1,721,312 research outputs found
Going Beyond Counting First Authors in Author Co-citation Analysis
Full text linkThe present study examines one of the fundamental aspects of author co-citation analysis (ACA) - the way co-citation
counts are defined. Co-citation counting provides the data on which all subsequent statistical analyses and mappings
are based, and we compare ACA results based on two different types of co-citation counting - the traditional type that
only counts the first one among a cited work's authors on the one hand and a non-traditional type that takes into
account the first 5 authors of a cited work on the other hand. Results indicate that the picture produced through this non-traditional author co-citation counting contains more coherent author groups and is therefore considerably clearer. However, this picture represents fewer specialties in the research field being studied than that produced through the traditional first-author co-citation counting when the same number of top-ranked authors is selected and analyzed. Reasons for these effects are discussed
Study of hospitalization for retinal surgery using classification algorithms
No full textThe objective of this work is to analyze LOS for patients admitted to the ophthalmology department. The procedures that are performed in this department are many, but our job is to focus attention on retinal diseases. Postoperative time and timely diagnosis are essential for proper patient care. A prolonged length of stay (LOS) average hospital can not only have negative effects on the patient's quality of life but has The LOS is one the main factors affecting on the effectiveness of national health system, which is influence by different contextual information (i.e., inadequate resource management, bed availability and surgical interventions). It is interesting and important to analyze the Length of Stay (LOS) and to implement models that allow to predict such indicator. LOS is related to several variables that describe the patient's condition that affect the management of resources, beds, and the entire department. In this work, we design different Machine Learning models with the aim to predict the LOS. In particular, we evaluate the effectiveness of our approach by analyzing information about 450 patients frmo the University Hospital "Federico II"in Naples (Italy)
Use of adjuvanted trivalent influenza vaccine in older-age adults: a systematic review of economic evidence
No full textSeasonal influenza is a very common disease. Yearly vaccination of at-risk population groups is a well-recognized cost-effective/cost-saving preventive measure. It is, however, unclear which available alternative has the most favorable economic profile. Some available options are: trivalent (TIV) and quadrivalent (QIV) inactivated vaccines, adjuvanted TIV (aTIV). Because of immunosenescence, aTIV has been specifically developed for elderly. The present study aimed at assessing the available evidence of aTIV use in elderly from the economic perspective. A systematic literature review targeting aTIV economic evaluations in adults aged ≥65 years was performed using Medline via Ovid, Embase, DARE and NHS/EED. Of a total of 3,654 papers screened, 18 studies (13 full papers, 5 conference abstracts) were included. It emerged that compared with both non-vaccination or non-adjuvanted vaccines, aTIV was cost-effective or cost-saving. The vaccinations strategies incorporating aTIV based on age and/or risk profile are associated with the most favorable economic outcomes
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