Author of the publication

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

, , , , , , , , , , , , and . BMC Medical Informatics Decis. Mak., 20 (1): 289 (2020)

Please choose a person to relate this publication to

To differ between persons with the same name, the academic degree and the title of an important publication will be displayed. You can also use the button next to the name to display some publications already assigned to the person.

 

Other publications of authors with the same name

K-Fact: Using the Frequency Factor for Clustering Categorical Data., , , , , and . BRACIS, page 616-621. IEEE, (2019)Probabilistic Integration of Large Brazilian Socioeconomic and Clinical Databases., , , , , , , , , and 3 other author(s). CBMS, page 515-520. IEEE Computer Society, (2017)Examining the quality of record linkage process using nationwide Brazilian administrative databases to build a large birth cohort., , , , , , , , , and . BMC Medical Informatics Decis. Mak., 20 (1): 173 (2020)CIDACS-RL: a novel indexing search and scoring-based record linkage system for huge datasets with high accuracy and scalability., , , , , , , , , and 3 other author(s). BMC Medical Informatics Decis. Mak., 20 (1): 289 (2020)Example datasets for AtyImo (Spark version)., , , and . (May 2022)Applying Term Frequency-Based Indexing to Improve Scalability and Accuracy of Probabilistic Data Linkage., , and . LADaS@VLDB, volume 2170 of CEUR Workshop Proceedings, page 65-72. CEUR-WS.org, (2018)Correlação Probabilística de Bancos de Dados Governamentais., , , , and . SBBD, page 77-88. SBC, (2015)On the Accuracy and Scalability of Probabilistic Data Linkage Over the Brazilian 114 Million Cohort., , , , , , , , and . IEEE J. Biomed. Health Informatics, 22 (2): 346-353 (2018)A Spark-based Workflow for Probabilistic Record Linkage of Healthcare Data., , , , , and . EDBT/ICDT Workshops, volume 1330 of CEUR Workshop Proceedings, page 17-26. CEUR-WS.org, (2015)A Machine Learning Trainable Model to Assess the Accuracy of Probabilistic Record Linkage., , , , and . DaWaK, volume 10440 of Lecture Notes in Computer Science, page 214-227. Springer, (2017)