Location Based Services Analysis Through Analytical Hierarchical Processes: An e-Health-Based Case Study

Abstract

Wireless localisation has become a valuable information for a large number of location based or location-aware services [2]. Significant economic value can be generated with an increased granularity of the location information (i.e., knowing the location at block or room level instead of street or district level) as shown, for example, in [2]. LBS are generally offered to the users by an LBS provider, using one or more localisation technologies, which can belong or not to the LBS provider. For example, an LBS provider can use the information coming from the WiFi network owned by a Mall owner and provide position location information to the user. In this example, the LBS provider and the technology provider (i.e., the owner(s) of the WiFi network) are two distinct units. In another example, a cellular operator can use the information provided by its own cells or base stations to provide the user location. In this example, the LBS provider and the technology provider are the same unit, namely the cellular operator.

Evaluating the Usability of mHealth Applications on Type 2 Diabetes Mellitus Using Various MCDM Methods

“…They also used 17 sub-criteria to choose the ideal web service based on the team’s performance. For evaluating and analyzing the overall performance of eHealth systems, Lohan et al [ 10 ] developed a MCDM model. The eHealth efficiency was evaluated by authors using five criteria that include ease of use, cost, acceptability, false alarm, and accuracy.…”