgiato Recupero D., Petković M. (eds) Data Science for Healthcare. Springer, Cham. https://doi.org/10.1007/978-3-030-05249-2_1
Enabling analytics on sensitive medical data with secure multi-party computation
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