Cover Image

Enhancing Metabolic Syndrome Prediction with Hybrid Data Balancing and Counterfactuals

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Shah, Sanyam Paresh, Mamun, Abdullah, Soumma, Shovito Barua, Ghasemzadeh, Hassan
Format:	Preprint
Published:	2025
Subjects:	Machine Learning Artificial Intelligence
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

RealAC: A Domain-Agnostic Framework for Realistic and Actionable Counterfactual Explanations
by: Arefeen, Asiful, et al.
Published: (2025)

Self-Supervised Learning and Opportunistic Inference for Continuous Monitoring of Freezing of Gait in Parkinson's Disease
by: Soumma, Shovito Barua, et al.
Published: (2024)

GlyRAG: Context-Aware Retrieval-Augmented Framework for Blood Glucose Forecasting
by: Soumma, Shovito Barua, et al.
Published: (2026)

SenseCF: LLM-Prompted Counterfactuals for Intervention and Sensor Data Augmentation
by: Soumma, Shovito Barua, et al.
Published: (2025)

Counterfactual Modeling with Fine-Tuned LLMs for Health Intervention Design and Sensor Data Augmentation
by: Soumma, Shovito Barua, et al.
Published: (2026)

Hybrid Attention Model Using Feature Decomposition and Knowledge Distillation for Glucose Forecasting
by: Farahmand, Ebrahim, et al.
Published: (2024)

AIMI: Leveraging Future Knowledge and Personalization in Sparse Event Forecasting for Treatment Adherence
by: Mamun, Abdullah, et al.
Published: (2025)

Wearable-Based Real-time Freezing of Gait Detection in Parkinson's Disease Using Self-Supervised Learning
by: Soumma, Shovito Barua, et al.
Published: (2024)

Freezing of Gait Detection Using Gramian Angular Fields and Federated Learning from Wearable Sensors
by: Soumma, Shovito Barua, et al.
Published: (2024)

Designing User-Centric Behavioral Interventions to Prevent Dysglycemia with Novel Counterfactual Explanations
by: Arefeen, Asiful, et al.
Published: (2023)

Multimodal Physical Activity Forecasting in Free-Living Clinical Settings: Hunting Opportunities for Just-in-Time Interventions
by: Mamun, Abdullah, et al.
Published: (2024)

LLM-Powered Prediction of Hyperglycemia and Discovery of Behavioral Treatment Pathways from Wearables and Diet
by: Mamun, Abdullah, et al.
Published: (2025)

Use of What-if Scenarios to Help Explain Artificial Intelligence Models for Neonatal Health
by: Mamun, Abdullah, et al.
Published: (2024)

GlyTwin: Digital Twin for Glucose Control in Type 1 Diabetes Through Optimal Behavioral Modifications Using Patient-Centric Counterfactuals
by: Arefeen, Asiful, et al.
Published: (2025)

Binary Gaussian Copula Synthesis: A Novel Data Augmentation Technique to Advance ML-based Clinical Decision Support Systems for Early Prediction of Dialysis Among CKD Patients
by: Khosravi, Hamed, et al.
Published: (2024)

NutriGen: Personalized Meal Plan Generator Leveraging Large Language Models to Enhance Dietary and Nutritional Adherence
by: Khamesian, Saman, et al.
Published: (2025)

Efficient Feature Extraction and Classification Architecture for MRI-Based Brain Tumor Detection and Localization
by: Paul, Plabon, et al.
Published: (2024)

M-CELS: Counterfactual Explanation for Multivariate Time Series Data Guided by Learned Saliency Maps
by: Li, Peiyu, et al.
Published: (2024)

Glycemic-Aware and Architecture-Agnostic Training Framework for Blood Glucose Forecasting in Type 1 Diabetes
by: Khamesian, Saman, et al.
Published: (2025)

Augmenting The Weather: A Hybrid Counterfactual-SMOTE Algorithm for Improving Crop Growth Prediction When Climate Changes
by: Temraz, Mohammed, et al.
Published: (2025)

Self-Distilled Disentangled Learning for Counterfactual Prediction
by: Li, Xinshu, et al.
Published: (2024)

Enhancing Resilience and Scalability in Travel Booking Systems: A Microservices Approach to Fault Tolerance, Load Balancing, and Service Discovery
by: Barua, Biman, et al.
Published: (2024)

The Effect of Data Poisoning on Counterfactual Explanations
by: Artelt, André, et al.
Published: (2024)

Optimizing Travel Itineraries with AI Algorithms in a Microservices Architecture: Balancing Cost, Time, Preferences, and Sustainability
by: Barua, Biman, et al.
Published: (2024)

TabulaTime: A Novel Multimodal Deep Learning Framework for Advancing Acute Coronary Syndrome Prediction through Environmental and Clinical Data Integration
by: Zhang, Xin, et al.
Published: (2025)

Mitigating Deep Reinforcement Learning Backdoors in the Neural Activation Space
by: Vyas, Sanyam, et al.
Published: (2024)

On Predicting Post-Click Conversion Rate via Counterfactual Inference
by: Ahn, Junhyung, et al.
Published: (2025)

Enhancing Counterfactual Explanation Search with Diffusion Distance and Directional Coherence
by: Domnich, Marharyta, et al.
Published: (2024)

Gated Adaptation for Continual Learning in Human Activity Recognition
by: Azghan, Reza Rahimi, et al.
Published: (2026)

Synthetic Data in Education: Empirical Insights from Traditional Resampling and Deep Generative Models
by: Chinodakufa, Tapiwa Amion, et al.
Published: (2026)

Improving Counterfactual Truthfulness for Molecular Property Prediction through Uncertainty Quantification
by: Teufel, Jonas, et al.
Published: (2025)

FAST-Q: Fast-track Exploration with Adversarially Balanced State Representations for Counterfactual Action Estimation in Offline Reinforcement Learning
by: Agrawal, Pulkit, et al.
Published: (2025)

Asymmetric-Loss-Guided Hybrid CNN-BiLSTM-Attention Model for Industrial RUL Prediction with Interpretable Failure Heatmaps
by: Abdullah, Mohammed Ezzaldin Babiker
Published: (2026)

Causal Action Influence Aware Counterfactual Data Augmentation
by: Urpí, Núria Armengol, et al.
Published: (2024)

Dataset Distillation-based Hybrid Federated Learning on Non-IID Data
by: Shi, Xiufang, et al.
Published: (2024)

Global Cross-Time Attention Fusion for Enhanced Solar Flare Prediction from Multivariate Time Series
by: Vural, Onur, et al.
Published: (2025)

Mitigating Spurious Correlations in NLI via LLM-Synthesized Counterfactuals and Dynamic Balanced Sampling
by: Jaimes, Christopher Román
Published: (2025)

Ablation Based Counterfactuals
by: Dai, Zheng, et al.
Published: (2024)

Lookahead Counterfactual Fairness
by: Zuo, Zhiqun, et al.
Published: (2024)

TriShGAN: Enhancing Sparsity and Robustness in Multivariate Time Series Counterfactuals Explanation
by: Ma, Hongnan, et al.
Published: (2025)