JCSIS
JCSIS

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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2,773

ONLINE ARTICLES

1,422

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Explore our collection of 71 published research papers

Sep 08, 2026 7

A Metaheuristic-Enhanced Convolutional Neural Network for Skin Lesion Detection and Melanoma Classification Using Grey Wolf Optimizer and Genetic Algorithm

Weiguo Gee
Skin cancer represents one of the most common and clinically significant malignancies worldwide, with melanoma being particularly aggressive due to its high metastatic potential and strong d...

Sep 08, 2026 7

Optimizing Radiotherapy Dose Delivery in Personalized Cancer Treatment Using Deep Reinforcement Learning

Weiguo Gee
Personalized cancer treatment planning is a complex clinical decision-making process that requires the optimal selection of therapeutic strategies while balancing tumor control, patientspecific a...

Sep 08, 2026 7

Attention-Augmented Bidirectional LSTM for Real-Time Sepsis Prediction in the Emergency Department

Weiguo Gee
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 ...

Sep 08, 2026 7

Federated U-Net with Differential Privacy for Multi-Center Medical Image Segmentation Across Distributed Hospitals

Weiguo Gee
The rapid growth of unstructured clinical text within Electronic Health Records (EHRs), discharge summaries, medication notes, progress reports, and spontaneous drug safety reports has creat...

Sep 08, 2026 7

Explainable Machine Learning for Cardiovascular Disease Risk Stratification Using Electronic Health Records: An XGBoost–SHAP Framework

Weiguo Gee
Medical image segmentation plays a fundamental role in computer-aided diagnosis, treatment planning, surgical navigation, radiotherapy guidance, and longitudinal disease monitoring. However,...

Sep 08, 2026 7

Explainable Machine Learning for Cardiovascular Disease Risk Stratification Using Electronic Health Records: An XGBoost–SHAP Framework

Sam M. K.
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 myoc...

Sep 08, 2026 7

Particle Swarm Optimization and SMOTE-Enhanced Support Vector Machine for Breast Cancer Diagnosis in Imbalanced Clinical Datasets

Sam M. K.
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 red...

Sep 08, 2026 7

A Hybrid Multi-Modal Deep Learning Architecture for Brain Tumor Classification from MRI and Electronic Health Records

Sam M. K.
Brain tumors represent one of the most aggressive and life-threatening neurological malignancies, with accurate and timely classification being paramount for determining appropriate treatmen...

Sep 08, 2026 7

Enhancing ICU Mortality Prediction through Hybrid-Optimized Recurrent Neural Networks

Sam M. K.
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 prior...

Sep 08, 2026 7

Explainable Deep Transfer Learning for Automated Early Detection and Grading of Diabetic Retinopathy from Fundus Images

Sam M. K.
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...

Jun 15, 2026 Volume 5

Large Language Model Fine-Tuning for Domain-Specific Knowledge Extraction in Renewable Energy, Medical, and Financial Research Literature

Nader Behdad
Domain-specific research literature in renewable energy, medical sciences, and finance contains extensive specialized knowledge, including technical terminology, methodological descriptions, experimen...

Jun 15, 2026 Volume 5

Adaptive Neuro-Fuzzy Inference System Optimized by Cuckoo Search Algorithm for Multi-Domain Regression and Classification Problems.

Nader Behdad
Multi-domain regression and classification problems are characterized by heterogeneous data structures, nonlinear input-output relationships, uncertainty, noise, missing values, and domain-specific fe...