Hepatitis C continues to be a major health concern in the Philippines, yet machine learning based decision support tools with Explainable AI remain limited in number. This study aims to develop an interpretable, web-based ...

Accurate and efficient extraction of ICD-10 codes from electronic medical records (EMRs) remains a critical task for automating clinical documentation and supporting healthcare analytics. However, the large size and ...

Communication barriers between deaf and hearing individuals, particularly in Philippine healthcare settings, are exacerbated by the scarcity of Filipino Sign Language (FSL) interpreters and limited FSL knowledge among ...

ML algorithms play a vital role in health data analytics in such a way that medical institutions and health practitioners can use them in exploring big data and identifying health trends essential to public health knowledge ...

Intracranial hemorrhage (ICH) is a life-threatening condition that requires a timely and accurate prognosis to guide critical clinical decisions. Traditionally, radiologists and clinicians assess prognosis through the ...

This study presents the development and evaluation of ResisTrack, a deep learningbased web diagnostic system for classifying drug-resistant tuberculosis (TB) using chest X-ray (CXR) images. The classification targets ...

This study presents an automated timetabling system developed to address the inefficiencies of manual class scheduling at the University of the Philippines Manila (UPM), where diverse departmental constraints often result ...

Stroke is a cerebrovascular disease caused by an infarction or hemorrhage in the brain, potentially leaving irreversible tissue damage, loss of neurons, and physiological damage. Furthermore, it is the third leading cause ...

This study addressed the privacy challenges in genome-wide association studies (GWAS) by developing a secure system that performs computations directly on encrypted genotype data using Fully Homomorphic Encryption (FHE). ...

Facial Expression Recognition (FER) is a vital component in human-computer interaction, enabling machines to interpret human emotions. Deep learning models, particularly Convolutional Neural Networks (CNNs), have ...