Comparison of the results achieved by the algorithm with the best F2 score against the results presented in [9].

Comparison of the results achieved by the algorithm with the best F2 score against the results presented in [<a href="http://www.plosone.org/article/info:doi/10.1371/journal.pone.0320966#pone.0320966.ref009" target="_blank">9</a>]....

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Bibliographic Details
Main Author:	André G. Coimbra (21354135) (author)
Other Authors:	Cleiane G. Oliveira (21354138) (author), Matheus P. Libório (21354141) (author), Hasheem Mannan (162964) (author), Laercio I. Santos (21354144) (author), Elisa Fusco (21354147) (author), Marcos F.S.V. D’Angelo (21354150) (author)
Published:	2025
Subjects:	Science Policy Biological Sciences not elsewhere classified Mathematical Sciences not elsewhere classified Information Systems not elsewhere classified particle swarm optimization increasingly gained prominence allocate available resources address various challenges reduce healthcare costs healthcare sector due new approach based utilize classification techniques handling imbalanced data imbalanced data healthcare field techniques aims study conducts stroke prediction specifically focusing risk management real problem patient health naive bayes machine learning comparative analysis classification algorithms chagas disease case study
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Comparison of the results achieved by the algorithm with the best <i>F</i>2 score against the results presented in [9].

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