Sandra Reis

A Machine Learning Trainable Model to Assess the Accuracy of Probabilistic Record Linkage

Spiros Denaxas, Robespierre Pita, Everton Mendonça, 2017, DaWaK.

A trainable model to assess the accuracy of probabilistic record linkage

Spiros Denaxas, Marcos Barreto, Robespierre Pita, 2017 .

Conditional Cash Transfer Program and Leprosy Incidence: Analysis of 12.9 Million Families From the 100 Million Brazilian Cohort

L. Smeeth, M. Barreto, L. Rodrigues, 2020, American journal of epidemiology.

CIDACS-RL: a novel indexing search and scoring-based record linkage system for huge datasets with high accuracy and scalability

Marcos E. Barreto, Liam Smeeth, Leila D. Amorim, 2020, BMC Medical Informatics and Decision Making.

Probabilistic Integration of Large Brazilian Socioeconomic and Clinical Databases

Spiros Denaxas, Marcos Barreto, Bruno Rodrigues De Araújo, 2017, 2017 IEEE 30th International Symposium on Computer-Based Medical Systems (CBMS).

On the Accuracy and Scalability of Probabilistic Data Linkage Over the Brazilian 114 Million Cohort

Spiros Denaxas, Robespierre Pita, Sandra Reis, 2018, IEEE Journal of Biomedical and Health Informatics.