The aim of this study is to analyze the effects of lockdown using natural language processing
techniques, particularly sentiment analysis methods applied at large scale. Further, our work …

Personalized medicine is being realized by our ability to measure biological and
environmental information about patients. Much of these data are being stored in electronic …

Big real data are being created by the widespread introduction of electronic health record
systems in healthcare, which create new spaces for clinical study. Since a great deal of …

Electronic health records (EHRs) have created great opportunities to collect various
information from clinical patient encounters. However, most EHR data are stored in …

Resuscitation after global brain ischemia-anoxia : Critical Care Medicine Resuscitation after
global brain ischemia-anoxia : Critical Care Medicine SCCM Pediatric Critical Care Medicine …

Background Heart failure (HF) is a major cause of morbidity and mortality. However, much of
the clinical data is unstructured in the form of radiology reports, while the process of data …

Clinical narratives are a valuable source of information for both patient care and biomedical
research. Given the unstructured nature of medical reports, specific automatic techniques …

Background The COVID-19 pandemic has changed the usual working of many
hospitalization units (or wards). Few studies have used electronic nursing clinical notes …

Background Merging disparate and heterogeneous datasets from clinical routine in a
standardized and semantically enriched format to enable a multiple use of data also means …

Unlike human medical records, most of the veterinary records are free text without standard
diagnosis coding. The lack of systematic coding is a major barrier to the growing interest in …