Joao H. Bettencourt-Silva

25 papers B 1Misc 2Journal 6Unranked 14

Year	Rank	Type	Title / Venue / Authors
2025	J	`jnl`	Enhancing foundation models for scientific discovery via multimodal knowledge graph representations. J. Web Semant. Vanessa López, Thanh Lam Hoang, Marcos Martínez Galindo, Raúl Fernández-Díaz, Marco Luca Sbodio, Rodrigo Ordonez-Hurtado, Mykhaylo Zayats, Natasha Mulligan, Joao H. Bettencourt-Silva
2025	—	`conf`	Query-driven Document-level Scientific Evidence Extraction from Biomedical Studies. ACL (1) Massimiliano Pronesti, Joao H. Bettencourt-Silva, Paul Flanagan, Alessandra Pascale, Oisin Redmond, Anya Belz, Yufang Hou
2025	J	`jnl`	Query-driven Document-level Scientific Evidence Extraction from Biomedical Studies. CoRR Massimiliano Pronesti, Joao H. Bettencourt-Silva, Paul Flanagan, Alessandra Pascale, Oisin Redmond, Anya Belz, Yufang Hou
2024	—	`conf`	Evaluating the Predictive Features of Person-Centric Knowledge Graph Embeddings: Unfolding Ablation Studies. MIE Christos Theodoropoulos, Joao H. Bettencourt-Silva
2024	J	`jnl`	Evaluating the Predictive Features of Person-Centric Knowledge Graph Embeddings: Unfolding Ablation Studies. CoRR Christos Theodoropoulos, Natasha Mulligan, Joao H. Bettencourt-Silva
2024	J	`jnl`	Towards quantum computing for clinical trial design and optimization: A perspective on new opportunities and challenges. CoRR Hakan Doga, Mustafa 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
2023	—	`conf`	Automated Feature Selection from Medical Literature. MedInfo Alberto Purpura, Tobia Boschi, Francesca Bonin, Rodrigo Ordonez-Hurtado, Natasha Mulligan, Joao H. Bettencourt-Silva, Alessandra Pascale
2023	B	`conf`	Representation Learning for Person or Entity-Centric Knowledge Graphs: An Application in Healthcare. K-CAP Christos Theodoropoulos, Natalia Mulligan, Thaddeus S. Stappenbeck, Joao H. Bettencourt-Silva
2023	J	`jnl`	Representation Learning for Person or Entity-centric Knowledge Graphs: An application in Healthcare. CoRR Christos Theodoropoulos, Natasha Mulligan, Thaddeus S. Stappenbeck, Joao H. Bettencourt-Silva
2022	—	`conf`	Accelerating the Discovery of Semantic Associations from Medical Literature: Mining Relations Between Diseases and Symptoms. EMNLP (Industry Track) Alberto Purpura, Francesca Bonin, Joao H. Bettencourt-Silva
2022	Misc	`conf`	Literature Knowledge Graphs for Risk Modeling: a use case on Diabetes. AMIA Joao H. Bettencourt-Silva, Natalia Mulligan, Francesca Bonin, Pierpaolo Tommasi, Alessandra Pascale, Vanessa López
2021	J	`jnl`	Deep EHR Spotlight: a Framework and Mechanism to Highlight Events in Electronic Health Records for Explainable Predictions. CoRR Thanh Nguyen-Duc, Natasha Mulligan, Gurdeep S. Mannu, Joao H. Bettencourt-Silva
2021	Misc	`conf`	Discovering Associations between Social Determinants and Health Outcomes: Merging Knowledge Graphs from Literature and Electronic Health Data. AMIA Yoonyoung Park, Natasha Mulligan, Martin Gleize, Morten Kristiansen, Joao H. Bettencourt-Silva
2021	—	`conf`	Encoding Health Records into Pathway Representations for Deep Learning. EFMI-STC Marco Luca Sbodio, Natasha Mulligan, Stefanie Speichert, Vanessa López, Joao H. Bettencourt-Silva
2021	—	`conf`	Social Determinant Trends of COVID-19: An Analysis Using Knowledge Graphs from Published Evidence and Online Trends. MIE Martin Gleize, Natasha Mulligan, Alessandro Di Bari, Joao H. Bettencourt-Silva
2020	—	`conf`	Discovering New Social Determinants of Health Concepts from Unstructured Data: Framework and Evaluation. MIE Joao H. Bettencourt-Silva, Natalia Mulligan, Marco Luca Sbodio, John Segrave-Daly, Richard Williams, Vanessa López, Carlos Alzate
2020	—	`conf`	Exploring the Social Drivers of Health During a Pandemic: Leveraging Knowledge Graphs and Population Trends in COVID-19. EFMI-STC Joao H. Bettencourt-Silva, Natasha Mulligan, Charles Jochim, Nagesh Yadav, Walter Sedlazek, Vanessa López, Martin Gleize
2019	—	`conf`	An Extensible De-Identification Framework for Privacy Protection of Unstructured Health Information: Creating Sustainable Privacy Infrastructures. MedInfo Stefano Braghin, Joao H. Bettencourt-Silva, Killian Levacher, Spiros Antonatos
2018	—	`conf`	Bridging Clinical and Social Determinants of Health Using Unstructured Data. EFMI-STC Joao H. Bettencourt-Silva, Natasha Mulligan, Conor Cullen, Spyros Kotoulas
2018	—	`conf`	Designing Digital Goal Support Systems for Multimorbidity Self-Management: Insights from Older Adults and their Care Network. PervasiveHealth Julie Doyle, Emma Murphy, Caoimhe Hannigan, Suzanne Smith, Joao H. Bettencourt-Silva, John Dinsmore
2017	—	`conf`	Note Highlights: Surfacing Relevant Concepts from Unstructured Notes for Health Professionals. ICHI 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
2017	—	`conf`	Using Semantic Technologies to Extract Highlights from Care Notes. MedInfo 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
2016	—	`ch.`	Visualisation of Integrated Patient-Centric Data as Pathways: Enhancing Electronic Medical Records in Clinical Practice. Machine Learning for Health Informatics Joao H. Bettencourt-Silva, Gurdeep S. Mannu, Beatriz de la Iglesia
2015	—	`conf`	Applying Clustering Analysis to Heterogeneous Data Using Similarity Matrix Fusion (SMF). MLDM Aalaa Mojahed, Joao H. Bettencourt-Silva, Wenjia Wang, Beatriz de la Iglesia
2014	—	`—`	From data to knowledge in secondary health care databases. Joao H. Bettencourt-Silva