Rodrigo Tertulino
PulseAugur coverage of Rodrigo Tertulino — every cluster mentioning Rodrigo Tertulino across labs, papers, and developer communities, ranked by signal.
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New pipeline enhances privacy and accuracy for clinical AI models
Researchers have developed a robust pipeline for differentially private federated learning on imbalanced clinical data, specifically for cardiovascular risk prediction. The pipeline integrates the SMOTETomek technique t…
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Federated Learning Strategies Compared for Clinical Mortality Prediction
Researchers have benchmarked several federated learning strategies for predicting in-hospital mortality using the MIMIC-IV dataset. The study found that FedProx performed best in terms of AUC-ROC and AUC-PR, outperformi…
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Federated Learning Framework Validated for Clinical Use with Differential Privacy
Researchers have validated the FedCVR framework for federated learning in real-world clinical settings, specifically for cardiovascular datasets. This framework demonstrated an ability to maintain clinical utility while…
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Machine learning model identifies socioeconomic level as key predictor of student performance
Researchers have developed a multi-level machine learning model to analyze student performance using microdata from Brazil's System of Assessment of Basic Education (SAEB). The study integrated data on student socioecon…