A copy of this work was available on the public web and has been preserved in the Wayback Machine. The capture dates from 2020; you can also visit <a rel="external noopener" href="https://www.peertechz.com/articles/ACMPH-5-151.pdf">the original URL</a>. The file type is <code>application/pdf</code>.
<i title="Peertechz Publications Private Limited">
<a target="_blank" rel="noopener" href="https://fatcat.wiki/container/wp67mwcx4vf63m6ltmsfteep5m" style="color: black;">Archives of Community Medicine and Public Health</a>
Type 2 diabetes is a chronic condition associated with long term complications and premature death. It is a leading cause of non-traumatic amputations, renal failure and blindness. With advances in information technology, diabetes patient data are increasingly collated digitally, however, there is no unifi ed minimal dataset agreed nationally or internationally for data collection. A huge amount of data including patient data, pathology reports, and prescription information is generated by<span class="external-identifiers"> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.17352/2455-5479.000051">doi:10.17352/2455-5479.000051</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/eg276qhqvjajhg4hhwgrxd2gsu">fatcat:eg276qhqvjajhg4hhwgrxd2gsu</a> </span>
more »... h providers and this information collectively is known as "Big Data." The Aegle project, A European Union Horizon 2020 funded study, looks at the issue of gathering Big Data, with the aim of harnessing it to help develop personalised therapy to patients with the aim of improving health and optimise outcomes. In this paper, we highlight the potential of the Aegle Project to harness Big Data with real data examples. At the clinical decision support user interface, we show examples where predictive analysis helps stratify patients into risk categories for complications and for therapeutic responses. At the research-oriented user interface, we show how the implementation of this integrated data system has already revealed novel associations that could form the basis for future clinical studies.
<a target="_blank" rel="noopener" href="https://web.archive.org/web/20200208031524/https://www.peertechz.com/articles/ACMPH-5-151.pdf" title="fulltext PDF download" data-goatcounter-click="serp-fulltext" data-goatcounter-title="serp-fulltext"> <button class="ui simple right pointing dropdown compact black labeled icon button serp-button"> <i class="icon ia-icon"></i> Web Archive [PDF] <div class="menu fulltext-thumbnail"> <img src="https://blobs.fatcat.wiki/thumbnail/pdf/a3/14/a3147b274988fba658fe8479926d1463ec19a224.180px.jpg" alt="fulltext thumbnail" loading="lazy"> </div> </button> </a> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.17352/2455-5479.000051"> <button class="ui left aligned compact blue labeled icon button serp-button"> <i class="unlock alternate icon" style="background-color: #fb971f;"></i> Publisher / doi.org </button> </a>