[HTML][HTML] A survey of multimodal information fusion for smart healthcare: Mapping the journey from data to wisdom

T Shaik, X Tao, L Li, H Xie, JD Velásquez - Information Fusion, 2024 - Elsevier
Multimodal medical data fusion has emerged as a transformative approach in smart
healthcare, enabling a comprehensive understanding of patient health and personalized …

Machine learning classifiers on breast cancer recurrences

VPC Magboo, MSA Magboo - Procedia Computer Science, 2021 - Elsevier
Breast cancer remains to be a leading cause of cancer-related deaths among women.
Mortality is mainly attributed to metastasis and recurrence. Hence, early detection of breast …

Diagnosis of coronary artery disease from myocardial perfusion imaging using convolutional neural networks

VPC Magboo, MSA Magboo - Procedia Computer Science, 2023 - Elsevier
Cardiovascular disease is a highly prevalent health problem in both underdeveloped and
developing countries worldwide. As such, it remains to be one of the top health priorities in …

Roses greenhouse cultivation classification using machine learning techniques

JP Albarico, GRF La Rosa, RADJ Santos… - Procedia Computer …, 2023 - Elsevier
There is a demand for flowers globally all year round, more particularly roses, necessitating
increased production for flowers. Demand for roses has increased due to their year-long …

Imputation techniques and recursive feature elimination in machine learning applied to type II diabetes classification

VP Catimbang Magboo, MS Abad Magboo - Proceedings of the 2021 4th …, 2021 - dl.acm.org
Type II diabetes is a chronic metabolic disease secondary to elevated blood glucose levels.
Complications of this disease include heart attack, stroke, blindness, renal failure, lower limb …

Detection of Brain Tumors from MRI Images using Convolutional Neural Networks

MSA Magboo, VPC Magboo - 2022 5th International …, 2022 - ieeexplore.ieee.org
There are more than 150 different brain tumors but can be grouped into two main types:
primary and metastatic. Presently, magnetic resonance imaging (MRI) is the imaging of …

[HTML][HTML] SPECT-MPI for Coronary Artery Disease: A Deep Learning Approach

VPC Magboo, MSA Magboo - Acta Medica Philippina, 2024 - ncbi.nlm.nih.gov
Background Worldwide, coronary artery disease (CAD) is a leading cause of mortality and
morbidity and remains to be a top health priority in many countries. A non-invasive imaging …

Cardiovascular disease prediction with imputation techniques and recursive feature elimination

VPC Magboo, MSA Magboo - AIP Conference Proceedings, 2023 - pubs.aip.org
Heart disease is a chronic medical condition with significant burden to healthcare systems.
Around 17.9 million deaths were attributed to diseases of the heart last 2019. Important risk …

Breast Tumor Classification Using EfficientNet Deep Learning Model

M Behzadpour, BL Ortiz, E Azizi, K Wu - arXiv preprint arXiv:2411.17870, 2024 - arxiv.org
Precise breast cancer classification on histopathological images has the potential to greatly
improve the diagnosis and patient outcome in oncology. The data imbalance problem …

Classification Models for Autism Spectrum Disorder

VPC Magboo, MSA Magboo - … on Artificial Intelligence and Data Science, 2021 - Springer
Autism spectrum disorder (ASD) is a neurodevelopmental disorder affecting all age groups.
A diagnosis of ASD require an exhaustive and time-consuming evaluation by a health …