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Hybrid Fuzzy Logic and Logistic Regression Model with Recursive Feature Elimination for Enhanced Prediction and Clinical Decision Support in Type 2 Diabetes Mellitus Among Adults Aged 35 to 45
Dadashkarimi, M.
2025-07-29
endocrinology
10.1101/2025.07.29.25332372
medRxiv
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Withdrawal StatementThe authors have withdrawn their manuscript owing to errors in the experimental design that affect the integrity of the results. Therefore, the authors do not wish this work to be cited as reference for the project. If you have any questions, please contact the corresponding author.
Matching journals
●Non-profit
◐University press
○Commercial
The top 12 journals account for 50% of the predicted probability mass.
1
PLOS ONE
●
5266 papers in training set
Top 18%
10.0%
Similar papers in this journal
- Predicting long-term Type 2 Diabetes with Support Vector Machine using Oral Glucose Tolerance Test 93%
- Economic Evaluation of Hypertension screening in Iran using Markov model 93%
- Association of METS-IR Index with Type 2 Diabetes: A Cross-sectional Analysis of National Health and Nutrition Examination Survey Data from 2009 to 2018 93%
2
JMIR Public Health and Surveillance
◐
45 papers in training set
Top 0.1%
8.0%
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- Clinical characteristics and outcomes in diabetes patients admitted with COVID-19 in Dubai: a cross-sectional single centre study. 92%
- The relationship between demographic, psychosocial and health-related parameters and the impact of COVID-19: a study of twenty-four Indian regions 91%
- Isolation Considered Epidemiological Model for the Prediction of COVID-19 Trend in Tokyo, Japan 91%
3
JMIRx Med
◐
32 papers in training set
Top 0.1%
5.6%
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- Determinants of Periodic Health Examination Uptake: Insights from a Jordanian Cross-Sectional Study 91%
- Machine Learning-Based Hyperglycemia Prediction: Enhancing Risk Assessment in a Cohort of Undiagnosed Individuals 91%
- Predicting COVID-19 Pandemic in Saudi Arabia Using Modified Singular Spectrum Analysis 91%
4
Medicine
○
31 papers in training set
Top 0.3%
4.1%
Similar papers in this journal
- Relationship between Serum Leptin, Lipid Metabolism, HbA1c, and Renal Function in Individuals with Type 2 Diabetes Mellitus and Obesity and in Individuals with Type 2 Diabetes Mellitus without Obesity 93%
- The PBL teaching method in Neurology Education in the Traditional Chinese Medicine undergraduate students: An Observational Study 92%
- The Impact of Coronavirus Disease 2019 (COVID-19) on Liver Injury in China: A Systematic Review and Meta-analysis 91%
5
Computational and Structural Biotechnology Journal
●
242 papers in training set
Top 1%
3.5%
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- Benchmarking feature selection and feature extraction methods to improve the performances of machine-learning algorithms for patient classification using metabolomics biomedical data. 90%
- Causal inference for the effect of environmental chemicals on chronic kidney disease 89%
- iMDA-BN: Identification of miRNA-Disease Associations based on the Biological Network and Graph Embedding Algorithm 89%
50% of probability mass above
"Similar papers" are the closest papers from that journal in the model's embedding space. They show what the match is built on, but the ranking comes mostly from a classifier over the whole training set, not from these examples alone.