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<p class="MsoNormal" style="font-family: Verdana, 'Microsoft Yahei', SimSun, sans-serif; color: rgb(49, 53, 59); line-height: 22.4px;"><span lang="EN-US">BIGDATA4HEALTH 2018: The Third International Workshop on<o:p></o:p></span></p><p class="MsoNormal" style="font-family: Verdana, 'Microsoft Yahei', SimSun, sans-serif; color: rgb(49, 53, 59); line-height: 22.4px;"><span lang="EN-US">Big Data Analytics for Smart and Connected Health<o:p></o:p></span></p><p class="MsoNormal" style="font-family: Verdana, 'Microsoft Yahei', SimSun, sans-serif; color: rgb(49, 53, 59); line-height: 22.4px;"><span lang="EN-US">Washington D.C., USA, September 26, 2018<o:p></o:p></span></p><p class="MsoNormal" style="font-family: Verdana, 'Microsoft Yahei', SimSun, sans-serif; color: rgb(49, 53, 59); line-height: 22.4px;"><span lang="EN-US">http://www.bigdata4health.org/<o:p></o:p></span></p><p class="MsoNormal" style="font-family: Verdana, 'Microsoft Yahei', SimSun, sans-serif; color: rgb(49, 53, 59); line-height: 22.4px;"><span lang="EN-US"> <o:p></o:p></span></p><p class="MsoNormal" style="font-family: Verdana, 'Microsoft Yahei', SimSun, sans-serif; color: rgb(49, 53, 59); line-height: 22.4px;"><span lang="EN-US">==========================================================================<o:p></o:p></span></p><p class="MsoNormal" style="font-family: Verdana, 'Microsoft Yahei', SimSun, sans-serif; color: rgb(49, 53, 59); line-height: 22.4px;"><span lang="EN-US">Important Dates<o:p></o:p></span></p><p class="MsoNormal" style="font-family: Verdana, 'Microsoft Yahei', SimSun, sans-serif; color: rgb(49, 53, 59); line-height: 22.4px;"><span lang="EN-US">Paper Submission: June 8, 2018<o:p></o:p></span></p><p class="MsoNormal" style="font-family: Verdana, 'Microsoft Yahei', SimSun, sans-serif; color: rgb(49, 53, 59); line-height: 22.4px;"><span lang="EN-US">Notification for Acceptance: July 13, 2018<o:p></o:p></span></p><p class="MsoNormal" style="font-family: Verdana, 'Microsoft Yahei', SimSun, sans-serif; color: rgb(49, 53, 59); line-height: 22.4px;"><span lang="EN-US">Submission of Camera Ready: July 23, 2018<o:p></o:p></span></p><p class="MsoNormal" style="font-family: Verdana, 'Microsoft Yahei', SimSun, sans-serif; color: rgb(49, 53, 59); line-height: 22.4px;"><span lang="EN-US">==========================================================================<o:p></o:p></span></p><p class="MsoNormal" style="font-family: Verdana, 'Microsoft Yahei', SimSun, sans-serif; color: rgb(49, 53, 59); line-height: 22.4px;"><span lang="EN-US"> The enormous use of internet in smart and connected healthcare continuously churn out very large amounts of structured and unstructured data due to which healthcare practitioners are increasingly facing difficulties in managing and capitalizing them to their advantage. Big data analytics is the process of examining these large data sets to uncover hidden patterns, unknown correlations, market trends, customer preferences and other useful business information. The analytical findings can lead to more effective marketing, new revenue opportunities, better customer service, improved operational efficiency, competitive advantages over rival organizations and other business benefits.