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Fig. 3 | BMC Medical Informatics and Decision Making

Fig. 3

From: Exploring parental factors influencing low birth weight on the 2022 CDC natality dataset

Fig. 3

Feature importance for the XGBoost model. The top ten predictors identified as most relevant for birth weight predictions were weight gain (WTGAIN), number of prenatal care visits (PREVIS_REC), number of previous living births (PRIORLIVE), pre-pregnancy weight (PWgt_R), BMI, month prenatal care began (PRECARE), parental age (MAGER and FAGECOMB), maternal height (M_Ht_in), BMI, mothers who were born in the US

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