Background: Clinical narratives represent the main form of communication within health
care, providing a personalized account of patient history and assessments, and offering rich …

Mobile health (m‐health) is the term of monitoring the health using mobile phones and
patient monitoring devices etc. It has been often deemed as the substantial breakthrough in …

Over the last decade, the healthcare sector has accelerated its digitization and electronic
health records (EHRs). As information technology progresses, the notion of intelligent health …

Background Machine learning has attracted considerable research interest toward
developing smart digital health interventions. These interventions have the potential to …

The primary objective of implementing Electronic Health Records (EHRs) is to improve the
management of patients' health-related information. However, these records have also been …

Background Concept extraction, a subdomain of natural language processing (NLP) with a
focus on extracting concepts of interest, has been adopted to computationally extract clinical …

Objective Natural language processing (NLP) combined with machine learning (ML)
techniques are increasingly used to process unstructured/free-text patient-reported outcome …

Objective To develop soft prompt-based learning architecture for large language models
(LLMs), examine prompt-tuning using frozen/unfrozen LLMs, and assess their abilities in …

Background Physician chart documentation can facilitate patient care decisions, reduce
treatment errors, and inform health system planning and resource allocation activities …

Objective There is a lot of information about cancer in Electronic Health Record (EHR) notes
that can be useful for biomedical research provided natural language processing (NLP) …