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The index lift in data mining has a close relationship with the association measure relative risk in epidemiological studies.

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Title: The index lift in data mining has a close relationship with the association measure relative risk in epidemiological studies.
Authors: Vu K; University of Alberta School of Public Health, Edmonton, AB, Canada., Clark RA; University of Alberta School of Public Health, Edmonton, AB, Canada., Bellinger C; Department of Computing Science, University of Alberta, Edmonton, AB, Canada., Erickson G; University of Alberta Women and Children's Health Research Institute, Edmonton, AB, Canada., Osornio-Vargas A; Department of Pediatrics, University of Alberta, Edmonton, AB, Canada., Zaïane OR; Department of Computing Science, University of Alberta, Edmonton, AB, Canada., Yuan Y; University of Alberta School of Public Health, Edmonton, AB, Canada. yyuan@ualberta.ca.
Source: BMC medical informatics and decision making [BMC Med Inform Decis Mak] 2019 Jun 17; Vol. 19 (1), pp. 112. Date of Electronic Publication: 2019 Jun 17.
Publication Type: Journal Article; Research Support, Non-U.S. Gov't
Journal Info: Publisher: BioMed Central Country of Publication: England NLM ID: 101088682 Publication Model: Electronic Cited Medium: Internet ISSN: 1472-6947 (Electronic) Linking ISSN: 14726947 NLM ISO Abbreviation: BMC Med Inform Decis Mak Subsets: MEDLINE
Database: MEDLINE Ultimate
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  Data: The index lift in data mining has a close relationship with the association measure relative risk in epidemiological studies.
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  Data: <searchLink fieldCode="AU" term="%22Vu+K%22">Vu K</searchLink>; University of Alberta School of Public Health, Edmonton, AB, Canada.<br /><searchLink fieldCode="AU" term="%22Clark+RA%22">Clark RA</searchLink>; University of Alberta School of Public Health, Edmonton, AB, Canada.<br /><searchLink fieldCode="AU" term="%22Bellinger+C%22">Bellinger C</searchLink>; Department of Computing Science, University of Alberta, Edmonton, AB, Canada.<br /><searchLink fieldCode="AU" term="%22Erickson+G%22">Erickson G</searchLink>; University of Alberta Women and Children's Health Research Institute, Edmonton, AB, Canada.<br /><searchLink fieldCode="AU" term="%22Osornio-Vargas+A%22">Osornio-Vargas A</searchLink>; Department of Pediatrics, University of Alberta, Edmonton, AB, Canada.<br /><searchLink fieldCode="AU" term="%22Zaïane+OR%22">Zaïane OR</searchLink>; Department of Computing Science, University of Alberta, Edmonton, AB, Canada.<br /><searchLink fieldCode="AU" term="%22Yuan+Y%22">Yuan Y</searchLink>; University of Alberta School of Public Health, Edmonton, AB, Canada. yyuan@ualberta.ca.
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  Data: <searchLink fieldCode="JN" term="%22101088682%22">BMC medical informatics and decision making</searchLink> [BMC Med Inform Decis Mak] 2019 Jun 17; Vol. 19 (1), pp. 112. <i>Date of Electronic Publication: </i>2019 Jun 17.
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  Data: <i>Publisher: </i><searchLink fieldCode="PB" term="%22BioMed+Central%22">BioMed Central </searchLink><i>Country of Publication: </i>England <i>NLM ID: </i>101088682 <i>Publication Model: </i>Electronic <i>Cited Medium: </i>Internet <i>ISSN: </i>1472-6947 (Electronic) <i>Linking ISSN: </i><searchLink fieldCode="IS" term="%2214726947%22">14726947 </searchLink><i>NLM ISO Abbreviation: </i>BMC Med Inform Decis Mak <i>Subsets: </i>MEDLINE
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        Value: 10.1186/s12911-019-0838-4
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        Text: English
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              Text: 2019 Jun 17
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              Y: 2019
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