Performance evaluation matrix: Five ML models (Base model: MLR) – Comparative performance metrics of six machine-learning algorithms in classifying complex multimorbidity clusters.

Performance evaluation matrix: Five ML models (Base model: MLR) – Comparative performance metrics of six machine-learning algorithms in classifying complex multimorbidity clusters.

<p>Performance evaluation matrix: Five ML models (Base model: MLR) – Comparative performance metrics of six machine-learning algorithms in classifying complex multimorbidity clusters.</p>

محفوظ في:

التفاصيل البيبلوغرافية
المؤلف الرئيسي:	Moumita Mukherjee (2325979) (author)
مؤلفون آخرون:	Samhita Mukherjee (22634212) (author), Hruthik Reddy Thokala (22634215) (author), Raja Hashim Ali (22634218) (author)
منشور في:	2025
الموضوعات:	Medicine Biotechnology Science Policy Environmental Sciences not elsewhere classified Biological Sciences not elsewhere classified Information Systems not elsewhere classified vegetable consumption patterns public health system permutation feature importance inform tailored interventions case providing evidence among various forms 800 &# 8211 physical health status physical activity status 4 cardiometabolic clusters key influencing factors 1 cardiovascular cluster mental health plays mental health conditions driven classification enables cardiovascular risk markers complex cardiometabolic clusters shaping multimorbidity clusters rf feature importance lca ), test current study aimed ml model pair socioeconomic status cardiometabolic disorders typical cluster protective factors model selection complex multimorbidity risk populations ml models integrating ml classification task accurate classification walking difficulty study used smoking habits shap values serious threat participants fall obese female machine learning individuals falling important features heart disease greater number generate insights f1 score critical role brfss 2015 applied lca
الوسوم:	إضافة وسم لا توجد وسوم, كن أول من يضع وسما على هذه التسجيلة!

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