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RE: Aggregating Epidemiological Study Findings

From: Bulusu, Vijay <Vijay.Bulusu@pfizer.com>
Date: Wed, 30 Nov 2011 10:45:13 -0500
Message-ID: <4B6BFC4530B49B41998B52330F9ACAB504C85ACA@ndhamrexm57.amer.pfizer.com>
To: <public-semweb-lifesci@w3.org>
I was just informed that the link below requires a logon. Here is
additional information about this article.


Journal: The Journal of International Medical Research


Title: Prevalence of painful diabetic peripheral neuropathy among
patients with diabetes mellitus in the middle east region


Authors: S Jambart (Saint-Joseph University and Hotel-Dieu de France
Hospital, Beirut, Lebanon), Z Ammache (Clemenceau Medical Center,
Beirut, Lebanon), F Haddad (King Hussein Medical Center, Jordan), A
Younes (Private Practice, Amman, Jordan), A Hassoun (Dubai Diabetes
Center, Dubai, UAE), K Abdalla (Alexandria University, Egypt), C Abou
Selwan (Pfizer Inc, Dubai, UAE), N Sunna (Pfizer Inc, Dubai, UAE), D
Wajsbrot (Pfizer Inc, Dubai, UAE), E Youseif (Pfizer Inc, Dubai, UAE)


Website: http://www.jimronline.net/


URL: http://www.jimronline.net/content/fullpdf.asp?ArticleID=1601



From: Bulusu, Vijay 
Sent: Wednesday, November 30, 2011 10:16 AM
To: 'public-semweb-lifesci@w3.org'
Subject: Aggregating Epidemiological Study Findings


Team HCLS,

I was recently asked if there is a way to aggregate epidemiological
study findings (such as the one mentioned in the publication listed
below) in a computationally accessible way (Linked Data, Semantic Web

Any ideas/thoughts?




Could this potentially be a use case?





Vijay K. Bulusu

Senior Manager

Business Technology

Pfizer Inc.

MS 8118A-4004

Eastern Point Road,

Groton, CT, 06340.


Work: 860.686.1027


There are no limits except the ones you set yourself...



Received on Wednesday, 30 November 2011 15:45:48 UTC

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