5 papers
Extracting Breast Cancer Phenotypes from Clinical Notes: Comparing LLMs with Classical Ontology Methods
Abdullah Bin Faiz, Arbaz Khan Shehzad, Asad Afzal +5
A significant amount of data held in Oncology Electronic Medical Records (EMRs) is contained in unstructured provider notes -- including but not limited to the chemotherapy (or can…
A Hybrid AI and Rule-Based Decision Support System for Disease Diagnosis and Management Using Labs
Muhammad Hammad Maqsood, Mubashir Sajid, Khubaib Ahmed +2
This research paper outlines the development and implementation of a novel Clinical Decision Support System (CDSS) that integrates AI predictive modeling with medical knowledge bas…
Survival Meets Classification: A Novel Framework for Early Risk Prediction Models of Chronic Diseases
Shaheer Ahmad Khan, Muhammad Usamah Shahid, Muddassar Farooq
Chronic diseases are long-lasting conditions that require lifelong medical attention. Using big EMR data, we have developed early disease risk prediction models for five common chr…
Leveraging Large Language Models and Survival Analysis for Early Prediction of Chemotherapy Outcomes
Muhammad Faisal Shahid, Asad Afzal, Abdullah Faiz +5
Chemotherapy for cancer treatment is costly and accompanied by severe side effects, highlighting the critical need for early prediction of treatment outcomes to improve patient man…
An Explainable Disease Surveillance System for Early Prediction of Multiple Chronic Diseases
Shaheer Ahmad Khan, Muhammad Usamah Shahid, Ahmad Abdullah +2
This study addresses a critical gap in the healthcare system by developing a clinically meaningful, practical, and explainable disease surveillance system for multiple chronic dise…