Acute coronary syndrome (ACS) is a leading cause of mortality and morbidity. Predicting the
associated risks of patients with chest pain using electronic health record data can help …

Background The COVID-19 pandemic has led to an unprecedented amount of scientific
publications, growing at a pace never seen before. Multiple living systematic reviews have …

Heterogeneous domain adaptation (HDA) aims to adapt a trained model on a source
domain with different input feature space to an unlabeled target domain. In fact, HDA is a …

Sorting out the legal documents by their subject matter is an essential and time-consuming
task due to the large amount of data. Many machine learning-based text categorization …

Qualitative coding, or content analysis, extracts meaning from text to discern quantitative
patterns across a corpus of texts. Recently, advances in the interpretive abilities of large …

Electronic Medical Record (EMR) is an important element of information technology in
healthcare sector. EMR is an electronic record containing health-related information on …

In this article, I discuss the use of artificial intelligence (AI) in evaluation and its relevance to
the evolution of the field. I begin with a background on how AI models are developed …

How to use advanced deep learning technology to build an effective and powerful text
classification model, extract text semantic attributes and achieve good classification results …

The automatic categorization of crime news is useful to create statistics on the type of crimes
occurring in a certain area. This assignment can be treated as a text categorization problem …

Text categorization (TC) is a machine learning task that tries to assign a text to one of the
predefined categories. In a nutshell, texts are converted into numerical feature vectors in …