Cargando…
Health Data-Driven Machine Learning Algorithms Applied to Risk Indicators Assessment for Chronic Kidney Disease
PURPOSE: As global aging progresses, the health management of chronic diseases has become an important issue of concern to governments. Influenced by the aging of its population and improvements in the medical system and healthcare in general, Taiwan’s population of patients with chronic kidney dise...
Autores principales: | Chiu, Yen-Ling, Jhou, Mao-Jhen, Lee, Tian-Shyug, Lu, Chi-Jie, Chen, Ming-Shu |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Dove
2021
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8558038/ https://www.ncbi.nlm.nih.gov/pubmed/34737657 http://dx.doi.org/10.2147/RMHP.S319405 |
Ejemplares similares
-
A Hybrid Risk Factor Evaluation Scheme for Metabolic Syndrome and Stage 3 Chronic Kidney Disease Based on Multiple Machine Learning Techniques
por: Jhou, Mao-Jhen, et al.
Publicado: (2022) -
Integrating Health Data-Driven Machine Learning Algorithms to Evaluate Risk Factors of Early Stage Hypertension at Different Levels of HDL and LDL Cholesterol
por: Liao, Pen-Chih, et al.
Publicado: (2022) -
Hybrid Basketball Game Outcome Prediction Model by Integrating Data Mining Methods for the National Basketball Association
por: Chen, Wei-Jen, et al.
Publicado: (2021) -
Clinical Predictors of Prolonged Hospital Stay in Patients with Myasthenia Gravis: A Study Using Machine Learning Algorithms
por: Chang, Che-Cheng, et al.
Publicado: (2021) -
Utilization of Decision Tree Algorithms for Supporting the Prediction of Intensive Care Unit Admission of Myasthenia Gravis: A Machine Learning-Based Approach
por: Chang, Che-Cheng, et al.
Publicado: (2022)