Drug Dote and Healthcare Analysis Using Topic Modeling
Sunil Bhutada

Dr. Sunil Bhutada, Professor, Department of IT, Sreenidhi Institute of Science and Technology, Hyderabad, India.
Manuscript received on 02 June 2019 | Revised Manuscript received on 10 June 2019 | Manuscript published on 30 June 2019 | PP: 1250-1255 | Volume-8 Issue-8, June 2019 | Retrieval Number: H6998068819/19©BEIESP
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: The health of an individual is quite a substantial factor in the growing world. We can witness numerous cases where people are found to take drugs devouring their lives. As opposed to obtaining information from regular methods like probabilistic analysis, latent semantic, LDA etc, this paper aims at introducing a new method of procuring the information of an individual’s health data where akin symptoms are put together to predict how much extent an individual is suffering from the drug which helps in taking preventive measures. The system which is being proposed by us works really fine without any third-party intervention.
Keyword: LDA, Gibbs sampling, Topic modeling, generalized clusters, etc…
Scope of the Article: Measurement & Performance Analysis.