Information Systems Frontiers最新文献_第7页

Mobile Technology Addiction Effect on Risky Behaviours: the Moderating Role of Use-Regulation 移动技术成瘾对危险行为的影响：使用调节的调节作用

IF 5.9 3区管理学

Information Systems Frontiers Pub Date : 2024-09-17 DOI: 10.1007/s10796-024-10537-3

Makafui Nyamadi, Ofir Turel

引用次数: 0

Towards Sustainability of AI – Identifying Design Patterns for Sustainable Machine Learning Development 实现人工智能的可持续性--确定可持续机器学习开发的设计模式

IF 5.9 3区管理学

Information Systems Frontiers Pub Date : 2024-09-16 DOI: 10.1007/s10796-024-10526-6

Daniel Leuthe, Tim Meyer-Hollatz, Tobias Plank, Anja Senkmüller

{"title":"Towards Sustainability of AI – Identifying Design Patterns for Sustainable Machine Learning Development","authors":"Daniel Leuthe, Tim Meyer-Hollatz, Tobias Plank, Anja Senkmüller","doi":"10.1007/s10796-024-10526-6","DOIUrl":"https://doi.org/10.1007/s10796-024-10526-6","url":null,"abstract":"As artificial intelligence (AI) and machine learning (ML) advance, concerns about their sustainability impact grow. The emerging field \"Sustainability of AI\" addresses this issue, with papers exploring distinct aspects of ML’s sustainability. However, it lacks a comprehensive approach that considers all ML development phases, treats sustainability holistically, and incorporates practitioner feedback. In response, we developed the sustainable ML design pattern matrix (SML-DPM) consisting of 35 design patterns grounded in justificatory knowledge from research, refined with naturalistic insights from expert interviews and validated in three real-world case studies using a web-based instantiation. The design patterns are structured along a four-phased ML development process, the sustainability dimensions of environmental, social, and governance (ESG), and allocated to five ML stakeholder groups. It represents the first artifact to enhance each ML development phase along each ESG dimension. The SML-DPM fuels advancement by aggregating distinct research, laying the groundwork for future investigations, and providing a roadmap for sustainable ML development.","PeriodicalId":13610,"journal":{"name":"Information Systems Frontiers","volume":"11 1","pages":""},"PeriodicalIF":5.9,"publicationDate":"2024-09-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142235101","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"管理学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Innovative Diagnostic Approaches for Predicting Knee Cartilage Degeneration in Osteoarthritis Patients: A Radiomics-Based Study 预测骨关节炎患者膝关节软骨退化的创新诊断方法：基于放射组学的研究

IF 5.9 3区管理学

Information Systems Frontiers Pub Date : 2024-09-12 DOI: 10.1007/s10796-024-10527-5

Francesca Angelone, Federica Kiyomi Ciliberti, Giovanni Paolo Tobia, Halldór Jónsson, Alfonso Maria Ponsiglione, Magnus Kjartan Gislason, Francesco Tortorella, Francesco Amato, Paolo Gargiulo

{"title":"Innovative Diagnostic Approaches for Predicting Knee Cartilage Degeneration in Osteoarthritis Patients: A Radiomics-Based Study","authors":"Francesca Angelone, Federica Kiyomi Ciliberti, Giovanni Paolo Tobia, Halldór Jónsson, Alfonso Maria Ponsiglione, Magnus Kjartan Gislason, Francesco Tortorella, Francesco Amato, Paolo Gargiulo","doi":"10.1007/s10796-024-10527-5","DOIUrl":"https://doi.org/10.1007/s10796-024-10527-5","url":null,"abstract":"Osteoarthritis (OA) is a common joint disease affecting people worldwide, notably impacting quality of life due to joint pain and functional limitations. This study explores the potential of radiomics — quantitative image analysis combined with machine learning — to enhance knee OA diagnosis. Using a multimodal dataset of MRI and CT scans from 138 knees, radiomic features were extracted from cartilage segments. Machine learning algorithms were employed to classify degenerated and healthy knees based on radiomic features. Feature selection, guided by correlation and importance analyses, revealed texture and shape-related features as key predictors. Robustness analysis, assessing feature stability across segmentation variations, further refined feature selection. Results demonstrate high accuracy in knee OA classification using radiomics, showcasing its potential for early disease detection and personalized treatment approaches. This work contributes to advancing OA assessment and is part of the European SINPAIN project aimed at developing new OA therapies.","PeriodicalId":13610,"journal":{"name":"Information Systems Frontiers","volume":"52 1","pages":""},"PeriodicalIF":5.9,"publicationDate":"2024-09-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142170506","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"管理学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

A Conceptual Framework for Digital Twin in Healthcare: Evidence from a Systematic Meta-Review 医疗保健领域数字双胞胎的概念框架：来自系统性元综述的证据

IF 5.9 3区管理学

Information Systems Frontiers Pub Date : 2024-09-12 DOI: 10.1007/s10796-024-10536-4

Giulia Pellegrino, Massimiliano Gervasi, Mario Angelelli, Angelo Corallo

引用次数: 0

Adoption of Blockchain E-Voting Service: Digital Literacy as a Mediating Mechanism 区块链电子投票服务的采用：作为中介机制的数字素养

IF 5.9 3区管理学

Information Systems Frontiers Pub Date : 2024-09-07 DOI: 10.1007/s10796-024-10532-8

