28 research outputs found
Content Based Image Retrieval (CBIR) in Remote Clinical Diagnosis and Healthcare
Content-Based Image Retrieval (CBIR) locates, retrieves and displays images
alike to one given as a query, using a set of features. It demands accessible
data in medical archives and from medical equipment, to infer meaning after
some processing. A problem similar in some sense to the target image can aid
clinicians. CBIR complements text-based retrieval and improves evidence-based
diagnosis, administration, teaching, and research in healthcare. It facilitates
visual/automatic diagnosis and decision-making in real-time remote
consultation/screening, store-and-forward tests, home care assistance and
overall patient surveillance. Metrics help comparing visual data and improve
diagnostic. Specially designed architectures can benefit from the application
scenario. CBIR use calls for file storage standardization, querying procedures,
efficient image transmission, realistic databases, global availability, access
simplicity, and Internet-based structures. This chapter recommends important
and complex aspects required to handle visual content in healthcare.Comment: 28 pages, 6 figures, Book Chapter from "Encyclopedia of E-Health and
Telemedicine
Causal modelling and analysis evaluation of online reputation management using Fuzzy Delphi and DEMATEL
Online reputation management (ORM) is a significant and proactive tool that can reinforce the credibility of the service provider. Literature existing today on this topic has rarely reported on the causal modeling analysis from an ORM perspective. Therefore, the objective of this paper is to build a factor structure of ORM and to build the inter-relationship map amongst the criteria of each factor. To allow for vague human judgment, a fuzzy concept is employed in a form of Fuzzy Delphi. The DEMATEL technique has been used to develop a Network Relationship Map (NRM) among the criteria of each factor. Data has been gathered through a structured questionnaire conducted with a survey of experts. The study divided the criteria of each factor into cause-effect criteria. Findings of the study show that criteria such as distributed reputation system, trust, online competitive branding, website management, customer relationship, search engine optimization, corporate social responsibility, users' reach, competition/page views, purchase discounted products and cash back or money back fall under the cause group of ORM's factors. The results of this study can not only help service providers to enhance their reputation but can also guide them towards targeting their customers in an online platform.N/