Cargando…

Estimation of Diabetes in a High-Risk Adult Chinese Population Using J48 Decision Tree Model

BACKGROUND: To predict and make an early diagnosis of diabetes is a critical approach in a population with high risk of diabetes, one of the devastating diseases globally. Traditional and conventional blood tests are recommended for screening the suspected patients; however, applying these tests cou...

Descripción completa

Detalles Bibliográficos
Autores principales:	Pei, Dongmei, Yang, Tengfei, Zhang, Chengpu
Formato:	Online Artículo Texto
Lenguaje:	English
Publicado:	Dove 2020
Materias:	Original Research
Acceso en línea:	https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7705272/ https://www.ncbi.nlm.nih.gov/pubmed/33273837 http://dx.doi.org/10.2147/DMSO.S279329

Ejemplares similares

Identification of Potential Type II Diabetes in a Chinese Population with a Sensitive Decision Tree Approach
por: Pei, Dongmei, et al.
Publicado: (2019)

Identification of Water Bodies in a Landsat 8 OLI Image Using a J48 Decision Tree
por: Acharya, Tri Dev, et al.
Publicado: (2016)

Estimation of the Prevalence of Nonalcoholic Fatty Liver Disease in an Adult Population in Northern China Using the Data Mining Approach
por: Yang, TengFei, et al.
Publicado: (2021)

Accurate and rapid screening model for potential diabetes mellitus
por: Pei, Dongmei, et al.
Publicado: (2019)

Estimating lifetime risk of diabetes in the Chinese population
por: Bragg, Fiona, et al.
Publicado: (2022)

Evaluation of the Association between Obesity Markers and Type 2 Diabetes: A Cohort Study Based on a Physical Examination Population
por: Yang, Tengfei, et al.
Publicado: (2021)

White cell count trajectory and type 2 diabetes in health management population: a retrospective cohort study
por: Yang, Tengfei, et al.
Publicado: (2022)

Identification of a Novel Epithelial–Mesenchymal Transition Gene Signature Predicting Survival in Patients With HNSCC
por: Xin, Wei, et al.
Publicado: (2021)

A Decision Tree Analysis of Diabetic Foot Amputation Risk in Indian Patients
por: Kasbekar, Prasad Umesh, et al.
Publicado: (2017)

Reanalysis and External Validation of a Decision Tree Model for Detecting Unrecognized Diabetes in Rural Chinese Individuals
por: Xin, Zhong, et al.
Publicado: (2017)

Identifying the women most vulnerable to intimate partner violence: A decision tree analysis from 48 low and middle-income countries
por: Coll, Carolina V N, et al.
Publicado: (2021)

TreeViewJ: An application for viewing and analyzing phylogenetic trees
por: Peterson, Matthew W, et al.
Publicado: (2007)

Classification Rule for 5-year Cardiovascular Diseases Risk using decision tree in Primary Care Chinese Patients with Type 2 Diabetes Mellitus
por: Wan, Eric Yuk Fai, et al.
Publicado: (2017)

Using decision tree algorithms for estimating ICU admission of COVID-19 patients
por: Shanbehzadeh, Mostafa, et al.
Publicado: (2022)

Recruitment decision Tree
por: Marcastel, Fabienne
Publicado: (2016)

Decision Tree-Based Body Constitution Diagnosis System for Traditional Chinese Medicine
por: Yang, Cheng-Chan, et al.
Publicado: (2022)

Decision trees to evaluate the risk of developing multiple sclerosis
por: Pasella, Manuela, et al.
Publicado: (2023)

Use of CHAID Decision Trees to Formulate Pathways for the Early Detection of Metabolic Syndrome in Young Adults
por: Miller, Brian, et al.
Publicado: (2014)

Estimating variance components in population scale family trees
por: Shor, Tal, et al.
Publicado: (2019)

Risk factor analysis and clinical decision tree model construction for diabetic retinopathy in Western China
por: Zhou, Yuan-Yuan, et al.
Publicado: (2022)

Decision tree learning in Neo4j on homogeneous and unconnected graph nodes from biological and clinical datasets
por: Mondal, Rahul, et al.
Publicado: (2023)

Analysis of the interaction effect of 48 SNPs and obesity on type 2 diabetes in Chinese Hans
por: Liu, Jia, et al.
Publicado: (2020)

Simultaneous Estimation of Azimuth and Elevation Angles Using a Decision Tree-Based Method
por: Carballeira, Anabel Reyes, et al.
Publicado: (2023)

The clinical decision analysis using decision tree
por: Bae, Jong-Myon
Publicado: (2014)

Estimation of Value-Based Price for 48 High-Technology Medical Devices
por: Hyeraci, Giulia, et al.
Publicado: (2023)

Building more accurate decision trees with the additive tree
por: Luna, José Marcio, et al.
Publicado: (2019)

Maximum Likelihood Estimation of Species Trees from Gene Trees in the Presence of Ancestral Population Structure
por: Koch, Hillary, et al.
Publicado: (2020)

Traditional Chinese medicine pharmacovigilance in signal detection: decision tree-based data classification
por: Wei, Jian-Xiang, et al.
Publicado: (2018)

A Guideline-Based Decision Tree Achieves Better Glucose Control with Less Hypoglycemia at 3 Months in Chinese Diabetic Patients
por: Luo, Yingying, et al.
Publicado: (2021)

Estimating Coextinction Risks from Epidemic Tree Death: Affiliate Lichen Communities among Diseased Host Tree Populations of Fraxinus excelsior
por: Jönsson, Mari T., et al.
Publicado: (2012)

Tree Biomass Estimation of Chinese fir (Cunninghamia lanceolata) Based on Bayesian Method
por: Zhang, Xiongqing, et al.
Publicado: (2013)

Type 2 Diabetes Mellitus Screening and Risk Factors Using Decision Tree: Results of Data Mining
por: Habibi, Shafi, et al.
Publicado: (2015)

Diagnostic decision tree in dementia
por: Wetherell, Julie Loebach, et al.
Publicado: (2003)

Decision trees in epidemiological research
por: Venkatasubramaniam, Ashwini, et al.
Publicado: (2017)

On the Depth of Decision Trees with Hypotheses
por: Moshkov, Mikhail
Publicado: (2022)

Bayesian Estimation of Population Size Changes by Sampling Tajima’s Trees
por: Palacios, Julia A., et al.
Publicado: (2019)

Promoting physical activity in a multi-ethnic population at high risk of diabetes: the 48-month PROPELS randomised controlled trial
por: Khunti, Kamlesh, et al.
Publicado: (2021)

Identification of Potential Sources of Mercury (Hg) in Farmland Soil Using a Decision Tree Method in China
por: Zhong, Taiyang, et al.
Publicado: (2016)

Assessment of potential human health risks in aquatic products based on the heavy metal hazard decision tree
por: Ku, Hao-Hsiang, et al.
Publicado: (2022)

An Efficient Predictive Model for Myocardial Infarction Using Cost-sensitive J48 Model
por: DARAEI, Atefeh, et al.
Publicado: (2017)

Cannot write session to /tmp/vufind_sessions/sess_7tok45nc5vehci3t4bpuv2ldvg