Cargando…

Comparison of Different Machine Learning Techniques to Predict Diabetic Kidney Disease

BACKGROUND: Diabetic kidney disease (DKD), one of the complications of diabetes in patients, leads to progressive loss of kidney function. Timely intervention is known to improve outcomes. Therefore, screening patients to identify high-risk populations is important. Machine learning classification t...

Descripción completa

Detalles Bibliográficos
Autores principales:	David, Satish Kumar, Rafiullah, Mohamed, Siddiqui, Khalid
Formato:	Online Artículo Texto
Lenguaje:	English
Publicado:	Hindawi 2022
Materias:	Research Article
Acceso en línea:	https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8993553/ https://www.ncbi.nlm.nih.gov/pubmed/35399848 http://dx.doi.org/10.1155/2022/7378307

Ejemplares similares

Corticosteroid use in viral pneumonia: experience so far and the dexamethasone breakthrough in coronavirus disease-2019
por: Rafiullah, Mohamed, et al.
Publicado: (2020)

Risk Predictors of High Uric Acid Levels Among Patients with Type-2 Diabetes
por: Eljaaly, Zobeida, et al.
Publicado: (2021)

Predicting Diabetes Mellitus With Machine Learning Techniques
por: Zou, Quan, et al.
Publicado: (2018)

Machine Learning Hybrid Model for the Prediction of Chronic Kidney Disease
por: Khalid, Hira, et al.
Publicado: (2023)

Determinant of Osteopontin Levels in Microvascular Complications in Patients with Diabetes
por: Nawaz, Shaik Sarfaraz, et al.
Publicado: (2022)

A Novel Diabetes Healthcare Disease Prediction Framework Using Machine Learning Techniques
por: Krishnamoorthi, Raja, et al.
Publicado: (2022)

Comparison and development of machine learning tools in the prediction of chronic kidney disease progression
por: Xiao, Jing, et al.
Publicado: (2019)

Several machine learning techniques comparison for the prediction of the uniaxial compressive strength of carbonate rocks
por: Hassan, Mohamed Yusuf, et al.
Publicado: (2022)

Predictive models for diabetes mellitus using machine learning techniques
por: Lai, Hang, et al.
Publicado: (2019)

Prediction of Diabetic Sensorimotor Polyneuropathy Using Machine Learning Techniques
por: Shin, Dae Youp, et al.
Publicado: (2021)

Diabetes prediction using machine learning and explainable AI techniques
por: Tasin, Isfafuzzaman, et al.
Publicado: (2022)

A comparison of machine learning techniques for survival prediction in breast cancer
por: Vanneschi, Leonardo, et al.
Publicado: (2011)

Comparison of Machine Learning Techniques for Prediction of Hospitalization in Heart Failure Patients
por: Lorenzoni, Giulia, et al.
Publicado: (2019)

Neonatal Disease Prediction Using Machine Learning Techniques
por: Robi, Yohanes Gutema, et al.
Publicado: (2023)

Comparison of machine learning and deep learning techniques in promoter prediction across diverse species
por: Bhandari, Nikita, et al.
Publicado: (2021)

Machine learning to predict end stage kidney disease in chronic kidney disease
por: Bai, Qiong, et al.
Publicado: (2022)

Development of Various Diabetes Prediction Models Using Machine Learning Techniques
por: Shin, Juyoung, et al.
Publicado: (2022)

Applying Different Machine Learning Techniques for Prediction of COVID-19 Severity
Publicado: (2021)

Prediction of Geosmin at Different Depths of Lake Using Machine Learning Techniques
por: Kwon, Yong-Su, et al.
Publicado: (2021)

Comparing different machine learning techniques for predicting COVID-19 severity
por: Xiong, Yibai, et al.
Publicado: (2022)

Editorial: Machine Learning Techniques on Gene Function Prediction
por: Zou, Quan, et al.
Publicado: (2019)

IoT-based disease prediction using machine learning
por: Siddiqui, Salman Ahmad, et al.
Publicado: (2023)

Comparison of a chronic kidney disease predictive model for type 2 diabetes mellitus in Malaysia using Cox regression versus machine learning approach
por: Sim, Ruth, et al.
Publicado: (2022)

Clinical Data Analysis for Prediction of Cardiovascular Disease Using Machine Learning Techniques
por: Nadakinamani, Rajkumar Gangappa, et al.
Publicado: (2022)

Application of machine learning techniques to understand ethnic differences and risk factors for incident chronic kidney disease in Asians
por: Lim, Cynthia Ciwei, et al.
Publicado: (2021)

Retracted: A Novel Diabetes Healthcare Disease Prediction Framework Using Machine Learning Techniques
por: Healthcare Engineering, Journal of
Publicado: (2023)

Artificial intelligence predicts the progression of diabetic kidney disease using big data machine learning
por: Makino, Masaki, et al.
Publicado: (2019)

Machine Learning Techniques for Soybean Charcoal Rot Disease Prediction
por: Khalili, Elham, et al.
Publicado: (2020)

Prediction of diabetic kidney disease with machine learning algorithms, upon the initial diagnosis of type 2 diabetes mellitus
por: Allen, Angier, et al.
Publicado: (2022)

Chronic kidney disease prediction based on machine learning algorithms
por: Islam, Md. Ariful, et al.
Publicado: (2023)

Prediction of Tribological Properties of UHMWPE/SiC Polymer Composites Using Machine Learning Techniques
por: Mohammed, Abdul Jawad, et al.
Publicado: (2023)

Significance of Visible Non-Invasive Risk Attributes for the Initial Prediction of Heart Disease Using Different Machine Learning Techniques
por: Ansarullah, Syed Immamul, et al.
Publicado: (2022)

Prediction of gestational diabetes using deep learning and Bayesian optimization and traditional machine learning techniques
por: Kurt, Burçin, et al.
Publicado: (2023)

A Prediction Model for Tacrolimus Daily Dose in Kidney Transplant Recipients With Machine Learning and Deep Learning Techniques
por: Zhang, Qiwen, et al.
Publicado: (2022)

MON-156 Association of Adhesion Molecule with Diabetes, Diabetic Retinopathy, and Diabetic Kidney Disease
por: Siddiqui, Khalid, et al.
Publicado: (2019)

Stroke Risk Prediction with Machine Learning Techniques
por: Dritsas, Elias, et al.
Publicado: (2022)

Comparison Analysis of Machine Learning Techniques for Photovoltaic Prediction Using Weather Sensor Data
por: Carrera, Berny, et al.
Publicado: (2020)

Comparison of Machine Learning Techniques for Mortality Prediction in a Prospective Cohort of Older Adults
por: Tedesco, Salvatore, et al.
Publicado: (2021)

Prediction for chronic kidney disease by categorical and non_categorical attributes using different machine learning algorithms
por: Pal, Saurabh
Publicado: (2023)

Implementation of Machine Learning Models for the Prevention of Kidney Diseases (CKD) or Their Derivatives
por: Twarish Alhamazani, Khalid, et al.
Publicado: (2021)

Cannot write session to /tmp/vufind_sessions/sess_judhuih45m5n4gfg7nq5p3scdi