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Diabetes detection using deep learning techniques with oversampling and feature augmentation

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Outgoing claims: the papers this work cites, builds on, or argues with.

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Learning Internal Representations by Error Propagation
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Predictive modelling and analytics for diabetes using a machine learning approach
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RST-BatMiner: A fuzzy rule miner integrating rough set feature selection and Bat optimization for detection of diabetes disease
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Stacking-based multi-objective evolutionary ensemble framework for prediction of diabetes mellitus
inferredcites →https://doi.org/10.1016/j.cegh.2018.12.004openalex-snapshot
Type 2 diabetes data classification using stacked autoencoders in deep neural networks
inferredcites →https://doi.org/10.1016/j.cmpb.2013.07.009openalex-snapshot
Design of fuzzy classifier for diabetes disease using Modified Artificial Bee Colony algorithm
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Development of a Reinforcement Learning-based Evolutionary Fuzzy Rule-Based System for diabetes diagnosis
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An expert system approach based on principal component analysis and adaptive neuro-fuzzy inference system to diagnosis of diabetes disease
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Design of a hybrid system for the diabetes and heart diseases
inferredcites →https://doi.org/10.1016/j.imu.2016.02.001openalex-snapshot
Rule extraction using Recursive-Rule extraction algorithm with J48graft combined with sampling selection techniques for the diagnosis of type 2 diabetes mellitus in the Pima Indian dataset
inferredcites →https://doi.org/10.1016/j.imu.2019.100204openalex-snapshot
A model for early prediction of diabetes
inferredcites →https://doi.org/10.1016/j.isatra.2019.07.001openalex-snapshot
A novel deep learning based fault diagnosis approach for chemical process with extended deep belief network
inferredcites →https://doi.org/10.1016/j.patrec.2019.06.005openalex-snapshot
Diagnosis of diabetes diseases using optimized fuzzy rule set by grey wolf optimization
inferredcites →https://doi.org/10.1016/j.procs.2018.05.122openalex-snapshot
Prediction of Diabetes using Classification Algorithms
inferredcites →https://doi.org/10.1016/j.procs.2019.08.140openalex-snapshot
Early Detection of Diabetes Mellitus using Feature Selection and Fuzzy Support Vector Machine
inferredcites →https://doi.org/10.1016/s2213-8587(15)00291-0openalex-snapshot
Long-term effects of lifestyle intervention or metformin on diabetes development and microvascular complications over 15-year follow-up: the Diabetes Prevention Program Outcomes Study
inferredcites →https://doi.org/10.1080/01969722.2019.1705548openalex-snapshot
Hybrid Deep Neural Network-Based Text Representation Model to Improve Microblog Retrieval
inferredcites →https://doi.org/10.1109/cvpr.2014.223openalex-snapshot
Large-Scale Video Classification with Convolutional Neural Networks
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2013 IEEE Conference on Computer Vision and Pattern Recognition
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Deep Learning With Spatiotemporal Attention-Based LSTM for Industrial Soft Sensor Model Development
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Hierarchical Quality-Relevant Feature Representation for Soft Sensor Modeling: A Novel Deep Learning Strategy
inferredcites →https://doi.org/10.1109/tii.2020.2998818openalex-snapshot
Visual Perception Enabled Industry Intelligence: State of the Art, Challenges and Prospects
inferredcites →https://doi.org/10.1109/tmm.2020.3037482openalex-snapshot
MaD-DLS: Mean and Deviation of Deep and Local Similarity for Image Quality Assessment
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A Layer-Wise Data Augmentation Strategy for Deep Learning Networks and Its Soft Sensor Application in an Industrial Hydrocracking Process
inferredcites →https://doi.org/10.1163/156939307783239429openalex-snapshot
Diagnosis of Diabetes Mellitus using Microwaves
inferredcites →https://doi.org/10.1613/jair.953openalex-snapshot
SMOTE: Synthetic Minority Over-sampling Technique
inferredcites →https://doi.org/10.2337/db20-864-popenalex-snapshot
864-P: Hyperglycemia Drives Glycemic Variability in Patients with Type 2 Diabetes (T2DM)
inferredcites →https://doi.org/10.2337/dbi19-0035openalex-snapshot
A Variation on the Theme: SGLT2 Inhibition and Glucagon Secretion in Human Islets
inferredcites →https://doi.org/10.3156/jsoft.29.5_177_2openalex-snapshot
GAN(Generative Adversarial Nets)
inferredcites →https://doi.org/10.3390/s20041214openalex-snapshot
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What points at this work

Incoming claims: where this work appears in other papers’ reference lists and arguments.

