We followed a systematic approach based on the Preferred Reporting Items for Systematic
Reviews and Meta-Analyses to identify existing clinical natural language processing (NLP) …

Purpose This paper reviews the research literature on text mining (TM) with the aim to find
out (1) which cancer domains have been the subject of TM efforts,(2) which knowledge …

We aim to build and evaluate an open-source natural language processing system for
information extraction from electronic medical record clinical free-text. We describe and …

We, the Editors and Publisher of the journal Current Medical Research and Opinion, have
retracted the following article: Mohamed Mediouni, Daniel R. Schlatterer, Henning Madry …

Abstract Purpose of Review Our goal is to provide an overview of machine learning methods
and artificial intelligence in digital pathology image analysis. We also highlight novel …

The increasing availability of electronic health records (EHRs) creates opportunities for
automated extraction of information from clinical text. We hypothesized that natural language …

PURPOSE The advancement of natural language processing (NLP) has promoted the use
of detailed textual data in electronic health records (EHRs) to support cancer research and …

Background Natural language processing (NLP) applications are increasingly important in
biomedical data analysis, knowledge engineering, and decision support. Concept …

Objective There is a lot of information about cancer in Electronic Health Record (EHR) notes
that can be useful for biomedical research provided natural language processing (NLP) …

Abstract The Breast Imaging Reporting and Data System (BI-RADS) was developed to
reduce variation in the descriptions of findings. Manual analysis of breast radiology report …