Opinion Analysis and Statistics about the Success Rates of Treatments Extracted From Online Healthcare Forums for the Disease Psoriasis using a Pipeline of LDA, NLP and Artificial Neural Network
Mamatha Balipa1, Balasubramani R2 

1Mamatha Balipa, Department of MCA, NMAM Institute of Technology, Nitte, Karnataka, India.
2Dr. Balasubramani R, Department of Information Science and Engineering, NMAM Institute of Technology, Nitte, India.

Manuscript received on 11 March 2019 | Revised Manuscript received on 16 March 2019 | Manuscript published on 30 July 2019 | PP: 845-851 | Volume-8 Issue-2, July 2019 | Retrieval Number: A2957058119/19©BEIESP | DOI: 10.35940/ijrte.A2957.078219
Open Access | Ethics and Policies | Cite | Mendeley | Indexing and Abstracting
© 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: This paper describes how the authors have applied NLP and text processing techniques to mine the messages related to the disease Psoriasis available online and posted by users who have undergone various types of treatments for the disease. The authors discuss the various classification techniques applied to classify the extracted messages as solution for the disease or non-solution. The authors also provide statistics regarding the success rates of the various types of treatments and medications in a consolidated form. A comparison study of the different types of treatments and their success rates is performed and statistics provided to the end users.
Index Terms: Artificial Neural Network, NLP, Psoriasis, LDA.

Scope of the Article: Healthcare Informatics