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5 results for “explainable ai”

Research Article Open Access XAI-Powered Comparative Diabetes Prediction with XGBoost, SVM and Artificial Neural Networks

Furkan Sefa Demirci, Demirci F, Remzi Yıldırım, Yıldırım R

International Symposium on AI-Driven Engineering Systems 2025 https://doi.org/10.36287/setsci.22.30.001

In this study, diabetes prediction was conducted using XGBoost, Support Vector Machines (SVM), and a Multilayer Artificial Neural Network (ANN). Attributes that cannot be biologically ‘0’ (e.g. glucose, BMI) were first marked as NaN. After filling the missing …

Research Article Open Access Explainable Multi-Task Deep Learning for Blood Glucose Forecasting: A Lightweight, Interpretability Focused Approach

Sarmad Maqsood, Maqsood S, Muhammad Abdullah Sarwar, Sarwar M, Egle Belousoviene, Belousoviene E, Rytis Maskeliünas , Maskeliünas R

International Symposium on AI-Driven Engineering Systems 2025 https://doi.org/10.36287/setsci.22.4.001

Accurate and transparent blood glucose forecasting is crucial for effective diabetes management. This paper presents an interpretable deep learning (DL) framework based on multi-task learning (MTL) for forecasting glucose levels at multiple prediction horizons…

Research Article Open Access Detecting Fraud, Waste, and Abuse in Healthcare Claims using AI: Applying Isolation Forest to Claim Analytics

Naren Chandra, Chandra N, Vineel Arekapudi, Arekapudi V

International Conference on Open Finance 2025 https://doi.org/10.36287/setsci.24.3.023

Healthcare fraud, waste, and abuse (FWA) are among the most significant drivers of financial inefficiency in healthcare systems worldwide, with estimates suggesting they contribute to as much as 10% of total healthcare expenditures. In the United States, these…

Research Article Open Access Brain Tumor Classification Using Fine-Tuned Transfer Learning

Mustafa Suban Dut, Dut M, Meriç Çetin, Çetin M

International Symposium on AI-Driven Engineering Systems 2025 https://doi.org/10.36287/setsci.22.10.001

Brain tumor is a progressive disease that significantly affects human life. These diseases can reduce the quality of life by causing losses in motor and cognitive functions. Since the chance of treatment decreases when not diagnosed early, advanced technologie…

Research Article Open Access A Novel Deep Learning Model for Diabetes Diagnosis

Haniyeh FATTAHI, FATTAHI H, Yousef FARHANG, FARHANG Y

International Symposium on AI-Driven Engineering Systems 2025 https://doi.org/10.36287/setsci.22.1.001

Diabetes is a chronic disease affecting millions worldwide, necessitating early and accurate diagnosis for effective management. Traditional diagnostic methods, while reliable, often struggle with efficiency and early-stage detection. Deep learning has emerged…