Health care professionals produce abundant textual information in their daily clinical
practice and this information is stored in many diverse sources and, generally, in textual …

Medical institutes use Electronic Medical Record (EMR) to record a series of medical events,
including diagnostic information (diagnosis codes), procedures performed (procedure …

Accurate risk stratification using patient data is a vital task in channeling prioritized care.
Most state-of-the-art models are predominantly reliant on digitized data in the form of …

From medical charts to national census, healthcare has traditionally operated under a paper-
based paradigm. However, the past decade has marked a long and arduous transformation …

The International Statistical Classification of Disease and Related Health Problems (ICD) is
an international standard system for categorizing and reporting diseases, injuries, disorders …

Medicine is a knowledge area continuously experiencing changes. Every day, discoveries
and procedures are tested with the goal of providing improved service and quality of life to …

Healthcare professionals produce abounding textual data in their daily clinical practice. Text
mining can yield valuable insights from unstructured data. Extracting insights from multiple …

The existence of massive quantity of clinical text in electronic medical records (EMRs) has
created significant demand for clinical text processing and information extraction in the field …

Understanding the common or different characteristics of sublanguages in clinical
documents through corpus analysis is essential for downstream applications of clinical …

Over the last year, the evolution in Robotic Process Automation (RPA) has been staggering.
The automation it brings to applications has yielded efficiency, reduced operating costs, and …