Mousa Albashrawi, Amir Zaib Abbasi, Lin Li, Umair Rehman

{"title":"Adoption of Blockchain E-Voting Service: Digital Literacy as a Mediating Mechanism","authors":"Mousa Albashrawi, Amir Zaib Abbasi, Lin Li, Umair Rehman","doi":"10.1007/s10796-024-10532-8","DOIUrl":"https://doi.org/10.1007/s10796-024-10532-8","url":null,"abstract":"Blockchain has become a promising technology with huge benefits; nevertheless, its adoption intention has been scarce across different organizations, especially in government-to-citizens service (e.g., blockchain-based e-voting). Therefore, we aim to investigate how blockchain can affect citizens' adoption intention to use blockchain-based e-voting service. We study blockchain adoption intention by employing UTAUT2 as a theoretical base and the Replacement-Amplification-Transformation (R.A.T) technology integration model to study digital literacy as a mediating mechanism in our study model due to its significance in the contemporary business world. On the method side, we obtained 315 valid responses that we utilized to conduct a PLS-SEM-based analysis. Our findings state that digital literacy positively mediates the relationship between five determinants of UTAUT2 (e.g., facilitating conditions, social influence, hedonic motivation, habit, and price value) and citizens' intention to adopt blockchain e-voting service for casting their votes in elections. This study is among the first to examine the mediating mechanism of digital literacy between UTAUT2 factors and citizens' intention to adopt blockchain e-voting service. It is also worthwhile to quote that our study is a pioneer in extending the UTAUT2 model in the context of blockchain e-voting service. Lastly, we communicate the study's theoretical and practical implications to enrich both knowledge and industry.","PeriodicalId":13610,"journal":{"name":"Information Systems Frontiers","volume":"1 1","pages":""},"PeriodicalIF":5.9,"publicationDate":"2024-09-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142144332","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"管理学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Mining Patient-Generated Content for Medication Relations and Transition Network to Predict the Rankings and Volumes of Different Medications 挖掘患者生成内容中的用药关系和过渡网络，预测不同药物的排名和用量

IF 5.9 3区管理学

Information Systems Frontiers Pub Date : 2024-09-07 DOI: 10.1007/s10796-024-10530-w

Yuanyuan Gao, Anqi Xu, Paul Jen-Hwa Hu

{"title":"Mining Patient-Generated Content for Medication Relations and Transition Network to Predict the Rankings and Volumes of Different Medications","authors":"Yuanyuan Gao, Anqi Xu, Paul Jen-Hwa Hu","doi":"10.1007/s10796-024-10530-w","DOIUrl":"https://doi.org/10.1007/s10796-024-10530-w","url":null,"abstract":"Accurate estimates of medication rankings and volumes can benefit patients, physicians, online health communities, pharmaceutical companies, and the healthcare industry at large. This study analyzes patient-generated content in online health communities to discover important medication transition and combination patterns for better ranking and volume predictions. The current research takes a data-driven analytics approach to identify medication information from patient posts and classify different types of medication relations. The identified relation patterns then are represented in a medication relation network with an adjusted transition model for ranking and volume estimates. Evaluation results of real-world patient posts show the proposed method is more effective for predicting medication rankings than existing network-based measures. Moreover, a regression-based model, informed by the proposed method’s network-based outcomes, attains promising accuracy in estimating medication volumes, as revealed by the relatively low mean squared errors. Overall, the proposed method is capable of identifying important features for increased predictive power, as manifested by ({text{R}}^{2}) and adjusted ({text{R}}^{2}) values. It has the potential for better medication ranking and volume predictions, and offers insights for decision making by different stakeholders. This method is generalizable and can be applied in important prediction tasks in healthcare and other domains.","PeriodicalId":13610,"journal":{"name":"Information Systems Frontiers","volume":"71 1","pages":""},"PeriodicalIF":5.9,"publicationDate":"2024-09-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142144253","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"管理学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Machine Learning-Based Cooperative Clustering for Detecting and Mitigating Jamming Attacks in beyond 5G Networks 基于机器学习的合作聚类用于检测和缓解超 5G 网络中的干扰攻击

IF 5.9 3区管理学

Information Systems Frontiers Pub Date : 2024-09-06 DOI: 10.1007/s10796-024-10534-6

So-Eun Jeon, Sun-Jin Lee, Yu-Rim Lee, Heejung Yu, Il-Gu Lee

引用次数: 0

Leveraging Action Knowledge from Product Reviews to Enhance Human-Centered Recommender Systems: A Knowledge Graph-Based Framework 利用产品评论中的行动知识来增强以人为本的推荐系统：基于知识图谱的框架

IF 5.9 3区管理学

Information Systems Frontiers Pub Date : 2024-09-03 DOI: 10.1007/s10796-024-10529-3

Fouad Zablith

引用次数: 0

Protection or Cynicism? Dual Strategies for Coping with Privacy Threats 保护还是嘲讽？应对隐私威胁的双重策略

IF 5.9 3区管理学

Information Systems Frontiers Pub Date : 2024-08-30 DOI: 10.1007/s10796-024-10531-9

Lu Yu, Li He, Jian Du, Xiaobo Wu

引用次数: 0

Class Imbalance Problem: A Wrapper-Based Approach using Under-Sampling with Ensemble Learning 类不平衡问题：基于包围器的方法，利用采样不足与集合学习

IF 5.9 3区管理学

Information Systems Frontiers Pub Date : 2024-08-29 DOI: 10.1007/s10796-024-10533-7

Riyaz Sikora, Yoon Sang Lee

引用次数: 0