In this dissertation, we focus on applying a combination of text mining, machine learning and
statistical inference to study how data generated by potential healthcare consumers can be …

People generate and are exposed to vast amounts of text data as they search for information
on the Internet, read and share news articles, generate social media posts, chat with friends …

Health informatics deals with applying informatics to medicine and healthcare that aims to
store, process, and retrieve large amounts of healthcare data to enable optimal collaboration …

In an era when most of our life activities are digitized and recorded, opportunities abound to
gain insights about population health. Online product reviews present a unique data source …

Text is the most widely used means of communication today. This data is abundant but
nevertheless complex to exploit within algorithms. For years, scientists have been trying to …

Written language is the primary means by which scientific research findings are
disseminated. Yet in the era of information overload, dissemination of a field of research may …

Every day insurance companies collect an enormous quantity of text data from multiple
sources. By exploiting Natural Language Processing, we present a strategy to make …

Every day insurance companies collect an enormous quantity of text data from multiple
sources. By exploiting Natural Language Processing, we present a strategy to make …

• Includes Text Mining and Natural Language Processing Methods for extracting information
from electronic health records and biomedical literature.• Analyzes text analytic tools for new …

Though the strong evolution of knowledge learning models has characterized the last few
years, the explanation of a phenomenon from text documents, called descriptive text mining …