scholarly journals Time Conserving Multi-Label Classification System by Incorporating Pyramid Data Structure

2019 ◽  
Vol 8 (6) ◽  
pp. 1379-1384
Keyword(s):  
Data Structure ◽  
Classification System ◽  
Data Classification ◽  
Classification Systems ◽  
Recall Accuracy ◽  
Single Entity ◽  
Research Areas ◽  
Numerous Data ◽  
Multi Class Classification ◽  
The Relationship

Data classification is one of the evergreen research areas of data analysis. Numerous data classification approaches exist in the literature and most of the classification systems are based on binary and multi-class classification. Multi-label classification system attempts to suggest multiple labels for a single entity. However, it is complex to attain a better multi-label classification system. Taking this as a challenge, this work proposes a multi-label classification system, which extracts the features of both entities and labels. The relationship between them are organised in the pyramid data structure. As the features are organized effectively, the interrelated labels are present in the same tier. This feature makes it simple for suggesting multiple labels for a single entity. The performance of this work is analysed over three different datasets and compared against existing approaches in terms of precision, recall, accuracy and time consumption.

Testing the GDPR in Relation to Biobanking

2021 ◽  
pp. 148-158
Author(s):  
Dara Hallinan
Keyword(s):  
Classification System ◽  
Personal Data ◽  
Data Classification ◽  
Genetic Data ◽  
Classification Systems ◽  
General Data Protection Regulation ◽  
Data Processor ◽  
General Data ◽  
Data Controller ◽  
Data Subject

This chapter addresses how the biobanking process—in the instances in which it falls within the scope of the General Data Protection Regulation (GDPR)—is classified under the GDPR's classification systems. These classification systems do not, themselves, constitute substantive provisions; they do not consist of rights or obligations. They are, however, key in determining the types of actors to whom substantive provisions apply and the way in which substantive provisions apply. The chapter begins with a detailed elaboration of the GDPR's two key classification systems: the actor classification system and the personal data classification system. It then describes how the actor classification system applies to actors involved in the biobanking process, focusing on the applicability of the concepts of ‘data subject’, ‘data controller’, and ‘data processor’. Finally, the chapter considers how the personal data classification system applies to personal data processed in biobanking, looking, in particular, at the applicability of the concepts of ‘genetic data’ and ‘data concerning health’.

Exploring the Influences of Service Characteristics on Individuals’Use Intention of Mobile Health Services (Preprint)

2020 ◽  
Author(s):  
Fei Liu ◽  
Pengkun Wu ◽  
Xitong Guo
Keyword(s):  
Personal Information ◽  
New Technology ◽  
Information Service ◽  
Health Care Research ◽  
Privacy Concern ◽  
Service Adoption ◽  
Service Characteristics ◽  
Research Areas ◽  
New Information ◽  
The Relationship

BACKGROUND Service characteristic factors are verified as the determinants for influencing people’s use intention of mHealth. Exploration of the interactions among the service characteristics of users can play an important role in improving service adoption rate. mHealth service appears to be an emerging new technology that presents a new pattern of healthcare service; however, users have concerns that their personal information might be disclosed and used without permission. This concern hinders people’s adoption behavior of mHealth services. OBJECTIVE The objective of this study is to explore how service characteristics (service relevance and service accuracy) interact to influence individuals’ use intention of mHealth services. This study also investigates the moderating roles of innovativeness and privacy concern. METHODS To meet these objectives, six hypotheses thus developed were empirically validated using a survey to test the effects of service characteristics and personal traits on use intention of mHealth. RESULTS We confirm that service relevance and service accuracy positively and directly influence individuals’ use intention of mHealth services. In addition, innovativeness positively affects the relationship between service relevance and use intention. Privacy concern negatively influences the relationship between service relevance and use intention, but positively influences the relationship between service accuracy and use intention. CONCLUSIONS The present study provides new insights into the influencing factors of individuals’ usage behaviour toward mHealth services. Such insight could provide further understanding of how individuals adopt new information service or technologies, which contribute to both information system and health care research areas in a very promising way.

scholarly journals Toward the Development of a Comprehensive Clinically Oriented Patient Profile: A Systematic Review of the Purpose, Characteristic, and Methodological Quality of Classification Systems of Adult Spinal Deformity

