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 …

Background Natural language processing applied to clinical text or aimed at a clinical
outcome has been thriving in recent years. This paper offers the first broad overview of …

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 …

Entity and relation extraction is the necessary step in structuring medical text. However, the
feature extraction ability of the bidirectional long short term memory network in the existing …

In recent years the amount of experimental data that is produced in biomedical research and
the number of papers that are being published in this field have grown rapidly. In order to …

Clinical named entity recognition aims to identify and classify clinical terms such as
diseases, symptoms, treatments, exams, and body parts in electronic health records, which …

Automatic de-identification is a cost-effective and straightforward way of removing large
amounts of personally identifiable information from large and sensitive corpora. However …

In health care information systems, electronic health records are an important part of the
knowledge concerning individual health histories. Extracting valuable knowledge from these …

Background: Interoperability and secondary use of data is a challenge in health care.
Specifically, the reuse of clinical free text remains an unresolved problem. The Systematized …

Context Clinicians document cancer patients' symptoms in free-text format within electronic
health record visit notes. Although symptoms are critically important to quality of life and …