SENTIMENT ANALYSIS AND MACHINE LEARNING ON CLINICAL TEXT: AN OVERVIEW
Journal Title: PARIPEX-Indian Journal of Research - Year 2019, Vol 8, Issue 6
Abstract
This paper presents an overview of the various semantic analysis methods on clinical text and with the support of machine learning techniques will help in identification of documentation reflecting advanced health care planning measures and serious illness symptoms. Doctors document their communication as unstructured free text in clinical notes. Routine assessment of unstructured data is time consuming and costly. Semantic analysis methods can offer an efficient way to access and predict within electronic health record data, helping to better quality of care.
Authors and Affiliations
Mily Lal, Mohini Avatade, Rachana Mudholkar
Keywords
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