Developing a natural language processing application for measuring the quality of colonoscopy procedures

TL;DR: A critical overview of the current state of the art for TM related to cancer is provided and a strong bias towards symbolic methods is highlighted, e.g. named entity recognition based on dictionary lookup and information extraction relying on pattern matching.

TL;DR: Reuse of clinical data is a fast-growing field recognized as essential to realize the potentials for high quality healthcare, improved healthcare management, reduced healthcare costs, population health management, and effective clinical research.

TL;DR: This literature review provides a methodology review of clinical concept extraction, aiming to catalog development processes, available methods and tools, and specific considerations when developingclinical concept extraction applications.

TL;DR: The challenges faced and lessons learned in adapting an existing NLP system for measuring colonoscopy quality and how to make it easier to adapt NLP systems to new clinical settings are described.

TL;DR: The American Cancer Society as mentioned in this paper estimated the number of new cancer cases and deaths expected in the United States in the current year and compiles the most recent data regarding cancer incidence, mortality, and survival based on incidence data from the National Cancer Institute, the Centers for Disease Control and Prevention, and the North American Association of Central Cancer Registries and mortality data from National Center for Health Statistics.

TL;DR: The deficits the authors have identified in adherence to recommended processes for basic care pose serious threats to the health of the American public and strategies to reduce these deficits in care are warranted.

TL;DR: This book takes an empirical approach to language processing, based on applying statistical and other machine-learning algorithms to large corpora, to demonstrate how the same algorithm can be used for speech recognition and word-sense disambiguation.

TL;DR: The results of the National Polyp Study support the view that colorectal adenomas progress to adenocarcinomas, as well as the current practice of searching for and removing adenomatous polyps to prevent coloreCTal cancer.