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; et al. (ICHI, 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; et al. (MedInfo, 2017)

Bridging Clinical and Social Determinants of Health Using Unstructured Data. - Joao H. Bettencourt-Silva; Natasha Mulligan; Conor Cullen; Spyros Kotoulas (EFMI-STC, 2018)

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 (EFMI-STC, 2020)

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 (AMIA, 2021)

Encoding Health Records into Pathway Representations for Deep Learning. - Marco Luca Sbodio; Natasha Mulligan; Stefanie Speichert; Vanessa López; Joao H. Bettencourt-Silva (EFMI-STC, 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 (MIE, 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)

Automated Feature Selection from Medical Literature. - Alberto Purpura; Tobia Boschi; Francesca Bonin; Rodrigo Ordonez-Hurtado; Natasha Mulligan; Joao H. Bettencourt-Silva; Alessandra Pascale (MedInfo, 2023)

Representation Learning for Person or Entity-centric Knowledge Graphs: An application in Healthcare. - Christos Theodoropoulos 001; Natasha Mulligan; Thaddeus S. Stappenbeck; Joao H. Bettencourt-Silva (CoRR, 2023)

Evaluating the Predictive Features of Person-Centric Knowledge Graph Embeddings: Unfolding Ablation Studies. - Christos Theodoropoulos 001; Natasha Mulligan; Joao H. Bettencourt-Silva (CoRR, 2024)

Enhancing foundation models for scientific discovery via multimodal knowledge graph representations. - 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 (J. Web Semant., 2025)