The explosive growth of online education environments is generating a massive volume of
data, specially in text format from forums, chats, social networks, assessments, essays …

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 …

The advancement of natural language processing and text mining techniques facilitate
automatic non-trivial pattern extraction and knowledge discovery from text data. However …

Breast cancer is a prevalent disease that affects mostly women, and early diagnosis will
expedite the treatment of this ailment. Recently, machine learning (ML) techniques have …

The past decade has witnessed an explosion of textual information in the biomedical field.
Biomedical texts provide a basis for healthcare delivery, knowledge discovery, and decision …

Introduction Most hospital assessment systems are based on the study of objective statistical
variables as well as patient opinions on their experiences with respect to the services …

Research on evidence-based marine policymaking is still immature, especially regarding
the utilization of text data. This study visualized the transition of ocean policy in Japan using …

Purpose Computational text mining methods are proposed as a useful methodological
innovation in Intimate Partner Violence (IPV) research. Text mining can offer researchers …

Abstract Social Determinants of Health (SDoH) are an increasingly important part of the
broader research and public health efforts in understanding individuals' physical and mental …

In line with the current trajectory of healthcare reform, significant emphasis has been placed
on improving the utilization of data collected during a clinical encounter. Although the …