Volume : VIII, Issue : VI, June - 2019

SENTIMENT ANALYSIS AND MACHINE LEARNING ON CLINICAL TEXT: AN OVERVIEW

Mily Lal, Mohini Avatade, Rachana Mudholkar

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.

Article: Download PDF    DOI : https://www.doi.org/10.36106/paripex  

Cite This Article:

SENTIMENT ANALYSIS AND MACHINE LEARNING ON CLINICAL TEXT: AN OVERVIEW, Mily Lal, Mohini Avatade, Rachana Mudholkar PARIPEX‾INDIAN JOURNAL OF RESEARCH : Volume-8 | Issue-6 | June-2019


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