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Factors Associated with Chronic Kidney Disease and Their Clinical Utility in Primary Care Clinics in a Multi-Ethnic Southeast Asian Population
Conclusions: CKD prevalence in our Southeast Asian population is high and under-documented even in high-risk patients. Our findings highlight factors associated with CKD, and the predictive value of hypertension, diabetes, and advancing age as EHR-based screening targets for CKD. Our results also suggest that complementary educational efforts will be needed to increase physician detection and optimize the management of CKD, especially in high risk and marginalized groups across all clinics in Singapore, and possibly in the region.Nephron
Source: Nephron - December 15, 2017 Category: Urology & Nephrology Source Type: research

A Novel Deep Neural Network Model for Multi-Label Chronic Disease Prediction
Conclusions concludes this work along with future work. Dataset and Data Preprocessing In the work, we mainly focus on multiple chronic disease classification. It can be formulated into a multi-label classification problem. There are three common chronic diseases are selected from the physical examination records: hypertension (H), diabetes (D), and fatty liver (FL). In the experiments, the physical examination datasets are collected from a local medical center, which contain 110,300 physical examination records from about 80,000 anonymous patients (Li et al., 2017a,b). Sixty-two feature items are selected from over 100...
Source: Frontiers in Genetics - April 23, 2019 Category: Genetics & Stem Cells Source Type: research