Graph‐based tag recommendations using clusters of patients in clinical decision support system

Hafidi, Meriem; Abdelwahed, El Hassan; Qassimi, Sara

doi:10.1002/cpe.5624

Cited by 4 publications

(2 citation statements)

References 41 publications

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“…techniques of SocIS include social network analysis, collaborative filtering and social tagging [2]. The arrival of the social web has enabled users to add metadata using their keywords, called tags, to the shared content.…”

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confidence: 99%

Towards a folksonomy graph-based context-aware recommender system of annotated books

et al. 2021

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The emergence of collaborative interactions has empowered users by enabling their interactions through tagging practices that create a folksonomy, also called, classification of the shared resources, any identifiable thing or item on the system. In education, tagging is considered a powerful meta-cognitive strategy that successfully engages learners in the learning process. Besides, the collaborative tagging gathers learners’ opinions, thus, provides more comprehensible recommendations. Still, the abundant shared contents are mostly unorganized which makes it hard for users to select and discover the appropriate items of their interests. Thus, the use of recommender systems overcomes the distressing search problem by assisting users in their searching and exploring experience, and suggesting relevant items matching their preferences. In this regard, this article presents a folksonomy graphs based context-aware recommender system (CARS) of annotated books. The generated graphs express the semantic relatedness between these resources, i.e. books, by effectively modeling the folksonomy relationship between user-resource-tag and integrating contextual information within a multi-layer graph referring to a Knowledge Graph (KG). To put our proposal into shape, we model a real-world application of Goodbooks-10k dataset to recommend books. The proposed approach incorporates spectral clustering to deal with the graph partitioning problem. The experimental evaluation shows relevant performance results of graph-based book recommendations.

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Towards a folksonomy graph-based context-aware recommender system of annotated books

et al. 2021

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“…The second paper, entitled "Graph-based tag recommendations using clusters of patients in Clinical Decision Support System" by Hafidi et al 2 is concentrated on the important problem of tag recommendation for enhancing clinical decision support systems to extract similar patient's pathologies. The authors provide an interesting state-of-art covering Tag recommendation and Community detection.…”

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Towards understanding and harnessing the potential of Africa in digitalization

Benkrid

Badir

Lô

et al. 2020

Concurrency and Computation

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Towards understanding and harnessing the potential of Africa in digitalization 1 BACKGROUND Nowadays, the digital transformation is an intensive subject that refers to all the changes related to a process with the integration of advanced digital technologies such as cloud computing, Internet of Things, three-dimensional printing, artificial intelligence, and transportation in all aspects of human society. Digitalization affects any firm, any sector, any type of job, any function in organizations/institutions. Then it has become ubiquitous in multiple domains such as oil and gas, disease management, finance, banking, transportation, education, healthcare, agriculture, energy, environment, gastronomy, government services, and so forth. Africa is the world's second-largest and second-most-populous continent. Despite a wide range of natural resources, the continent suffers from many problems such as poverty, diseases, illiteracy, weak infrastructure, political instability, and conflicts. The continent features a relatively young population, as well as a diaspora of expatriate African researchers all willing to contribute to its development. Digital communication has spread very fast with improved access to the Internet. All these must enable an African shift to a successful digitalization transformation story with the promotion of technological advancements. The promotion of high education and research in Africa is one of the important keys for achieving digital transformation. This special issue has been launched by five researchers: four from African countries: Algeria, Morocco, Senegal, and Tunisia, and one from the African diaspora, working in France. This issue is dedicated to African young researchers contributing to digitalization efforts. An open call for papers has been organized, where it attracted 25 papers covering topics related to digitalization transformation, more particularly big data analytics, data integration, data mining, social media data exploitation, decision support systems, cloud computing, smart applications, Internet of Things, data security and risk, web services, quality of data transmission, recommendation, and combinatorial optimization methods. All submissions were peer-reviewed by at least two reviewers from our international program committee consisting of academia and industrials from 12 different countries and working on the various topics of our special issues. After two rounds of reviews, we finally accepted 11 papers, making an acceptance rate of 44%. One of the interesting characteristics of our accepted papers is that some of them integrate real case studies involving important domains in Africa such as Algerian mobile telecommunication and transportation services in the Maghreb countries. We

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