Volume 3, Issue 3

An Adaptive Machine Learning Approach for Semantic Analysis to Extract Medical Knowledge

Author

Anushaa Putta*and RamaJanaki Devi Ramireddy

Abstract

Machine learning approach over medical datasets is still an important research issue in recent days of technology in medical field. In our approach we are proposing an efficient classification approach for analysis of testing samples with training samples. Initially we train the medical abstracts by identifying disease and treatment and then forwards these informative and non informative sentences towards word of bag (Cure, prevent, etc.) to extract positive and negative sentences and finally update them in database for future classification of testing samples.

DOI

https://doi.org/10.62226/ijarst20140335

PAGES : 140-144 | 37 VIEWS | 76 DOWNLOADS


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Anushaa Putta*and RamaJanaki Devi Ramireddy | An Adaptive Machine Learning Approach for Semantic Analysis to Extract Medical Knowledge | DOI : https://doi.org/10.62226/ijarst20140335

Journal Frequency: ISSN 2320-1126, Monthly
Paper Submission: Throughout the month
Acceptance Notification: Within 6 days
Subject Areas: Engineering, Science & Technology
Publishing Model: Open Access
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