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  <Article>
    <Journal>
      <PublisherName>aimsjournal</PublisherName>
      <JournalTitle>Allana Management Journal of Research, Pune</JournalTitle>
      <PISSN>? ?2581-3137 (</PISSN>
      <EISSN>) 2231 - 0290 (Print)</EISSN>
      <Volume-Issue>Volume 9, Issue 1</Volume-Issue>
      <PartNumber/>
      <IssueTopic>Multidisciplinary</IssueTopic>
      <IssueLanguage>English</IssueLanguage>
      <Season>January 2019 - June 2019</Season>
      <SpecialIssue>N</SpecialIssue>
      <SupplementaryIssue>N</SupplementaryIssue>
      <IssueOA>Y</IssueOA>
      <PubDate>
        <Year>-0001</Year>
        <Month>11</Month>
        <Day>30</Day>
      </PubDate>
      <ArticleType>Information Technology Management</ArticleType>
      <ArticleTitle>Health Insurance Status: An Electronic Survey and Analysis</ArticleTitle>
      <SubTitle/>
      <ArticleLanguage>English</ArticleLanguage>
      <ArticleOA>Y</ArticleOA>
      <FirstPage>1</FirstPage>
      <LastPage>4</LastPage>
      <AuthorList>
        <Author>
          <FirstName>Allarakha  Pathan Imran Sadekh Shaikh Shahrukhkhan Pathan Zameer</FirstName>
          <LastName>Khan</LastName>
          <AuthorLanguage>English</AuthorLanguage>
          <Affiliation/>
          <CorrespondingAuthor>N</CorrespondingAuthor>
          <ORCID/>
        </Author>
      </AuthorList>
      <DOI/>
      <Abstract>Abstract - According to Insurance Regulatory and Development Authority (IRDA) act 1999.Health insurance plays an important role in access to medical care and is the focus of extensive policy efforts.In this research paper we have attempted data analysis of Health Insurance of All community, We have designed Questionnaire, and conducted an electronic survey. The percentage of India__ampersandsign#39;s national budget allocated to the health sector remains one of the lowest in the world, and healthcare expenditures are largely out-of-pocket (OOP). Currently, efforts are being made to expand health insurance coverage as one means of addressing health disparity and reducing catastrophic health costs. Analysis of reasons for doing or not doing health insurance, presented here can help in identifying marketing needs , and some of the findings can be helpful in deciding policies in the social context. Our survey indicates that more than 69% percent of people in general and about the same percentage of students don__ampersandsign#39;t have health coverage. It is surprising that prominent reasons why people don__ampersandsign#39;t go for insurance are a combination of __doublequotosingCANT AFFORD__doublequotosing, __doublequotosingDON__ampersandsign#39;T NEED__doublequotosing, __doublequotosingDON__ampersandsign#39;T BELIEVE IN__doublequotosing , and few instances of __doublequotosingBAD EXPERIENCE__doublequotosing with vendors. What is most surprising is that the educational institutions , who are the prime caretakers of the student community don__ampersandsign#39;t seem to be taking this aspect of student-health seriously at all. In addition to the objective of highlighting current scenario in health care insurance in the student community , an associative objective of demonstrating use of visual analytics (Simmi Aggarwal and Pooja Mankar , 2015) is achieved in this article. We have used Power BI - trial version in addition to using Google Forms in out methodology</Abstract>
      <AbstractLanguage>English</AbstractLanguage>
      <Keywords>Bayesian networks Diagram, Google form, Online Survey, Power BI trial version.</Keywords>
      <URLs>
        <Abstract>https://aimsjournal.org/ubijournal-v1copy/journals/abstract.php?article_id=6304&title=Health Insurance Status: An Electronic Survey and Analysis</Abstract>
      </URLs>
      <References>
        <ReferencesarticleTitle>References</ReferencesarticleTitle>
        <ReferencesfirstPage>16</ReferencesfirstPage>
        <ReferenceslastPage>19</ReferenceslastPage>
        <References>Simmi Aggarwal and Pooja Mankar (2016), Review : Visual Analytics in Healthcare , Proceeding of the 3rd National conference on Data Mining and; ICT (NCDM, 15-16), ISBN 978-93-85777-37-0, p 54-60.

Jiawei Han,Micheline Kamber,Jian Pei (2011) Data Mining Concepts and techniques,by Elsevier Publication (p-396)

https://docs.google.com/forms/d/1sGIBgEk_S74I3EKBkuE5oJFxZnvdNR2cmQ2t6j7JhIc/edit

https://powerbi.microsoft.com/en-us/get-started/</References>
      </References>
    </Journal>
  </Article>
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