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🤰🧪 Beta-hCG test demand forecasting using stacking ensemble-learning and machine learning approaches

Ramon Gomes da Silva ORCID iD icon, Valeria Tafoya-Martinez, Fernanda D. Silva, Milena A. Cardoso, Evair B. Severo, Carolina Q. Cardoso, Matheus H. D. M. Ribeiro, Viviana C. Mariani, and Leandro S. Coelho

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How to cite this paper

@inproceedings{dasilva_beta_2023,
 address = {Cham},
 author = {{da Silva}, Ramon Gomes and Tafoya-Martinez, Valeria and Silva, Fernanda D'amico and Cardoso, Milena Andreuzo and Severo, Evair Borges and Cardoso, Carolina Queiroz and Ribeiro, Matheus Henrique Dal Molin and Mariani, Viviana Cocco and Coelho, Leandro Santos},
 editor = {Deschamps, Fernando and Pinheiro de Lima, Edson and Gouv{\^e}a da Costa, S{\'e}rgio E. and G. Trentin, Marcelo},
 booktitle = {Proceedings of the 11th International Conference on Production Research -- Americas},
 publisher = {Springer Nature Switzerland},
 title = {Beta-hCG test demand forecasting using stacking ensemble-learning and machine learning approaches},
 doi = {10.1007/978-3-031-36121-0_34},
 year = {2023},
 pages = {274--280},
 isbn = {978-3-031-36121-0}
}

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