infonet-economy

Medical emergency situations happening outside a hospital require a large range of competencies from safe transportation of a patient to his/her medical stabilization before the transport. Paramedics are trained to face such situations and can handle most of them very well. Some situations need precise skills and knowledge that are very common in a hospital setting but less in…

Large scale infrastructure expansions in hotels are exposed to uncertainty. Since the costs involved in these expansion projects are high and often irreversible, hotels would benefit from analyses that incorporate uncertainty along with traditional valuation techniques like the discounted cash flow (DCF) method. Decision tree analysis (DTA) and real options analysis (ROA) have been…

Abstract. Information analysis or retrieval for images in the biomedical literature needs to deal with a large amount of compound figures (figures containing several subfigures), as they constitute probably more than half of all images in repositories such as PubMed Central, which was the data set used for the task. The ImageCLEFmed benchmark proposed among other tasks in 2015 and 2016…

In this article, we discuss how hospitality students can leverage new technology and new HRM metrics from a combination of a traditional format case study and innovative data spreadsheets. We offer a teaching case study that combines the strategic dimensions of HRM with practice-driven data analysis anchored in HR analytics and HR big data mining. We argue that this combination helps…

This chapter gives a brief overview of the VISCERAL Registration System that is used for all the VISCERAL Benchmarks and is released as open source on GitHub. The system can be accessed by both participants and administrators, reducing the direct participant–organizer interaction and handling the documentation available for each of the benchmarks organized by VISCERAL. Also, the…

Text- and content-based retrieval are the most widely used approaches for medical image retrieval. They capture the similarity between the images from different perspectives: text-based methods rely on manual textual annotations or captions associated with images; content-based approaches are based on the visual content of the images themselves such as colours and textures. Text-…

As part of their daily workload, clinicians examine patient cases in the process of formulating a diagnosis. These large multimodal patient datasets stored in hospitals could help in retrieving relevant information for a differential diagnosis, but these are currently not fully exploited. The VISCERAL Retrieval Benchmark organized a medical case-based retrieval algorithm evaluation…

Abstract This paper will examine the productivity of the public sectors in the US across the states. Because there is heterogeneity across states in terms of public services provided that could impact its productivity. In fact, there could be a convergence among the states. The services provided by the public sectors have come under increased scrutiny with the ongoing process of…

Identifying similar patients might greatly facilitate the treatment of a given patient, enabling to observe the response and outcome to a particular treatment. Case-based retrieval services dealing with natural language processing are of major importance to deal with the significant amount of unstructured clinical data. In this paper, we present the development and evaluation of a…