Prediction Analysis of the Primary Health Conditions of the Lower Strata Community using Machine Learning
Pooja Singh1, Seema Shokeen2, Kriti3, Kajol Gupta4
1Pooja Singh, Department of Computer Science, Maharaja Surajmal Institute, Affiliated to GGSIPU, New Delhi, India
2Seema Shokeen, Department of Business Administration, Maharaja Surajmal Institute, Affiliated to GGSIPU, New Delhi, India
3Kriti, Department of Computer Science, Maharaja Surajmal Institute, Affiliated to GGSIPU, New Delhi, India
4Kajol Gupta, Department of Computer Science, Maharaja Surajmal Institute, Affiliated to GGSIPU, New Delhi, India
Manuscript received on 05 April 2019 | Revised Manuscript received on 10 May 2019 | Manuscript published on 30 May 2019 | PP: 1970-1975 | Volume-8 Issue-1, May 2019 | Retrieval Number: A3359058119/19©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: Good health acts as a catalyst in realizing the individual’s capabilities and thus contributes to the well- being of the society. It has been observed as a psychology that healthy people are proved to be more productive and contributes more towards the economic development for any nation. On the contrary the ill-health people may not stand up to the mark of the complete realization of their psychological, social and economic capabilities, and hence have to bear the financial implications in terms of loss of income. Productivity and attainment of a good medical care. There are many factors that provide these poor health conditions. This paper consist of all these primary factors and total evaluation of their health by which we can predict their overall health. As the health is directly proportional to the productivity. So as, people can also concentrate on their health. The main aim of this paper is to provide a analysis on the research field of healthcare data. In this paper, we focus on the database which was collected in form of questionnaire. These data are then analysed using a machine learning classifier with and without feature subset selection( monthly expenditure, family income, food consumed, Age of the person, source of drinking water, frequently faced illnesses, condition of living, etc) separately for prediction of a person’s overall health.
Keywords: Data Mining, Healthcare, Prediction Analysis, Features Selection, Classification.
Scope of the Article: Classification