Heart diseases are highly ranked among the leading causes of mortality in the world. They
have various types including vascular, ischemic, and hypertensive heart disease. A large …

Automatic clinical coding is an essential task in the process of extracting relevant information
from unstructured documents contained in electronic health records (EHRs). However, most …

Abstract Background and Objective Automatic clinical coding is a crucial task in the process
of extracting relevant information from unstructured medical documents contained in …

Interactions between the scientific community and policymakers have substantially
increased over the past two decades, reflecting a collective effort to craft evidence-based …

Background This work deals with Natural Language Processing applied to Electronic Health
Records (EHRs). EHRs are coded following the International Classification of Diseases …

Cardiovascular diseases, prevalent as leading health concerns, demand early diagnosis for
effective risk prevention. Despite numerous diagnostic models, challenges persist in network …

A key goal of disease surveillance is to identify outbreaks of known or novel diseases in a
timely manner. Such an outbreak occurred in the UK associated with acute vomiting in dogs …

The fast growth of Electronic Medical Records (EMR) has improved its functionalities and
increase its use in secondary functions. EMRs can be used to improve the quality and …

Background and objective: This work deals with clinical text mining, a field of Natural
Language Processing applied to biomedical informatics. The aim is to classify Electronic …

Objective: Medical coding is used to identify and standardize clinical concepts in the records
collected from healthcare services. The tenth revision of the International Classification of …