The objectives of this study were to structure otorhinolaryngology discharge summaries with
text mining methods and analyze structured data and extract relational rules using …

Patients diagnosed with chronic conditions are visited multiple times over the years. The
medical reports produced during these visits often include valuable knowledge in the form of …

Annotation of clinical datasets is a process of discovery of clinical concepts and their
association with machine readable constructs. The purpose of the process is to expose …

Objective: An accurate, comprehensive and up-to-date problem list can help clinicians focus
on providing patient-centered care. In this study, we report on physicians' assessment of IBM …

Objectives: This manuscript reviews the current state of veterinary medical electronic health
records and the ability to aggregate and analyze large datasets from multiple organizations …

Η εξατομικευμένη ιατρική αναπτύχθηκε τα τελευταία χρόνια ως μια νέα θεραπευτική
προσέγγιση που αφορά τη θεραπεία και περίθαλψη ενός ασθενή με γνώμονα τις βιολογικές …

Natural language processing (NLP) is the ability for computers to understand human
language. Despite extensive research in NLP, some challenging problems still exist. In this …

The importance of Clinical Data Warehouses (CDW) has increased significantly in recent
years as they support or enable many applications such as clinical trials, data mining, and …

In healthcare, vast amounts of data are stored digitally in the electronic health records
(EHRs). EHRs represent a largely untapped source of clinically relevant information, which …

Electronic health records represent a great source of valuable information for both patient
care and biomedical research. Despite the efforts put into collecting structured data, a lot of …