Cargando…

Optimizing Clinical Diabetes Diagnosis through Generative Adversarial Networks: Evaluation and Validation

The escalating prevalence of Type 2 Diabetes (T2D) represents a substantial burden on global healthcare systems, especially in regions such as Mexico. Existing diagnostic techniques, although effective, often require invasive procedures and labor-intensive efforts. The promise of artificial intellig...

Descripción completa

Detalles Bibliográficos
Autores principales:	García-Domínguez, Antonio, Galván-Tejada, Carlos E., Magallanes-Quintanar, Rafael, Cruz, Miguel, Gonzalez-Curiel, Irma, Delgado-Contreras, J. Rubén, Soto-Murillo, Manuel A., Celaya-Padilla, José M., Galván-Tejada, Jorge I.
Formato:	Online Artículo Texto
Lenguaje:	English
Publicado:	MDPI 2023
Materias:	Article
Acceso en línea:	https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10594466/ https://www.ncbi.nlm.nih.gov/pubmed/37873778 http://dx.doi.org/10.3390/diseases11040134

Ejemplares similares

Automatic Evaluation of Heart Condition According to the Sounds Emitted and Implementing Six Classification Methods
por: Soto-Murillo, Manuel A., et al.
Publicado: (2021)

Deep artificial neural network based on environmental sound data for the generation of a children activity classification model
por: García-Domínguez, Antonio, et al.
Publicado: (2020)

Diabetes Detection Models in Mexican Patients by Combining Machine Learning Algorithms and Feature Selection Techniques for Clinical and Paraclinical Attributes: A Comparative Evaluation
por: García-Domínguez, Antonio, et al.
Publicado: (2023)

Comparison of Night, Day and 24 h Motor Activity Data for the Classification of Depressive Episodes
por: Rodríguez-Ruiz, Julieta G., et al.
Publicado: (2020)

Deep Artificial Neural Networks for the Diagnostic of Caries Using Socioeconomic and Nutritional Features as Determinants: Data from NHANES 2013–2014
por: Zanella-Calzada, Laura A., et al.
Publicado: (2018)

Feature Extraction in Motor Activity Signal: Towards a Depression Episodes Detection in Unipolar and Bipolar Patients
por: Zanella-Calzada, Laura A., et al.
Publicado: (2019)

Machine Learning Model Based on Lipidomic Profile Information to Predict Sudden Infant Death Syndrome
por: Villagrana-Bañuelos, Karen E., et al.
Publicado: (2022)

Hard Voting Ensemble Approach for the Detection of Type 2 Diabetes in Mexican Population with Non-Glucose Related Features
por: Morgan-Benita, Jorge A., et al.
Publicado: (2022)

Infrastructure-Less Indoor Localization Using the Microphone, Magnetometer and Light Sensor of a Smartphone
por: Galván-Tejada, Carlos E., et al.
Publicado: (2015)

Children’s Activity Classification for Domestic Risk Scenarios Using Environmental Sound and a Bayesian Network
por: García-Domínguez, Antonio, et al.
Publicado: (2021)

Identification of People with Diabetes Treatment through Lipids Profile Using Machine Learning Algorithms
por: Alcalá-Rmz, Vanessa, et al.
Publicado: (2021)

Risk-Profile and Feature Selection Comparison in Diabetic Retinopathy
por: Maeda-Gutiérrez, Valeria, et al.
Publicado: (2021)

A Similarity Analysis of Audio Signal to Develop a Human Activity Recognition Using Similarity Networks
por: García-Hernández, Alejandra, et al.
Publicado: (2017)

Multivariate Radiological-Based Models for the Prediction of Future Knee Pain: Data from the OAI
por: Galván-Tejada, Jorge I., et al.
Publicado: (2015)

Multimodal Early Alzheimer’s Detection, a Genetic Algorithm Approach with Support Vector Machines
por: Sánchez-Reyna, Ana G., et al.
Publicado: (2021)

Multivariate Feature Selection of Image Descriptors Data for Breast Cancer with Computer-Assisted Diagnosis
por: Galván-Tejada, Carlos E., et al.
Publicado: (2017)