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Chi-Square and PCA Based Feature Selection for Diabetes Detection with Ensemble Classifier
inferred← citeshttps://doi.org/10.3389/fendo.2022.1043919openalex-snapshot
Development and validation of a machine learning-augmented algorithm for diabetes screening in community and primary care settings: A population-based study
inferred← citeshttps://doi.org/10.3389/fpubh.2022.861062openalex-snapshot
A Decision Support System for Diagnosing Diabetes Using Deep Neural Network
inferred← citeshttps://doi.org/10.3390/app12030950openalex-snapshot
Fine-Tuning Fuzzy KNN Classifier Based on Uncertainty Membership for the Medical Diagnosis of Diabetes
inferred← citeshttps://doi.org/10.3390/bioengineering13040480openalex-snapshot
An Effective Model-Based Voting Classifier for Diabetes Mellitus Classification
inferred← citeshttps://doi.org/10.3390/diagnostics16193121openalex-snapshot
Machine Learning and Deep Learning for Early Disease Detection Across Modalities: A Comprehensive Review of Methods, Applications, and Clinical Translation
inferred← citeshttps://doi.org/10.3390/e23101251openalex-snapshot
DFTSA-Net: Deep Feature Transfer-Based Stacked Autoencoder Network for DME Diagnosis
inferred← citeshttps://doi.org/10.3390/electronics13214177openalex-snapshot
Utilizing Attention-Enhanced Deep Neural Networks for Large-Scale Preliminary Diabetes Screening in Population Health Data
inferred← citeshttps://doi.org/10.3390/healthcare13172138openalex-snapshot
From Data to Diagnosis: A Novel Deep Learning Model for Early and Accurate Diabetes Prediction
inferred← citeshttps://doi.org/10.3390/healthcare14142144openalex-snapshot
Leakage-Controlled and Survey-Weighted Machine Learning for Neonatal Mortality Risk Prediction Using NFHS-5 Data
inferred← citeshttps://doi.org/10.3390/math13040628openalex-snapshot
Hybrid Random Feature Selection and Recurrent Neural Network for Diabetes Prediction
inferred← citeshttps://doi.org/10.36596/jcse.v4i2.708openalex-snapshot
An Integrated Approach for Diabetes Detection Using Fisher Score Feature Selection and Capsule Network
inferred← citeshttps://doi.org/10.3844/jcssp.2024.168.180openalex-snapshot
Flock Optimization Algorithm-Based Deep Learning Model for Diabetic Disease Detection Improvement
inferred← citeshttps://doi.org/10.3991/ijoe.v20i08.47765openalex-snapshot
Diabetes Prediction: Optimization of Machine Learning through Feature Selection and Dimensionality Reduction
inferred← citeshttps://doi.org/10.4015/s1016237225500607openalex-snapshot
QSRN: QUANTUM SPIKING RESIDUAL NETWORK FOR DISEASE DETECTION-BASED MULTIMODAL SIGNAL USING WEARABLE SENSORS
inferred← citeshttps://doi.org/10.52783/jes.1444openalex-snapshot
A Deep Learning-Based Diabetes Diagnosis Model on PIMA Image Dataset
inferred← citeshttps://doi.org/10.54392/irjmt25415openalex-snapshot
Enhancing Diabetes Diagnosis with Confidence-Calibrated Adaptive Weighting and Multi-Model Ensemble Framework
inferred← citeshttps://doi.org/10.5505/pajes.2022.82610openalex-snapshot
Early stage diabetes prediction by features selection with metaheuristic methods
inferred← citeshttps://doi.org/10.56726/irjmets35053openalex-snapshot
MACHINE LEARNING FOR DIABETES PREDICTION
inferred← citeshttps://doi.org/10.59277/rrst-ee.2023.68.1.20openalex-snapshot
A DISEASE PREDICTION MODEL USING SPOTTED HYENA SEARCH OPTIMIZATION AND BI-LSTM
inferred← citeshttps://doi.org/10.59277/rrst-ee.2023.68.1.21openalex-snapshot
A DISEASE PREDICTION MODEL USING SPOTTED HYENA SEARCH OPTIMIZATION AND BI-LSTM
inferred← citeshttps://doi.org/10.59287/as-ijanser.198openalex-snapshot
MAKİNE ÖĞRENME METOTLARININ MANTI KALİTESİNİN BELİRLENMESİNDE KULLANILABİLİRLİĞİ
inferred← citeshttps://doi.org/10.7759/s44389-025-03135-0openalex-snapshot
Hybrid Machine Learning Models for Accurate Type 2 Diabetes Mellitus Prediction Using a Stacking Classifier and a Meta-Model Approach
inferred← citeshttps://doi.org/10.7759/s44389-026-00130-xopenalex-snapshot
Machine Learning and Data Preprocessing Methods for Diabetes Prediction: A Systematic Review With Visual Insights
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