Correction: Integrating machine learning models and explainable AI to predict DTaP vaccine demand in rural primary care

Predicting polycystic ovary syndrome using statistical data integration and machine learning with low-cost information

Giullia B. de A. Maranhão, Wanessa W. L. Freitas, Beatriz A. de Miranda, Camila S. Lins, Renata M. C. R. de Souza

Abstract Matching is a research and application domain within machine learning and statistics that provides tools to aggregate, combine, or compare data from different sources, tables, or datasets based on common criteria. This work aims to investigate data matching process appli…Read more