An Ideology for the Prediction of Critical Haplotype Blocks of Variants in Genes (Cyp2c9 And Vkorc1) for Warfarin (Anticoagulant) Drug Dosage to Treat Heart Patients Efficiently by Using Ml (Machine Learning) and Data Stream Mining Techniques. - Hina Saeeda; Muhammad Adil Abid (ICAIP, 2019)

A proposed framework for improved software requirements elicitation process in SCRUM: Implementation by a real-life Norway-based IT project. - Hina Saeeda; Junyu Dong; Yong Wang; Muhammad Adil Abid (J. Softw. Evol. Process., 2020)

A Genetic Algorithm for Optimizing Mobile Stroke Unit Deployment. - Muhammad Adil Abid; Saeid Amouzad Mahdiraji; Fabian Lorig; Johan Holmgren; Radu-Casian Mihailescu; Jesper Petersson (KES, 2023)

Ambulance Travel Time Estimation using Spatiotemporal Data. - Muhammad Adil Abid; Fabian Lorig; Johan Holmgren; Jesper Petersson (ANT/EDI40, 2024)

An Enhanced Genetic Algorithm With Clustering for Optimizing Mobile Stroke Unit Deployment. - Muhammad Adil Abid; Johan Holmgren; Fabian Lorig; Jesper Petersson (BIBE, 2024)

Integrating Machine Learning-Based Ambulance Travel Time Estimation into an Emergency Medical Services Simulation Modeling Framework. - Saeid Amouzad Mahdiraji; Muhammad Adil Abid; Johan Holmgren (EUSPN/ICTH, 2024)

Quality Clustering for Reducing the Search Space for Mobile Stroke Unit Allocation. - Muhammad Adil Abid; Johan Holmgren; Fabian Lorig; Jesper Petersson (BIOSTEC (2): HEALTHINF, 2025)