<o:p></o:p></span></p><p class="MsoNormal" style="font-family: Verdana, 'Microsoft Yahei', SimSun, sans-serif; color: rgb(49, 53, 59); line-height: 22.4px;"><span lang="EN-US">This workshop sponsored by IEEE/ACM CHASE 2018, focuses on bringing together researchers and practitioners in mobile computing, biomedical and machine learning to showcase the progress, algorithms, and applications of analyzing and extracting knowledge from large-scale datasets for smart and connected healthcare. We invite researchers and practitioners to submit theoretical and experimental results on topics of interest included but not limited to:<o:p></o:p></span></p><p class="MsoNormal" style="font-family: Verdana, 'Microsoft Yahei', SimSun, sans-serif; color: rgb(49, 53, 59); line-height: 22.4px;"><span lang="EN-US">Store and retrieve ever growing dataset from smart and mobile devices</span></p><p class="MsoNormal" style="font-family: Verdana, 'Microsoft Yahei', SimSun, sans-serif; color: rgb(49, 53, 59); line-height: 22.4px;"><span style="line-height: 1.6;">Feature dimensionality reduction for high dimensional biomedical data</span></p><p class="MsoNormal" style="font-family: Verdana, 'Microsoft Yahei', SimSun, sans-serif; color: rgb(49, 53, 59); line-height: 22.4px;"><span lang="EN-US">New approach to tackle large-scale bioinformatics classification problems<o:p></o:p></span></p><p class="MsoNormal" style="font-family: Verdana, 'Microsoft Yahei', SimSun, sans-serif; color: rgb(49, 53, 59); line-height: 22.4px;"><span lang="EN-US">Energy efficient data analytics scheme for high dimensional data</span></p><p class="MsoNormal" style="font-family: Verdana, 'Microsoft Yahei', SimSun, sans-serif; color: rgb(49, 53, 59); line-height: 22.4px;"><span style="line-height: 1.6;">Cloud computing and mobile database management for wearable sensor based big data</span></p><p class="MsoNormal" style="font-family: Verdana, 'Microsoft Yahei', SimSun, sans-serif; color: rgb(49, 53, 59); line-height: 22.4px;"><span style="line-height: 1.6;">Machine learning frameworks designed for biomedical big data mining</span></p><p class="MsoNormal" style="font-family: Verdana, 'Microsoft Yahei', SimSun, sans-serif; color: rgb(49, 53, 59); line-height: 22.4px;"><span style="line-height: 1.6;">Predictive models gaining valuable knowledge from wearable sensor based big data</span></p><p class="MsoNormal" style="font-family: Verdana, 'Microsoft Yahei', SimSun, sans-serif; color: rgb(49, 53, 59); line-height: 22.4px;"><span lang="EN-US">Machine learning, with emphasis on deep learning, for health and biomedical applications</span></p><p class="MsoNormal" style="font-family: Verdana, 'Microsoft Yahei', SimSun, sans-serif; color: rgb(49, 53, 59); line-height: 22.4px;"><span style="line-height: 1.6;">Novel applications and case studies for healthcare based on smart and mobile devices</span></p><p class="MsoNormal" style="font-family: Verdana, 'Microsoft Yahei', SimSun, sans-serif; color: rgb(49, 53, 59); line-height: 22.4px;"><span lang="EN-US">Biomedical big data privacy preservation in IoT environment<o:p></o:p></span></p><p class="MsoNormal" style="font-family: Verdana, 'Microsoft Yahei', SimSun, sans-serif; color: rgb(49, 53, 59); line-height: 22.4px;"><span lang="EN-US"> <o:p></o:p></span></p><p class="MsoNormal" style="font-family: Verdana, 'Microsoft Yahei', SimSun, sans-serif; color: rgb(49, 53, 59); line-height: 22.4px;"><span lang="EN-US">BIGDATA4HEALTH 2018 will establish a best paper award this year. All papers presented at the Workshop will be published in Smart Health Journal (Elsevier) as a special issue.<o:p></o:p></span></p><p class="MsoNormal" style="font-family: Verdana, 'Microsoft Yahei', SimSun, sans-serif; color: rgb(49, 53, 59); line-height: 22.4px;"><span lang="EN-US">More details regarding Paper Submission, Committees, ect., can be found via http://www.bigdata4health.org/.<o:p></o:p></span></p><p class="MsoNormal" style="font-family: Verdana, 'Microsoft Yahei', SimSun, sans-serif; color: rgb(49, 53, 59); line-height: 22.4px;"><span lang="EN-US">Online submission link of BIGDATA4HEALTH is available at https://edas.info/newPaper.php?c=24760.</span></p><!--😀-->
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