GA parameters and objective function.

<div><p>Machine learning has increasingly gained prominence in the healthcare sector due to its ability to address various challenges. However, a significant issue remains unresolved in this field: the handling of imbalanced data. This process is crucial for ensuring the efficiency of al...

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التفاصيل البيبلوغرافية
المؤلف الرئيسي:	André G. Coimbra (21354135) (author)
مؤلفون آخرون:	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)
منشور في:	2025
الموضوعات:	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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GA parameters and objective function.

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