Neurosurgery ◽  
2021 ◽  
Author(s):  
Kenny Yat Hong Kwan ◽  
J Naresh-Babu ◽  
Wilco Jacobs ◽  
Marinus de Kleuver ◽  
David W Polly ◽  
...  
Keyword(s):  
Systematic Review ◽  
Decision Making ◽  
Classification System ◽  
Methodological Quality ◽  
Literature Search ◽  
Adult Spinal Deformity ◽  
Classification Systems ◽  
Systematic Literature Search ◽  
Patient Profile

Abstract BACKGROUND Existing adult spinal deformity (ASD) classification systems are based on radiological parameters but management of ASD patients requires a holistic approach. A comprehensive clinically oriented patient profile and classification of ASD that can guide decision-making and correlate with patient outcomes is lacking. OBJECTIVE To perform a systematic review to determine the purpose, characteristic, and methodological quality of classification systems currently used in ASD. METHODS A systematic literature search was conducted in MEDLINE, EMBASE, CINAHL, and Web of Science for literature published between January 2000 and October 2018. From the included studies, list of classification systems, their methodological measurement properties, and correlation with treatment outcomes were analyzed. RESULTS Out of 4470 screened references, 163 were included, and 54 different classification systems for ASD were identified. The most commonly used was the Scoliosis Research Society-Schwab classification system. A total of 35 classifications were based on radiological parameters, and no correlation was found between any classification system levels with patient-related outcomes. Limited evidence of limited quality was available on methodological quality of the classification systems. For studies that reported the data, intraobserver and interobserver reliability were good (kappa = 0.8). CONCLUSION This systematic literature search revealed that current classification systems in clinical use neither include a comprehensive set of dimensions relevant to decision-making nor did they correlate with outcomes. A classification system comprising a core set of patient-related, radiological, and etiological characteristics relevant to the management of ASD is needed.

Computerized Cone Penetration Test for Soil Classification

2008 ◽  
Vol 2053 (1) ◽  
pp. 47-64 ◽  
Author(s):  
Murad Y. Abu-Farsakh ◽  
Zhongjie Zhang ◽  
Mehmet Tumay ◽  
Mark Morvant
Keyword(s):  
Classification System ◽  
Soil Classification ◽  
Cone Penetration Test ◽  
Classification Systems ◽  
Fuzzy Classification ◽  
Classification Methods ◽  
Penetration Test ◽  
Cone Penetration ◽  
Cone Tip Resistance ◽  
Tip Resistance

Computerized MS-Windows Visual Basic software of a cone penetration test (CPT) for soil classification was developed as part of an extensive effort to facilitate the implementation of CPT technology in many geotechnical engineering applications. Five CPT soil engineering classification systems were implemented as a handy, user-friendly, software tool for geotechnical engineers. In the probabilistic region estimation and fuzzy classification methods, a conformal transformation is first applied to determine the profile of soil classification index (U) with depth from cone tip resistance (qc) and friction ratio (Rf). A statistical correlation was established in the probabilistic region estimation method between the U index and the compositional soil type given by the Unified Soil Classification System. Conversely, the CPT fuzzy classification emphasizes the certainty of soil behavior. The Schmertmann and Douglas and Olsen methods provide soil classification charts based on cone tip resistance and friction ratio. However, Robertson et al. proposed a three-dimensional classification system that is presented in two charts: one chart uses corrected tip resistance (qt) and friction ratio (Rf); the other chart uses qt and pore pressure parameter (Bq) as input data. Five sites in Louisiana were selected for this study. For each site, CPT tests and the corresponding soil boring results were correlated. The soil classification results obtained using the five different CPT soil classification methods were compared.

Yoruba Disease Classifications for Planning in Health Care

1983 ◽  
Vol 4 (2) ◽  
pp. 117-122 ◽  
Author(s):  
William R. Brieger ◽  
Jayashree Ramakrishna ◽  
Joshua D. Adeniyi
Keyword(s):  
Health Care ◽  
Primary Health Care ◽  
Classification System ◽  
Training Programs ◽  
Classification Systems ◽  
Disease Classification ◽  
General Point ◽  
Primary Health ◽  
Illness And Disease ◽  
Point Of Departure

An understanding of local concepts of illness and disease that underlie disease classification systems is essential for designing culturally relevant training programs in primary health care. Prior to training personnel in primary health care in Idere, Nigeria, residents were interviewed revealing that two main groups of disease exist. Generally, arun is serious, chronic and contagious, while aisan represents temporary indispositions. When given seventeen conditions to classify, respondents clearly demarked five as arun and five as aisan while the remainder fell in a grey area in between. Ironically, malaria which is a dangerous disease to young children, was classified as aisan. The disease classification system is being used as a general point of departure for discussion during training. Concerning training on the specific diseases, appropriate ideas are reinforced while others are modified all within the context of the local classification system.

