ISSN: 2535-1451 (Online) 2535-1443 (Print) JCSIS Journal of Computer Science and Information Systems It provides an international forum for researchers
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Explore our collection of 71 published research papers
Generative Adversarial Networks for Synthetic Medical Image Augmentation in Rare Disease Diagnosis.
Rare diseases collectively affect millions of individuals worldwide, yet their diagnosis remains a significant challenge due to limited clinical expertise, heterogeneous disease manifestations, and, m...
A Metaheuristic-Enhanced Convolutional Neural Network for Skin Lesion Detection and Melanoma Classification.
Rare diseases collectively affect millions of individuals worldwide, yet their diagnosis remains a significant challenge due to limited clinical expertise, heterogeneous disease manifestations, and, m...
Deep Reinforcement Learning for Personalized Cancer Treatment Planning and Radiotherapy Dose Optimization.
Personalized cancer treatment planning is a complex clinical decision-making process that requires the optimal selection of therapeutic strategies while balancing tumor control, patient-specific anato...
Optimized Bidirectional LSTM Networks for Real-Time Sepsis Prediction in Emergency Department Settings.
Sepsis is a life-threatening clinical condition that requires rapid recognition and timely intervention, particularly in Emergency Department (ED) settings where patients often present with heterogene...
Transformer-Based Natural Language Processing Model for Clinical Text Mining and Drug Adverse Event Detection
The rapid growth of unstructured clinical text within Electronic Health Records (EHRs), discharge summaries, medication notes, progress reports, and spontaneous drug safety reports has created ...
Federated Deep Learning Architecture for Privacy-Preserving Medical Image Segmentation Across Distributed Hospitals.
Medical image segmentation plays a fundamental role in computer-aided diagnosis, treatment planning, surgical navigation, radiotherapy guidance, and longitudinal disease monitoring. However, developin...
Explainable Artificial Intelligence for Cardiovascular Disease Risk Stratification Using Electronic Health Records.
Cardiovascular disease (CVD) remains one of the most critical public health challenges worldwide, requiring early identification of high-risk patients to reduce adverse outcomes such as myocardial inf...
Swarm Intelligence-Optimized Support Vector Machine for Breast Cancer Diagnosis in Imbalanced Clinical Datasets.
Breast cancer remains the most prevalent malignancy among women globally, accounting for over 2.3 million new diagnoses annually, making early and accurate diagnosis a decisive factor in reducing mort...
Multi-Modal Deep Learning Approach for Brain Tumor Classification Using MRI Images and Clinical Metadata.
Brain tumors represent one of the most aggressive and life-threatening neurological malignancies, with accurate and timely classification being paramount for determining appropriate treatment strategi...
Hybrid Optimization of Recurrent Neural Networks for Accurate Prediction of ICU Patient Mortality Rates.
Accurate prediction of mortality rates among Intensive Care Unit (ICU) patients is a critical challenge in modern clinical medicine, as timely risk stratification enables physicians to prioritize inte...
A Deep Learning-Based Framework for Early Detection of Diabetic Retinopathy Using Convolutional Neural Networks and Transfer Learning.
Diabetic retinopathy (DR) remains one of the leading causes of preventable blindness Worldwide, with its prevalence continuing to rise in parallel with the global diabetes epidemic. Early an...