Symptoms to Disease Mapping and Doctor Recommendation System 
Tapodhir Acharjee1, Saurav Chanda2, Suman Nunia3, Abdul Mazid Choudhury4, Sanjeev kumar5
1Tapodhir Acharjee*, Department of Computer Science & Engineering, Assam University, Silchar, Assam, India.
2Saurav Chanda, Department of Computer Science & Engineering, Assam University, Silchar, Assam, India.
3Suman Nunia, Department of Computer Science & Engineering, Assam University, Silchar, Assam, India.
4Abdul Mazid Choudhury, Department of Computer Science & Engineering, Assam University, Silchar, Assam, India.
5Sanjeev kumar, Department of Computer Science & Engineering, Assam University, Silchar, Assam, India.
Manuscript received on September 24, 2019. | Revised Manuscript received on October 15, 2019. | Manuscript published on October 30, 2019. | PP: 1111-1119 | Volume-9 Issue-1, October 2019 | Retrieval Number: A9495109119/2019©BEIESP | DOI: 10.35940/ijeat.A9495.109119
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© The Authors. Blue Eyes Intelligence Engineering and Sciences Publication (BEIESP). This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/)
Abstract: To find an appropriate doctor who is specialized to treat a certain disease while only symptoms are known is not easy job for the patients. In this paper, we describe a recommended framework to find the best doctors in accordance with patients’ requirements. In the proposed system, first it considers only those doctors whose profile match with patients’ requirements. Second, the best doctors will be recommended out of previously obtained doctors based on the parameter patients’ feedback i.e., patients’ review. Our proposal will suggest a doctor recommendation system that uses review mining technique, which can be used in those countries that have huge uneven distribution of medical resources. In our model we have used the decision tree for symptoms to disease mapping and Naive Bayes classifier for sentiment analysis which are connected to each other using a bridge of python logic and the required output is top doctors based on the users input
Keywords: Recommendation system, Review mining, Machine learnin, Decision tree, Naïve Bayes Classifier.