scholarly journals Cultural and Social Diversity as an Economic Resource

2021 ◽  
Vol 65 (2) ◽  
pp. 141-155
Author(s):  
Damian S. Pyrkosz
Keyword(s):  
Economic Development ◽  
Negative Impact ◽  
Positive Impact ◽  
Economic Systems ◽  
Main Body ◽  
Social Diversity ◽  
Economic Resource ◽  
Numerous Data ◽  
The Relationship

The paper seeks to identify the role of cultural and social diversity in economic development. It starts by defining the terms that are critical to the analysis, including diversity, fractionalization, polarization, social diversity, cultural diversity and economic resources, as well as providing the most significant indexes thereof. The main body of the paper interprets the notions of cultural and social diversity in terms of being a valuable economic resource. Furthermore, it collects a vast body of literature to demonstrate the relationship between the cultural/social diversity and economic development with regard to adverse or positive impact on the latter. In regard to the negative impact of diversity, the paper identifies it in the area of social communication, social capital and networks, as it effectively causes a decrease in productivity and increase in social conflict and isolation. The positive link is demonstrated with examples in the areas of innovation, creativity, usage of complementary abilities and experiences, and their role in increasing productivity. The paper refers to numerous data sources, studies and indexes illustrating how the economic systems of various countries perform in the context of the paper’s subject-matter.

scholarly journals Do audiological classification systems cause more confusion than clarity?

2020 ◽  
Keyword(s):  
Classification System ◽  
Intervention Studies ◽  
Classification Systems ◽  
Patient Access ◽  
Access To Services

The lack of a single classification system is clearly problematic, not least because it renders intervention studies difficult to interpret and has implications for patient access to services.

Evolution of Hotel Classification System in Russian Federation

2021 ◽  
Vol 12 (1) ◽  
pp. 277
Author(s):  
Dmitry Aleksandrovich KOZLOV
Keyword(s):  
Russian Federation ◽  
Classification System ◽  
State Standards ◽  
Classification Systems ◽  
International Standards ◽  
Economic Activities ◽  
World Tourism Organization ◽  
The Russian Federation ◽  
Tourism Organization

The main aim of this paper is to analyze the approaches to the system of classification of accommodation facilities in the Russian Federation. The United Nations World Tourism Organization pays great attention to the unification of classification systems for accommodation facilities in all countries of the world, issuing appropriate recommendations on tourism statistics systems, classification of economic activities, as well as criteria for interregional harmonization. In the Russian Federation, there are a number of laws, regulations, state standards, building and sanitary norms and rules concerning the classification of accommodation facilities. They are so imperfect that they have to be revised almost annually or even several times a year. The general statistics of accommodation facilities currently do not correspond to world recommendations. The classification system needs to be revised and brought into line with international standards as much as possible.

Gender inequities in the online dissemination of scholars’ work

2021 ◽  
Vol 118 (39) ◽  
pp. e2102945118
Author(s):  
Orsolya Vásárhelyi ◽  
Igor Zakhlebin ◽  
Staša Milojević ◽  
Emőke-Ágnes Horvát
Keyword(s):  
Gender Gap ◽  
Large Scale ◽  
Gender Disparities ◽  
Female Representation ◽  
Scientific Impact ◽  
The Public ◽  
Research Areas ◽  
Coauthorship Networks ◽  
The Impact ◽  
The Relationship

Unbiased science dissemination has the potential to alleviate some of the known gender disparities in academia by exposing female scholars’ work to other scientists and the public. And yet, we lack comprehensive understanding of the relationship between gender and science dissemination online. Our large-scale analyses, encompassing half a million scholars, revealed that female scholars’ work is mentioned less frequently than male scholars’ work in all research areas. When exploring the characteristics associated with online success, we found that the impact of prior work, social capital, and gendered tie formation in coauthorship networks are linked with online success for men, but not for women—even in the areas with the highest female representation. These results suggest that while men’s scientific impact and collaboration networks are associated with higher visibility online, there are no universally identifiable facets associated with success for women. Our comprehensive empirical evidence indicates that the gender gap in online science dissemination is coupled with a lack of understanding the characteristics that are linked with female scholars’ success, which might hinder efforts to close the gender gap in visibility.

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