Publications by authors named "Duc Thanh Anh Luong"
: an Evaluation Metric to Assess Quality of Clustering Longitudinal Clinical Data.
J Healthc Inform Res
December 2019
Longitudinal disease subtyping is an important problem within the broader scope of computational phenotyping. In this article, we discuss several data-driven unsupervised disease subtyping methods to obtain disease subtypes from longitudinal clinical data. The methods are analyzed in the context of chronic kidney disease, one of the leading health problems, both in the USA and worldwide.
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- - Identifying phenotypic subtypes of chronic kidney disease (CKD) is crucial for better risk assessment and targeted therapies, given the disease's varied progression rates among patients.
- - The study utilizes electronic health records (EHR) to extract severity profiles of CKD, employing a probabilistic model to analyze patient data and determine distinct disease subtypes.
- - Results show clinically relevant disease subtypes and associated health markers, suggesting potential for using these findings as risk predictors in future research.