MITSOL combines software engineering with applied research to develop intelligent, secure, and practical digital solutions.
Our innovation work focuses on practical technologies that solve real business, institutional, and community problems.
Applied predictive modelling for healthcare decision support and early risk identification.
Using intelligent models to support business insight, planning, and operational decisions.
Research and advisory work for secure systems, networks, users, and digital operations.
Practical health technology systems for clinical workflows, reporting, and institutional management.
Selected publications, research projects, and academic contributions from MITSOL.
Machine Learning, Artificial Intelligence, Health Informatics, Predictive Analytics, Medical Decision Support
November 2025
This study presents a machine learning model for the early detection of sexually transmitted infections using symptom-based clinical data. Five supervised learning algorithms were evaluated: AdaBoost, Decision Tree, …
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