Effective Macrosomia Prediction Using Random Forest Algorithm

(1) Background: Macrosomia is prevalent in China and worldwide. The current method of predicting macrosomia is ultrasonography. We aimed to develop new predictive models for recognizing macrosomia using a random forest model to improve the sensitivity and specificity of macrosomia prediction; (2) Me...

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Detalles Bibliográficos
Autores principales: Wang, Fangyi, Wang, Yongchao, Ji, Xiaokang, Wang, Zhiping
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2022
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8951305/
https://www.ncbi.nlm.nih.gov/pubmed/35328934
http://dx.doi.org/10.3390/ijerph19063245

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8951305/
https://www.ncbi.nlm.nih.gov/pubmed/35328934
http://dx.doi.org/10.3390/ijerph19063245

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