We are not able to deal with a mammoth text corpus without summarizing them into a
relatively small subset. A computational tool is extremely needed to understand such a …

Topic modeling is a machine learning algorithm based on statistics that follows
unsupervised machine learning techniques for mapping a high-dimensional corpus to a low …

Background Machine learning (ML) has demonstrated success in classifying patients'
diagnostic outcomes in free-text clinical notes. However, due to the machine learning …

Electronic health records, as a repository, of patient information, is nowadays the most
commonly used technology to record, store and review patient clinical records and perform …

Electronic health records (EHRs) are increasingly becoming common in healthcare delivery
settings, enabling physicians to continuously document patients' care episodes in EHRs and …

The rapid growth in the number of electronic documents has resulted in the information
overload problem. Text mining is an exciting research area that has the potential to provide …

Senior adult falls are one of the leading causes of injury and death. The analysis of social
determinants and healthcare utilization for senior patients with a history of falls is limited …

Social media platforms have become a place where online communities are grouped to
discuss special issues and share experiences. Online Support Groups are created in the …