Two-Dimensional Convolutional Neural Network for Depression Episodes Detection in Real Time Using Motor Activity Time Series of Depresjon Dataset
por: Espino-Salinas, Carlos H., et al.
Publicado: (2022)

Classification of Depressive and Schizophrenic Episodes Using Night-Time Motor Activity Signal
por: Rodríguez-Ruiz, Julieta G., et al.
Publicado: (2022)

Distal Symmetric Polyneuropathy Identification in Type 2 Diabetes Subjects: A Random Forest Approach
por: Maeda-Gutiérrez, Valeria, et al.
Publicado: (2021)

Demographic and Comorbidities Data Description of Population in Mexico with SARS-CoV-2 Infected Patients(COVID19): An Online Tool Analysis
por: Galván-Tejada, Carlos E., et al.
Publicado: (2020)

Univariate Analysis of Short-Chain Fatty Acids Related to Sudden Infant Death Syndrome
por: Galván-Tejada, Carlos E., et al.
Publicado: (2020)

Bilateral Image Subtraction and Multivariate Models for the Automated Triaging of Screening Mammograms
por: Celaya-Padilla, José, et al.
Publicado: (2015)

Comparative study of convolutional neural network architectures for gastrointestinal lesions classification
por: Cuevas-Rodriguez, Erik O., et al.
Publicado: (2023)

Breast Cancer Detection Using Automated Segmentation and Genetic Algorithms
por: de la Luz Escobar, María, et al.
Publicado: (2022)

Driver Identification Using Statistical Features of Motor Activity and Genetic Algorithms
por: Espino-Salinas, Carlos H., et al.
Publicado: (2023)

Metabolomic Selection in the Progression of Type 2 Diabetes Mellitus: A Genetic Algorithm Approach
por: Morgan-Benita, Jorge, et al.
Publicado: (2022)

Speed Bump Detection Using Accelerometric Features: A Genetic Algorithm Approach
por: Celaya-Padilla, Jose M., et al.
Publicado: (2018)

A Case–Control Study of Socio-Economic and Nutritional Characteristics as Determinants of Dental Caries in Different Age Groups, Considered as Public Health Problem: Data from NHANES 2013–2014
por: Zanella-Calzada, Laura A., et al.
Publicado: (2018)

Ultra Wideband Antennas
por: Galvan-Tejada, Giselle
Publicado: (2015)

Detection of Pedestrians in Reverse Camera Using Multimodal Convolutional Neural Networks
por: Reveles-Gómez, Luis C., et al.
Publicado: (2023)

Identification of Diabetic Patients through Clinical and Para-Clinical Features in Mexico: An Approach Using Deep Neural Networks
por: Alcalá-Rmz, Vanessa, et al.
Publicado: (2019)

In-Vehicle Alcohol Detection Using Low-Cost Sensors and Genetic Algorithms to Aid in the Drinking and Driving Detection
por: Celaya-Padilla, Jose M., et al.
Publicado: (2021)

Persistence of COVID-19 Symptoms after Recovery in Mexican Population
por: Galván-Tejada, Carlos E., et al.
Publicado: (2020)

Hands-on generative adversarial networks with Keras: your guide to implementing next-generation generative adversarial networks
por: Valle, Rafael
Publicado: (2019)

Designing optimized drug candidates with Generative Adversarial Network
por: Abbasi, Maryam, et al.
Publicado: (2022)

Role of Nitrate Reductase in NO Production in Photosynthetic Eukaryotes
por: Tejada-Jimenez, Manuel, et al.
Publicado: (2019)

Downregulation of sCD40 and sCTLA4 in Recovered COVID-19 Patients with Comorbidities
por: Méndez-Frausto, Gwendolyne, et al.
Publicado: (2022)

Image Clustering by Generative Adversarial Optimization and Advanced Clustering Criteria
por: Tuba, Eva, et al.
Publicado: (2020)

The Optimal Tetralogy of Fallot Repair Using Generative Adversarial Networks
por: Zhang, Guangming, et al.
Publicado: (2021)

Correction to: Designing optimized drug candidates with Generative Adversarial Network
por: Abbasi, Maryam, et al.
Publicado: (2022)

Cannot write session to /tmp/vufind_sessions/sess_o6natva6f4khf830f8tpkra8dj