Machine learning (ML) has been slowly entering every aspect of our lives and its positive
impact has been astonishing. To accelerate embedding ML in more applications and …

The pervasive use of electronic health databases has increased the accessibility of free-text
clinical reports for supplementary use. Several text classification approaches, such as …

Even after making allowance for an unprecedented hype, it is an undeniable fact that, in the
coming decade, deployment of Artificial Intelligence (AI) will cause a paradigm shift in the …

Multimodal sensors in healthcare applications have been increasingly researched because
it facilitates automatic and comprehensive monitoring of human behaviors, high-intensity …

Abstract Background The International Classification of Diseases, 10th Revision (ICD-10)
has been widely used to describe the diagnosis information of patients. Automatic ICD-10 …

Abstract Natural Language Processing (NLP) can offer important tools for unlocking relevant
information from clinical narratives. Although Transformer-based models can achieve …

Shortest path problem is one of the most fundamental and well-known optimization
problems in graph theory due to its various real-world applications. Fuzzy set can manage …

Background Automated disease code classification using free-text medical information is
important for public health surveillance. However, traditional natural language processing …

Background and objectives The 10th version of International Classification of Diseases (ICD-
10) codification system has been widely adopted by the health systems of many countries …

Objectives To develop an automated international classification of diseases (ICD) coding
tool using natural language processing (NLP) and discharge summary texts from Thailand …