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Later discriminant analysis was conducted to predict patients who make online health information search and the ones who do not. The result show that Income, Having E-mail id, access to internet, geographical location, Education and gender are significant factors that determine the propensity of people for online healthcare search. Age and family-type, however, were found to have no impact on such a behavior. Using discriminant analysis 94.5 percent patients who make online health information search could be correctly predicted.<\/jats:p>","DOI":"10.4018\/ijabim.2017040102","type":"journal-article","created":{"date-parts":[[2017,3,20]],"date-time":"2017-03-20T15:01:44Z","timestamp":1490022104000},"page":"15-34","source":"Crossref","is-referenced-by-count":9,"title":["An Empirical Note on Health Information Digital Divide"],"prefix":"10.4018","volume":"8","author":[{"given":"Ajeya","family":"Jha","sequence":"first","affiliation":[{"name":"Department of Management Studies, Sikkim Manipal Institute of Technology, Rangpo, India"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Jaya Rani","family":"Pandey","sequence":"additional","affiliation":[{"name":"Sikkim Manipal Institute of Technology, Rangpo, India"}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"2432","reference":[{"key":"IJABIM.2017040102-0","doi-asserted-by":"publisher","DOI":"10.1023\/A:1021061229743"},{"issue":"11","key":"IJABIM.2017040102-1","first-page":"80","article-title":"The digital divide network.","volume":"30","author":"R.Anthony","year":"2000","journal-title":"Black Enterprise"},{"issue":"4","key":"IJABIM.2017040102-2","first-page":"673","volume":"6","author":"A.Antonio","year":"2014","journal-title":"The Gender Digital Divide in Developing Countries. 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