Recommender Systems in R

Bhatnagar, Saurabh

doi:10.1016/b978-0-12-411511-8.00005-0

Cited by 3 publications

(2 citation statements)

References 5 publications

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“…However, the continuous variable was dichotomized to make it easier to use in general practice and the HR plot is the one of cutoff optimization methods that have been used. 31 32 As a result, the amount of saline irrigation was dichotomized at 3,200 mL of saline and it was discovered that HR was less than zero and had a protective effect against the recurrence of CSDH.…”

Section: Discussionmentioning

confidence: 99%

Factors Associated with Recurrence in Chronic Subdural Hematoma following Surgery

Buakate

Tunthanathip

2023

Journal of Health and Allied Sciences NU

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Background Recurrence is a frequent complication after surgery in a chronic subdural hematoma (CSDH). This study aimed to describe the recurrent rate of CSDH after surgery. In addition, a secondary objective aimed to explore factors associated with the recurrence of CSDH after surgery. Methods A total of 141 surgical CSDH patients were analyzed in this retrospective study. The Cox regression method was used to conduct both univariate and multivariate analyses of variables associated with recurrence. As a result, the cumulative incidence of recurrence for each covariate survival curve was built after the final model. Results Twenty-two percent of the patients showed evidence of recurrence. Initially, four variables (Glasgow coma scale score 3–8, clopidogrel, operative time, and amount of irrigated saline) had potential factors in univariate analysis but only clopidogrel and amount of saline irrigation were significantly associated with CSDH recurrence. Conclusion Preoperative clopidogrel and the amount of saline irrigation were found to be associated with the recurrence rate. Factors associated with CSDH recurrence should be developed and validated as the clinical prediction tool for implication in general practice.

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Section: Discussionmentioning

confidence: 99%

Factors Associated with Recurrence in Chronic Subdural Hematoma following Surgery

Buakate

Tunthanathip

2023

Journal of Health and Allied Sciences NU

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“…Coordinating multi-plants within the supply chains can be of two types (28). The first type is called "general coordination" and addresses the problem of integrating decisions of different activities such as facility location, production, and distribution.…”

Section: Strategic and Operational Decisionsmentioning

confidence: 99%

Strategic and operational decisions in supply chains

Al‐Shihabi¹

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Social recommendation: A user profile clustering‐based approach

Ouaftouh

Zellou

Idri

2019

Concurrency and Computation

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The recommendation in information systems is a specific form of information filtering that aims to present the relevant information interesting the user. This technique is used in different contexts such as social networking, e-commerce and information retrieval. Generally, existing recommender system techniques implement collaborative filtering by deducing a part of user interests from the preferences of other users with similar profiles. Many techniques can be used to implement Collaborative Filtering such as Bayesian Networks, latent semantic, and clustering.We present in this work a novel clustering approach using a modified partitional algorithm. We propose a user model that integrates the relevant user information and a clustering algorithm that generates groups of similar user profiles by implementing a profile similarity function. The proposed approach is then evaluated based on a set of user profiles data corresponding to the context of an e-commerce website. KEYWORDSclustering algorithm, recommender systems, similarity measures, user profile INTRODUCTIONRecent technologies offer access to large masses of information. In order to help the user get relevant information that specifically concerns him/her, personalization is the appropriate solution. The concept of personalization, also called adaptation, is an extension of a research trend that has been actively used since the beginning of the 1980s in human-machine interaction. 1 Personalization can be as much about the content (data, information, document, etc) as about the container (IHM, interaction platform, communication mode, communication channel, etc). This concept is often used in a variety of domains, ie, Information Retrieval, e-commerce, tutoring systems, etc.In order to offer the user the personalized content adapted to his/her expectations, it is necessary to identify his/her needs and preferences. 2-4A personalized system has to satisfy preferences of the user based on his profile. 5 The user profile is built using information gathered about the user and his/her use of the system. Offering personalized content adapted to user's expectations implies identifying his/her needs and preferences. [2][3][4] The implementation of personalization can be performed through different techniques, ie, personalizing the appearance of the interface, filtering the incoming information or recommending content to the user. In this paper, we focus on the last option that is recommending the content to the user.It has been shown recently 6 that a normal user can lose interest after 60 to 90 seconds of choosing through reviewing 10 to 20 items on one or two screens. 6 That points to the risks of the user abandoning the system if he/she doesn't find what interests him/her. Recommendation aims to ensure that each user will find something corresponding to his/her preferences.In this work, a novel approach is proposed for a user profile clustering based recommendation. This approach considers a global user model represented with a keyword vector model structure usin...

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Recommender Systems in R

Cited by 3 publications

References 5 publications

Factors Associated with Recurrence in Chronic Subdural Hematoma following Surgery

Factors Associated with Recurrence in Chronic Subdural Hematoma following Surgery

Strategic and operational decisions in supply chains

Social recommendation: A user profile clustering‐based approach

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