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ORCIDJoao H. Bettencourt-Silva
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2020 – today
- 2024
[c16]Christos Theodoropoulos
, Joao H. Bettencourt-Silva:
Evaluating the Predictive Features of Person-Centric Knowledge Graph Embeddings: Unfolding Ablation Studies. MIE 2024: 575-579- [i4]Hakan Doga, M. Emre Sahin, Joao H. Bettencourt-Silva, Anh Pham, Eunyoung Kim, Alan Andress, Sudhir Saxena, Aritra Bose, Laxmi Parida, Jan Lukas Robertus, Hideaki Kawaguchi, Radwa Soliman, Daniel Blankenberg:
Towards quantum computing for clinical trial design and optimization: A perspective on new opportunities and challenges. CoRR abs/2404.13113 (2024) - [i3]Christos Theodoropoulos, Natasha Mulligan, Joao H. Bettencourt-Silva:
Evaluating the Predictive Features of Person-Centric Knowledge Graph Embeddings: Unfolding Ablation Studies. CoRR abs/2408.15294 (2024) - 2023
- [c15]Christos Theodoropoulos, Natalia Mulligan, Thaddeus S. Stappenbeck, Joao H. Bettencourt-Silva:
Representation Learning for Person or Entity-Centric Knowledge Graphs: An Application in Healthcare. K-CAP 2023: 225-233 - [c14]Alberto Purpura, Tobia Boschi, Francesca Bonin, Rodrigo Ordonez-Hurtado, Natasha Mulligan, Joao H. Bettencourt-Silva, Alessandra Pascale:
Automated Feature Selection from Medical Literature. MedInfo 2023: 1436-1437 - [i2]Christos Theodoropoulos, Natasha Mulligan, Thaddeus S. Stappenbeck, Joao H. Bettencourt-Silva:
Representation Learning for Person or Entity-centric Knowledge Graphs: An application in Healthcare. CoRR abs/2305.05640 (2023) - 2022
- [c13]Joao H. Bettencourt-Silva, Natalia Mulligan, Francesca Bonin, Pierpaolo Tommasi, Alessandra Pascale, Vanessa López:
Literature Knowledge Graphs for Risk Modeling: a use case on Diabetes. AMIA 2022 - [c12]Alberto Purpura, Francesca Bonin, Joao H. Bettencourt-Silva:
Accelerating the Discovery of Semantic Associations from Medical Literature: Mining Relations Between Diseases and Symptoms. EMNLP (Industry Track) 2022: 77-89 - 2021
- [c11]Yoonyoung Park, Natasha Mulligan, Martin Gleize, Morten Kristiansen, Joao H. Bettencourt-Silva:
Discovering Associations between Social Determinants and Health Outcomes: Merging Knowledge Graphs from Literature and Electronic Health Data. AMIA 2021 - [c10]Marco Luca Sbodio, Natasha Mulligan, Stefanie Speichert, Vanessa López, Joao H. Bettencourt-Silva:
Encoding Health Records into Pathway Representations for Deep Learning. EFMI-STC 2021: 8-12 - [c9]Martin Gleize, Natasha Mulligan, Alessandro Di Bari, Joao H. Bettencourt-Silva:
Social Determinant Trends of COVID-19: An Analysis Using Knowledge Graphs from Published Evidence and Online Trends. MIE 2021: 744-748 - [i1]Thanh Nguyen-Duc, Natasha Mulligan, Gurdeep S. Mannu, Joao H. Bettencourt-Silva:
Deep EHR Spotlight: a Framework and Mechanism to Highlight Events in Electronic Health Records for Explainable Predictions. CoRR abs/2103.14161 (2021) - 2020
- [c8]Joao H. Bettencourt-Silva, Natasha Mulligan, Charles Jochim, Nagesh Yadav, Walter Sedlazek, Vanessa López, Martin Gleize:
Exploring the Social Drivers of Health During a Pandemic: Leveraging Knowledge Graphs and Population Trends in COVID-19. EFMI-STC 2020: 6-11 - [c7]Joao H. Bettencourt-Silva, Natalia Mulligan, Marco Luca Sbodio, John Segrave-Daly, Richard Williams, Vanessa López, Carlos Alzate:
Discovering New Social Determinants of Health Concepts from Unstructured Data: Framework and Evaluation. MIE 2020: 173-177
2010 – 2019
- 2019
- [c6]Stefano Braghin, Joao H. Bettencourt-Silva, Killian Levacher, Spiros Antonatos:
An Extensible De-Identification Framework for Privacy Protection of Unstructured Health Information: Creating Sustainable Privacy Infrastructures. MedInfo 2019: 1140-1144 - 2018
- [c5]Joao H. Bettencourt-Silva, Natasha Mulligan, Conor Cullen, Spyros Kotoulas:
Bridging Clinical and Social Determinants of Health Using Unstructured Data. EFMI-STC 2018: 70-74 - [c4]Julie Doyle, Emma Murphy, Caoimhe Hannigan, Suzanne Smith, Joao H. Bettencourt-Silva, John Dinsmore:
Designing Digital Goal Support Systems for Multimorbidity Self-Management: Insights from Older Adults and their Care Network. PervasiveHealth 2018: 168-177 - 2017
- [c3]Vanessa López, Joao H. Bettencourt-Silva, Grace McCarthy, Natasha Mulligan, Fabrizio Cucci, Stéphane Deparis, Marco Luca Sbodio, Pierpaolo Tommasi, John Segrave-Daly, Conor Cullen, Ciaran Hennessy, Beth McKeon, Karie Kelly, Russell Olsen, John Dinsmore, Anne-Marie Brady, Nagesh Yadav, Spyros Kotoulas:
Note Highlights: Surfacing Relevant Concepts from Unstructured Notes for Health Professionals. ICHI 2017: 198-207 - [c2]Vanessa López, Grace McCarthy, Joao H. Bettencourt-Silva, Marco Luca Sbodio, Natasha Mulligan, Fabrizio Cucci, Stéphane Deparis, Ciaran Hennessy, Nagesh Yadav, Karie Kelly, Russell Olsen, Conor Cullen, Spyros Kotoulas:
Using Semantic Technologies to Extract Highlights from Care Notes. MedInfo 2017: 1331 - 2016
- [p1]Joao H. Bettencourt-Silva, Gurdeep S. Mannu, Beatriz de la Iglesia:
Visualisation of Integrated Patient-Centric Data as Pathways: Enhancing Electronic Medical Records in Clinical Practice. Machine Learning for Health Informatics 2016: 99-124 - 2015
- [c1]Aalaa Mojahed, Joao H. Bettencourt-Silva, Wenjia Wang, Beatriz de la Iglesia:
Applying Clustering Analysis to Heterogeneous Data Using Similarity Matrix Fusion (SMF). MLDM 2015: 251-265 - 2014
- [b1]Joao H. Bettencourt-Silva:
From data to knowledge in secondary health care databases. University of East Anglia, Norwich, UK, 2014
Coauthor Index
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