Cargando…

Predicting Type 2 Diabetes Using Logistic Regression and Machine Learning Approaches

Diabetes mellitus is one of the most common human diseases worldwide and may cause several health-related complications. It is responsible for considerable morbidity, mortality, and economic loss. A timely diagnosis and prediction of this disease could provide patients with an opportunity to take th...

Descripción completa

Detalles Bibliográficos
Autores principales:	Joshi, Ram D., Dhakal, Chandra K.
Formato:	Online Artículo Texto
Lenguaje:	English
Publicado:	MDPI 2021
Materias:	Article
Acceso en línea:	https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8306487/ https://www.ncbi.nlm.nih.gov/pubmed/34299797 http://dx.doi.org/10.3390/ijerph18147346

Ejemplares similares

Logistic Regression for Machine Learning in Process Tomography
por: Rymarczyk, Tomasz, et al.
Publicado: (2019)

Prediction of preterm birth in nulliparous women using logistic regression and machine learning
por: Arabi Belaghi, Reza, et al.
Publicado: (2021)

Prediction of type 2 diabetes mellitus onset using logistic regression-based scorecards
por: Edlitz, Yochai, et al.
Publicado: (2022)

Machine Learning: An Approach in Identifying Risk Factors for Coercion Compared to Binary Logistic Regression
por: Hotzy, Florian, et al.
Publicado: (2018)

Reliability and Clinical Utility of Machine Learning to Predict Stroke Prognosis: Comparison with Logistic Regression
por: Jang, Su-Kyeong, et al.
Publicado: (2020)

Delirium misdiagnosis risk in psychiatry: a machine learning-logistic regression predictive algorithm
por: Hercus, Catherine, et al.
Publicado: (2020)

Prediction of Acute Kidney Injury after Liver Transplantation: Machine Learning Approaches vs. Logistic Regression Model
por: Lee, Hyung-Chul, et al.
Publicado: (2018)

Machine learning did not beat logistic regression in time series prediction for severe asthma exacerbations
por: de Hond, Anne A. H., et al.
Publicado: (2022)

Predicting skilled delivery service use in Ethiopia: dual application of logistic regression and machine learning algorithms
por: Tesfaye, Brook, et al.
Publicado: (2019)

Predicting synkinesis caused by Bell's palsy or Ramsay Hunt syndrome using machine learning‐based logistic regression
por: Kishimoto‐Urata, Megumi, et al.
Publicado: (2023)

Leukemia Prediction Using Sparse Logistic Regression
por: Manninen, Tapio, et al.
Publicado: (2013)

Logistic Regression With Machine Learning Sheds Light on the Problematic Sexual Behavior Phenotype
por: Jiang, Shui, et al.
Publicado: (2023)

Risk prediction for malignant intraductal papillary mucinous neoplasm of the pancreas: logistic regression versus machine learning
por: Kang, Jae Seung, et al.
Publicado: (2020)

Comparing Logistic Regression Models with Alternative Machine Learning Methods to Predict the Risk of Drug Intoxication Mortality
por: Choi, YoungJin, et al.
Publicado: (2020)

Comparison of logistic regression with machine learning methods for the prediction of fetal growth abnormalities: a retrospective cohort study
por: Kuhle, Stefan, et al.
Publicado: (2018)

Comparison of Machine Learning Methods and Conventional Logistic Regressions for Predicting Gestational Diabetes Using Routine Clinical Data: A Retrospective Cohort Study
por: Ye, Yunzhen, et al.
Publicado: (2020)

Prediction of the Risk of Bone Mineral Density Decrease in Type 2 Diabetes Mellitus Patients Based on Traditional Multivariate Logistic Regression and Machine Learning: A Preliminary Study
por: Zhang, Junli, et al.
Publicado: (2023)

Calculus of thought: neuromorphic logistic regression in cognitive machines
por: Rice, Daniel M
Publicado: (2014)

Logistic regression : a self-learning text /
por: Kleinbaum, David G.
Publicado: (2002)

Logistic regression : a self-learning text /
por: Kleinbaum, David G.
Publicado: (1994)

Don’t dismiss logistic regression: the case for sensible extraction of interactions in the era of machine learning
por: Levy, Joshua J., et al.
Publicado: (2020)

Logistic Regression—Explanation and Use
por: Hall, G H, et al.
Publicado: (1994)

Prediction of delayed graft function after kidney transplantation: comparison between logistic regression and machine learning methods
por: Decruyenaere, Alexander, et al.
Publicado: (2015)

Comparison of Multivariable Logistic Regression and Machine Learning Models for Predicting Bronchopulmonary Dysplasia or Death in Very Preterm Infants
por: Khurshid, Faiza, et al.
Publicado: (2021)

Comparison of logistic regression and machine learning methods for predicting postoperative delirium in elderly patients: A retrospective study
por: Song, Yu‐xiang, et al.
Publicado: (2022)

Logistic regression: a self-learning text
por: Kleinbaum, David G, et al.
Publicado: (2002)

Logistic Regression: A Self-Learning Text
por: Kleinbaum, David G, et al.
Publicado: (2010)

Logistic regression: a self-learning text
por: Kleinbaum, David G
Publicado: (1994)

Development and validation of risk prediction models for large for gestational age infants using logistic regression and two machine learning algorithms
por: Wang, Ning, et al.
Publicado: (2023)

Prediction of unwanted pregnancies using logistic regression, probit regression and discriminant analysis
por: Ebrahimzadeh, Farzad, et al.
Publicado: (2015)

Statistical learning for turboshaft helicopter accidents using logistic regression
por: Subagia, Rachmat, et al.
Publicado: (2020)

Comparing logistic regression, support vector machines, and permanental classification methods in predicting hypertension
por: Huang, Hsin-Hsiung, et al.
Publicado: (2014)

Risk assessment of type 2 diabetes in northern China based on the logistic regression model
por: Li, Chunrui, et al.
Publicado: (2021)

Using a cohort study of diabetes and peripheral artery disease to compare logistic regression and machine learning via random forest modeling
por: Austin, Andrea M., et al.
Publicado: (2022)

Complex Machine-Learning Algorithms and Multivariable Logistic Regression on Par in the Prediction of Insufficient Clinical Response to Methotrexate in Rheumatoid Arthritis
por: Gosselt, Helen R., et al.
Publicado: (2021)

Predicting Overweight and Obesity Status Among Malaysian Working Adults With Machine Learning or Logistic Regression: Retrospective Comparison Study
por: Wong, Jyh Eiin, et al.
Publicado: (2022)

Comparison of machine learning and logistic regression as predictive models for adverse maternal and neonatal outcomes of preeclampsia: A retrospective study
por: Zheng, Dongying, et al.
Publicado: (2022)

A machine learning one-class logistic regression model to predict stemness for single cell transcriptomics and spatial omics
por: Dezem, Felipe Segato, et al.
Publicado: (2023)

Novel Method of Classification in Knee Osteoarthritis: Machine Learning Application Versus Logistic Regression Model
por: Yang, Jung Ho, et al.
Publicado: (2020)

Applied logistic regression
por: Hosmer, David W, et al.
Publicado: (2013)

Cannot write session to /tmp/vufind_sessions/sess_dqnhrb5i4t5p9mc08s3fmq9bdf