Joao H. Bettencourt-Silva

According to our database, Joao H. Bettencourt-Silva authored at least 19 papers between 2014 and 2023.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2023

Representation Learning for Person or Entity-centric Knowledge Graphs: An application in Healthcare.

Christos Theodoropoulos, Natasha Mulligan, Thaddeus S. Stappenbeck, Joao H. Bettencourt-Silva

CoRR, 2023

Automated Feature Selection from Medical Literature.

Alberto Purpura, Tobia Boschi, Francesca Bonin, Rodrigo Ordonez-Hurtado, Natasha Mulligan, Joao H. Bettencourt-Silva, Alessandra Pascale

Proceedings of the MEDINFO 2023 - The Future Is Accessible, 2023

Representation Learning for Person or Entity-Centric Knowledge Graphs: An Application in Healthcare.

Christos Theodoropoulos, Natalia Mulligan, Thaddeus S. Stappenbeck, Joao H. Bettencourt-Silva

Proceedings of the 12th Knowledge Capture Conference 2023, 2023

2022

Accelerating the Discovery of Semantic Associations from Medical Literature: Mining Relations Between Diseases and Symptoms.

Alberto Purpura, Francesca Bonin, Joao H. Bettencourt-Silva

Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing: EMNLP 2022 - Industry Track, Abu Dhabi, UAE, December 7, 2022

Literature Knowledge Graphs for Risk Modeling: a use case on Diabetes.

Joao H. Bettencourt-Silva, Natalia Mulligan, Francesca Bonin, Pierpaolo Tommasi, Alessandra Pascale, Vanessa López

Proceedings of the AMIA 2022, 2022

2021

Deep EHR Spotlight: a Framework and Mechanism to Highlight Events in Electronic Health Records for Explainable Predictions.

Thanh Nguyen-Duc, Natasha Mulligan, Gurdeep S. Mannu, Joao H. Bettencourt-Silva

CoRR, 2021

Social Determinant Trends of COVID-19: An Analysis Using Knowledge Graphs from Published Evidence and Online Trends.

Martin Gleize, Natasha Mulligan, Alessandro Di Bari, Joao H. Bettencourt-Silva

Proceedings of the Public Health and Informatics, 2021

Encoding Health Records into Pathway Representations for Deep Learning.

Marco Luca Sbodio, Natasha Mulligan, Stefanie Speichert, Vanessa López, Joao H. Bettencourt-Silva

Proceedings of the Applying the FAIR Principles to Accelerate Health Research in Europe in the Post COVID-19 Era, 2021

Discovering Associations between Social Determinants and Health Outcomes: Merging Knowledge Graphs from Literature and Electronic Health Data.

Yoonyoung Park, Natasha Mulligan, Martin Gleize, Morten Kristiansen, Joao H. Bettencourt-Silva

Proceedings of the AMIA 2021, American Medical Informatics Association Annual Symposium, San Diego, CA, USA, October 30, 2021, 2021

2020

Discovering New Social Determinants of Health Concepts from Unstructured Data: Framework and Evaluation.

Joao H. Bettencourt-Silva, Natalia Mulligan, Marco Luca Sbodio, John Segrave-Daly, Richard Williams, Vanessa López, Carlos Alzate

Proceedings of the Digital Personalized Health and Medicine - Proceedings of MIE 2020, Medical Informatics Europe, Geneva, Switzerland, April 28, 2020

Exploring the Social Drivers of Health During a Pandemic: Leveraging Knowledge Graphs and Population Trends in COVID-19.

Joao H. Bettencourt-Silva, Natasha Mulligan, Charles Jochim, Nagesh Yadav, Walter Sedlazek, Vanessa López, Martin Gleize

Proceedings of the Integrated Citizen Centered Digital Health and Social Care - Citizens as Data Producers and Service co-Creators, 2020

2019

An Extensible De-Identification Framework for Privacy Protection of Unstructured Health Information: Creating Sustainable Privacy Infrastructures.

Stefano Braghin, Joao H. Bettencourt-Silva, Killian Levacher, Spiros Antonatos

Proceedings of the MEDINFO 2019: Health and Wellbeing e-Networks for All, 2019

2018

Designing Digital Goal Support Systems for Multimorbidity Self-Management: Insights from Older Adults and their Care Network.

Julie Doyle, Emma Murphy, Caoimhe Hannigan, Suzanne Smith, Joao H. Bettencourt-Silva, John Dinsmore

Proceedings of the 12th EAI International Conference on Pervasive Computing Technologies for Healthcare, 2018

Bridging Clinical and Social Determinants of Health Using Unstructured Data.

Joao H. Bettencourt-Silva, Natasha Mulligan, Conor Cullen, Spyros Kotoulas

Proceedings of the Decision Support Systems and Education, 2018

2017

Using Semantic Technologies to Extract Highlights from Care Notes.

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

Proceedings of the MEDINFO 2017: Precision Healthcare through Informatics, 2017

Note Highlights: Surfacing Relevant Concepts from Unstructured Notes for Health Professionals.

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

Proceedings of the 2017 IEEE International Conference on Healthcare Informatics, 2017

2016

Visualisation of Integrated Patient-Centric Data as Pathways: Enhancing Electronic Medical Records in Clinical Practice.

Joao H. Bettencourt-Silva, Gurdeep S. Mannu, Beatriz de la Iglesia

Proceedings of the Machine Learning for Health Informatics, 2016

2015

Applying Clustering Analysis to Heterogeneous Data Using Similarity Matrix Fusion (SMF).

Aalaa Mojahed, Joao H. Bettencourt-Silva, Wenjia Wang, Beatriz de la Iglesia

Proceedings of the Machine Learning and Data Mining in Pattern Recognition, 2015

2014

From data to knowledge in secondary health care databases.

Joao H. Bettencourt-Silva

PhD thesis, 2014