Graduate Thesis Or Dissertation
 

An ensemble method for macrosoma prediction

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https://ir.library.oregonstate.edu/concern/graduate_thesis_or_dissertations/g732dc60b

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  • Macrosomia is a medical term describing a new baby born with an excessive birth weight (greater than 4000g). Fetal macrosomia may lead to both pregnancy complications, and increased risk of mother's and baby's health problems after birth. But the potential complications may be mitigated by a cesarean delivery. As such, predicting newborn birth weight becomes a significant public health concern. Researchers have introduced a variety of formulas that can be used to estimate the weight of a fetus based on various sonographic measurements of the fetus. Previous studies have considered using such forumlas to make birth weight prediction based on ultrasound measurements at a single gestational time, or at multiple gestational times. The results vary when using different formulas and there is no clear consensus about which formula is the best to use. To take advantage of the availability of the different formulas and their respective power, we build one mixed-effect linear model using each available formula and then combine their prediction using a stacking model. Our result provides evidence that the ensemble method combining with the mixed-effect linear model can improve the predictive performance.
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