FMDB Transactions on Sustainable Health Science Letters
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Fernando Martins De Bulhão is a member of
FMDB Transactions on Sustainable Health Science Letters
2026
Vol.4
No.2
eISSN: 2993-6896
Editor: Ela Vashishtha
| Pages | Title and author(s) |
|---|---|
| 82-101 | An Improved Deep Learning Framework for the Adoption of Metaverse in Medical Image Processing Anuj Kumar, Satya Prakash Yadav, Awadhesh Kumar Keywords: Medical Professionals; Virtual Environment; Rapid Adaptation; Neural Networks; Healthcare Technology; Comprehensive Solution; Model Accuracy; Data Analysis; Digital Health. DOI: 10.69888/FTSHSL.2026.000635 |
| 102-118 | Random Competition Wild Horse Optimizer and Improved Deep Belief Network Framework for Chronic Disease Detection R. Arulmathi, M. Sakthivanitha Keywords: Chronic Disease Prediction; Missing Data Imputation; Data Normalisation; Feature Selection; Classification and Optimisation; Machine Learning; Deep Learning. DOI: 10.69888/FTSHSL.2026.000636 |
| 119-128 | A Hybrid Deep Learning and Multi-Criteria Optimization Framework for Intelligent and Accurate Kidney Donor–Recipient Matching P. Kiruthiga, S. Silvia Priscila Keywords: Kidney Transplantation; Multi-Criteria Optimization; Organ Matching; Graft Survival; Neural Network Libraries; Powerful Optimization; Predictive Models; Real-Time Data Transplantation. DOI: 10.69888/FTSHSL.2026.000637 |
| 129-140 | Predictive Analysis for Stroke in Genetically Predisposed Diabetic Patients Using Glycemic Variability Patterns S. Jaya Varshini, Balika J. Chelliah, Shriya Santosh, Akshay Sai Abbireddy, G. Mary Amirtha Sagayee Keywords: Stroke Prediction; Diabetes Mellitus; Glycemic Variability; Machine Learning; Extra Trees; MLP Neural Network; Stacking Ensemble; Predictive Analytics; Healthcare Data Analysis. DOI: 10.69888/FTSHSL.2026.000638 |
| 141-153 | Comparative Analysis of Multimodal Data Fusion Techniques for Automated Mental Health Monitoring Aswana Lal, Chettiyar Vani Vivekanand Keywords: Multimodal Depression Detection; Speech-Based Assessment; Behavioral Biomarkers; Affective Computing; Digital Phenotyping; Federated Learning; Mental Health Monitoring. DOI: 10.69888/FTSHSL.2026.000639 |