This position paper investigates the problem of automated text anonymisation, which is a
prerequisite for secure sharing of documents containing sensitive information about …

Background: De-identification and anonymization are strategies that are used to remove
patient identifiers in electronic health record data. The use of these strategies in multicenter …

Hercules Dalianis Secondary Use of Electronic Patient Records Page 1 Hercules Dalianis
Clinical Text Mining Secondary Use of Electronic Patient Records Page 2 Clinical Text …

We present a novel benchmark and associated evaluation metrics for assessing the
performance of text anonymization methods. Text anonymization, defined as the task of …

In order to use medical text for research purposes, it is necessary to de-identify the text for
legal and privacy reasons. We report on a pattern matching method to automatically de …

Abstract Background The United Nations recently made a call to address the challenges of
an estimated 300 million persons worldwide living with a rare disease through the collection …

The enormous amounts of data that are generated in the healthcare process and stored in
electronic health record (EHR) systems are an underutilized resource that, with the use of …

New approaches to biomedical text mining crucially depend on the existence of
comprehensive annotated corpora. Such corpora, commonly called gold standards, are …

Objective De-identification allows faster and more collaborative clinical research while
protecting patient confidentiality. Clinical narrative de-identification is a tedious process that …

Sentiment analysis plays a key role in companies, especially stores, and increasing the
accuracy in determining customers' opinions about products assists to maintain their …