Muhammad Aamir Saleem

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OBJECTIVE Data interoperability among health information exchange (HIE) systems is a major concern for healthcare practitioners to enable provisioning of telemedicine-related services. Heterogeneity exists in these systems not only at the data level but also among different heterogeneous healthcare standards with which these are compliant. The relationship(More)
Chronic disease may lead to life threatening health complications like heart disease, stroke, and diabetes that diminish the quality of life. CDSS (Clinical Decision Support System) helps physician in effective utilization of patient’s clinical information at the time of diagnosis and medication. This paper points out the importance of social media and(More)
Using GPS-enabled smart phones, social network services are enriched with location information which allows users to share geo-tagged contents with their friends. This so called location-based social network (LBSN) data has a dual spatial and graph nature. The growing scale and importance of LBSN data necessitate a platform which (i) has both spatial and(More)
Recently, the low cost and high availability of location acquisition technologies has significantly increased the demands for online anomalous trajectory detection. It is being used in social as well as commercial areas to provide human life care applications like healthcare, theft protection and taxi fraud detection. However, anomalous trajectory detection(More)
Location-based social networks (LBSN) are social networks complemented with location data such as geo-tagged activity data of its users. In this paper, we study how users of a LBSN are navigating between locations and based on this information we select the most influential locations. In contrast to existing works on influence maximization, we are not per(More)
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