A System for Recommendation of Medication Using Gaussian Naïve Bayes Classifier

Authors

  • Amitha Department of Information Science and Engineering, R V College of Engineering, Bangalore, India Author
  • Merin Meleet Department of Information Science and Engineering, R V College of Engineering, Bangalore, India Author

Keywords:

Clinical Notes, Extraction, Classification, Recommendation, Naive Bayes Classifier

Abstract

 As the medical data keeps growing day by day, it is  difficult to search for relevant information from the huge data.  Improper medications may lead to serious health risks and  even may result in the death of the patient. The recommender  systems can be used to provide suggestions based on the health  status. This approach aims to develop an efficient  recommendation system which is responsible for  recommending medicines for the disease based on the  symptoms. This system would help the doctors in prescribing  medications correctly without medication errors. 

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References

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Published

2019-05-05

Issue

Vol. 7 No. 3 (2019): International Journal of Innovative Research in Computer Science & Technology (May) 2019

Section

Articles

How to Cite

A System for Recommendation of Medication Using Gaussian Naïve Bayes Classifier . (2019). International Journal of Innovative Research in Computer Science & Technology, 7(3), 100–103. Retrieved from https://acspublisher.com/journals/index.php/ijircst/article/view/13387