Ontology-based and User-focused Automatic Text Summarization (OATS): Using COVID-19 Risk Factors as an Example

no code implementations • 18 Nov 2020 • Po-Hsu Allen Chen, Amy Leibrand, Jordan Vasko, Mitch Gauthier

This paper proposes a novel Ontology-based and user-focused Automatic Text Summarization (OATS) system, in the setting where the goal is to automatically generate text summarization from unstructured text by extracting sentences containing the information that aligns to the user's focus.

Question Answering Text Summarization

CMS Sematrix: A Tool to Aid the Development of Clinical Quality Measures (CQMs)

no code implementations • 5 Feb 2019 • Michael A. Schwemmer, Po-Hsu Chen, Mithun Balakrishna, Amy Leibrand, Aaron Leonard, Nancy J. McMillan, Jeffrey J. Geppert

As part of the effort to improve quality and to reduce national healthcare costs, the Centers for Medicare and Medicaid Services (CMS) are responsible for creating and maintaining an array of clinical quality measures (CQMs) for assessing healthcare structure, process, outcome, and patient experience across various conditions, clinical specialties, and settings.