معرفی
Areej Alhassan is a Lecturer at King Saud University and a Doctor of Philosophy candidate in the Department of Computer Science at the University of Manchester. Her research specializes in natural language processing for clinical and biomedical applications.
She investigates computational methods for extracting structured information from unstructured clinical texts, with particular focus on recognizing discontinuous named entities in medical literature. Her work addresses challenges in processing complex medical terminology and documentation patterns.
Publication records show specialization in clinical NLP techniques, specifically methods for handling discontinuous entity recognition challenges in medical texts. This work bridges computational linguistics and healthcare informatics domains.
حوزههای پژوهشی
