Identification of latent risk clinical attributes for children born under IUGR condition using machine learning techniques

SN Van, JAL Marques, TA Biala, Y Li - Computer methods and programs in …, 2021 - Elsevier
Abstract Background and objective Intrauterine Growth Restriction (IUGR) is a condition in
which a fetus does not grow to the expected weight during pregnancy. There are several …
被引用次数：6 相关文章

Identification of Latent Risk Clinical Attributes for Children Born Under IUGR Condition Using Machine Learning Techniques

SN Van, JAL Marques, TA Biala… - Computer methods and …, 2021 - pubmed.ncbi.nlm.nih.gov
Background and objective Intrauterine Growth Restriction (IUGR) is a condition in which a
fetus does not grow to the expected weight during pregnancy. There are several well …

Identification of Latent Risk Clinical Attributes for Children Born Under IUGR Condition Using Machine Learning Techniques.

N Van S, LM JA, TA Biala, Y Li - Computer Methods and Programs …, 2020 - europepmc.org
Methods In this work, 41 IUGR (18 male) and 34 Non-IUGR (22 male) children were
followed up 9 years after the birth, in average (9.1786±0.6784 years old). A group of …