Anushaa Putta*and RamaJanaki Devi Ramireddy
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.
https://doi.org/10.62226/ijarst20140335
PAGES : 140-144 | 37 VIEWS | 76 DOWNLOADS
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 | |
Publication Fee: | USD 60 USD 50 | |
Publication Impact Factor: | 6.76 | |
Certificate Delivery: | Digital |