An integrated machine learning predictive scheme for longitudinal laboratory data to evaluate the factors determining renal function changes in patients with different …
MH Tsai, MJ Jhou, TC Liu, YW Fang, CJ Lu - Frontiers in Medicine, 2023 - frontiersin.org
Background and objectives Chronic kidney disease (CKD) is a global health concern. This
study aims to identify key factors associated with renal function changes using the proposed …
study aims to identify key factors associated with renal function changes using the proposed …
Health informatics: the foundations of public health
TS Lee, CJ Lu - Healthcare, 2023 - mdpi.com
As technology continues to evolve, vast amounts of diverse digital data are becoming more
easily generated and collected. In public health, various types of data can be generated. The …
easily generated and collected. In public health, various types of data can be generated. The …
Analyzing Longitudinal Health Screening Data with Feature Ensemble and Machine Learning Techniques: Investigating Diagnostic Risk Factors of Metabolic …
Longitudinal data, while often limited, contain valuable insights into features impacting
clinical outcomes. To predict the progression of chronic kidney disease (CKD) in patients …
clinical outcomes. To predict the progression of chronic kidney disease (CKD) in patients …
Machine learning predictive models for evaluating risk factors affecting sperm count: predictions based on health screening indicators
HH Huang, SJ Hsieh, MS Chen, MJ Jhou… - Journal of Clinical …, 2023 - mdpi.com
In many countries, especially developed nations, the fertility rate and birth rate have
continually declined. Taiwan's fertility rate has paralleled this trend and reached its nadir in …
continually declined. Taiwan's fertility rate has paralleled this trend and reached its nadir in …
A Fuzzy Knowledge Graph Pairs-Based Application for Classification in Decision Making: Case Study of Preeclampsia Signs
HV Pham, CK Long, PH Khanh, HQ Trung - Information, 2023 - mdpi.com
Problems of preeclampsia sign diagnosis are mostly based on symptom data with the
characteristics of data collected periodically in uncertain, ambiguous, and obstetrician …
characteristics of data collected periodically in uncertain, ambiguous, and obstetrician …
Performance Evaluation and Comparative Analysis of Machine Learning Techniques to Predict the Chronic Kidney Disease
Chronic kidney disease is one of the most fatal diseases affecting people worldwide. As a
result, it is critical to forecast and identify this illness as early as possible, enabling medical …
result, it is critical to forecast and identify this illness as early as possible, enabling medical …
Improving Enhanced Clinical Decision Making: Chronic Kidney Disease Detection
BMG India, S Vadlamudi, CR Guggella… - … for Innovations in …, 2023 - ieeexplore.ieee.org
Chronic kidney disease (CKD) is among the health concerns that warrant attention for
people worldwide and has impacts, on individuals and the economy. The “Chronic Kidney …
people worldwide and has impacts, on individuals and the economy. The “Chronic Kidney …