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Una contribución-interpretable modelo de base de reglas de creencia para la predicción del riesgo de obesidad
Fanxu Wei1, Li Jiang2, Hailong Zhu1
1School of Computer Science and Information Engineering, Harbin Normal University, Harbin, China.
Un nuevo modelo de base de reglas de creencia de doble capa (DBRB-C) predice con precisión el riesgo de obesidad, identificando factores dietéticos clave. Este enfoque interpretable ayuda en intervenciones personalizadas y decisiones clínicas en endocrinología.
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