Search results for "recommendation"
showing 10 items of 136 documents
Preoperative Anemia and Iron Deficiency Screening, Evaluation and Management: Barrier Identification and Implementation Strategy Mapping
2020
Alana Delaforce,1,2 Jed Duff,1,3 Judy Munday,3,4 Janet Hardy2 1School of Nursing and Midwifery, The University of Newcastle, Callaghan, NSW, Australia; 2Mater Health Services, South Brisbane, QLD 4101, Australia; 3School of Nursing/Centre for Healthcare Transformation, Queensland University of Technology, Kelvin Grove, QLD, Australia; 4School of Nursing, The University of Agder, Kristiansand, NorwayCorrespondence: Alana Delaforce Email alana.delaforce@mater.org.auIntroduction and aims: Patients undergoing major surgery risk significant blood loss and transfusion, which increases substantially if they have pre-existing anemia. Preoperative Anemia and Iron Deficiency Screening, Evaluation and…
An Automatic Ontology-Based Approach to Support Logical Representation of Observable and Measurable Data for Healthy Lifestyle Management: Proof-of-C…
2020
Background Lifestyle diseases, because of adverse health behavior, are the foremost cause of death worldwide. An eCoach system may encourage individuals to lead a healthy lifestyle with early health risk prediction, personalized recommendation generation, and goal evaluation. Such an eCoach system needs to collect and transform distributed heterogenous health and wellness data into meaningful information to train an artificially intelligent health risk prediction model. However, it may produce a data compatibility dilemma. Our proposed eHealth ontology can increase interoperability between different heterogeneous networks, provide situation awareness, help in data integration, and discover…
Influence of brand image of a sports event on the recommendation of its participants
2020
The aim of this research is to test the psychometric properties and relationships of a model where, from brand congruence of a sport event, trust and commitment to it can be generated, influencing future behavior of participants and resulting in a higher recommendation also called Word of Mouth (hereinafter WOM). A quantitative approach has been carried out by means of a validated questionnaire with Likert-type responses, and data were analyzed with the EQS 6.4 software. The findings indicated that the model is adequate, and also confirm that from congruence, we can explain, at a theoretical level, 45% of trust, and in the same way, from the congruence and trust, we can explain 67% of the c…
Baveno VII – Renewing consensus in portal hypertension
2022
To expand on the work of previous meetings, a virtual Baveno VII workshop was organised for October 2021. Among patients with compensated cirrhosis or compensated advanced chronic liver disease (cACLD – defined at the Baveno VI conference), the presence or absence of clinically significant portal hypertension (CSPH) is associated with differing outcomes, including risk of death, and different diagnostic and therapeutic needs. Accordingly, the Baveno VII workshop was entitled “Personalized Care for Portal Hypertension”. The main fields of discussion were the relevance and indications for measuring the hepatic venous pressure gradient as a gold standard, the use of non-invasive tools for the …
Context-Aware Adaptive System For M- Learning Personalization
2014
International audience; Context-aware mobile learning is becoming important because of the dynamic and continually changing learning settings in learner's mobile environment, giving rise to many different learning contexts that are difficult to apprehend. To provide personalization of learning content, we aim to develop a recommender system based on semantic modeling of learning contents and learning context. This modeling is complemented by a behavioral part made up of rules and metaheuristics used to optimize the combination of pieces of learning contents according to learner's context. All these elements form a new approach to mobile learning.
Tiešsaistes sociālais tīkls
2019
Tīmekļvietne “I recommend” ir sistēma, kura ir izstrādāta priekš studentu korporācijām, Šajā sistēmā tās lietotāji var izveidot ieteikumus priekš saviem sekotājiem. Šī darba mērķis ir izveidot sistēmu, kurā šīs sistēmas lietotājs, var iegūt ieteikumus sadalītus pa kategorijām, kā produktīvi pavadīt savu brīvo laiku. Ieteikumu kategorijās ietilpst vietas, filmas, izklaide, ētika, ēdiens, sports, zinātne, mūzika, literatūra un cits. Tīmekļvietne ir veidota Ruby programmēšans valodā ar Ruby on Rails ietvaru, sistēmas dati ir uzglabāti PostgreSQL datu pārvaldības sistēmā.
Problems of Transferring Knowledge on the Example of Recommendations from Evaluation of European Funds in Poland
2019
This article presents the conditions of creating a system for implementing recommendations from evaluation studies which were conducted within the cohesion policy in Poland. The purpose of this analysis was to identify main problems and barriers related to the transformation of evaluation studies into practical recommendations, and to identify factors affecting the adoption and implementation of recommendations by recipients and stakeholders of evaluation. Conclusions were based on the desk research of such documents as: guidelines and procedures for the implementation of evaluation, evaluation and meta-evaluation reports, recommendation and implementation tables. The main barriers and fact…
Cross-Domain Recommendations with Overlapping Items
2016
In recent years, there has been an increasing interest in cross-domain recommender systems. However, most existing works focus on the situation when only users or users and items overlap in different domains. In this paper, we investigate whether the source domain can boost the recommendation performance in the target domain when only items overlap. Due to the lack of publicly available datasets, we collect a dataset from two domains related to music, involving both the users’ rating scores and the description of the items. We then conduct experiments using collaborative filtering and content-based filtering approaches for validation purpose. According to our experimental results, the sourc…
Analyse du caractère dynamique des recommandations dans l'industrie cinématographique : le cas des franchises de films
2016
The release of motion picture sequels by studios led to the emergence of interaction effects between sequels over the time and in consequence altering models predicting the box office. If some scholars have examined these interaction effects, they were limited to the box office revenues. The paper proposes an extension of the interaction effects to third-party recommendations. The results – covering 123 sequels – demonstrate the dynamic and persistent nature of the recommendations.
On research work in information systems: Guidelines, recommendations and examples
2021
The most positive aspect of science is that the participants (researchers, reviewers and editors) control and evaluate their work themselves. Therefore they must be supported in one way or another. Fortunately, guidelines have been developed for different methodologies. However, today the guidelines are not very applicable. The first two sets of guidelines published (both positivist studies) had unusual problems. In this work, we analyze and improve the guidelines generally. Previously, selecting a methodology was the task of every researcher. It now seems that every researcher must also conduct a literature review and write a report. We consider methodology, literature review and writing "…