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Identifying Clinical Phenotypes in Extremely Low Birth Weight Infants – A Machine Learning Approach

2021-09-28

Abstract excerpt

<title>Abstract</title> <p>There is increasing evidence that patient heterogeneity significantly hinders advancement in clinical trials and individualized care. This study aimed to identify distinct phenotypes in extremely low birth weight infants. We performed an agglomerative hierarchical clustering on principal components. Cluster validation was performed by cluster stability assessment with bootstrapping meth...

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Literature Corpus work
f289e939-6e5f-517e-8a67-7f290d218117
DOI
10.21203/rs.3.rs-869916/v1
Open publication

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Identifying Clinical Phenotypes in Extremely Low Birth Weight Infants – A Machine Learning ApproachDOI 10.21203/rs.3.rs-869916/v1
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