Proceedings of the ... Annual Hawaii International Conference on System Sciences. Annual Hawaii International Conference on System Sciences最新文献

TrialView: An AI-powered Visual Analytics System for Temporal Event Data in Clinical Trials. TrialView：用于临床试验中时间事件数据的人工智能可视化分析系统。

Proceedings of the ... Annual Hawaii International Conference on System Sciences. Annual Hawaii International Conference on System Sciences Pub Date : 2024-01-01 Epub Date: 2024-01-03

Zuotian Li, Xiang Liu, Zelei Cheng, Yingjie Chen, Wanzhu Tu, Jing Su

{"title":"TrialView: An AI-powered Visual Analytics System for Temporal Event Data in Clinical Trials.","authors":"Zuotian Li, Xiang Liu, Zelei Cheng, Yingjie Chen, Wanzhu Tu, Jing Su","doi":"","DOIUrl":"","url":null,"abstract":"Randomized controlled trials (RCT) are the gold standards for evaluating the efficacy and safety of therapeutic interventions in human subjects. In addition to the pre-specified endpoints, trial participants' experience reveals the time course of the intervention. Few analytical tools exist to summarize and visualize the individual experience of trial participants. Visual analytics allows integrative examination of temporal event patterns of patient experience, thus generating insights for better care decisions. Towards this end, we introduce TrialView, an information system that combines graph artificial intelligence (AI) and visual analytics to enhance the dissemination of trial data. TrialView offers four distinct yet interconnected views: Individual, Cohort, Progression, and Statistics, enabling an interactive exploration of individual and group-level data. The TrialView system is a general-purpose analytical tool for a broad class of clinical trials. The system is powered by graph AI, knowledge-guided clustering, explanatory modeling, and graph-based agglomeration algorithms. We demonstrate the system's effectiveness in analyzing temporal event data through a case study.","PeriodicalId":74512,"journal":{"name":"Proceedings of the ... Annual Hawaii International Conference on System Sciences. Annual Hawaii International Conference on System Sciences","volume":"2024 ","pages":"1169-1178"},"PeriodicalIF":0.0,"publicationDate":"2024-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11052597/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140873957","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Informing Acceptability and Feasibility of Digital Phenotyping for Personalized HIV Prevention among Marginalized Populations Presenting to the Emergency Department. 为在急诊科就诊的边缘化人群中开展个性化艾滋病毒预防工作提供数字表型的可接受性和可行性信息。

Proceedings of the ... Annual Hawaii International Conference on System Sciences. Annual Hawaii International Conference on System Sciences Pub Date : 2024-01-01 Epub Date: 2024-01-03

Tiffany R Glynn, Simran S Khanna, Mohammad Adrian Hasdianda, Jeremiah Tom, Krishna Ventakasubramanian, Arlen Dumas, Conall O'Cleirigh, Charlotte E Goldfine, Peter R Chai

{"title":"Informing Acceptability and Feasibility of Digital Phenotyping for Personalized HIV Prevention among Marginalized Populations Presenting to the Emergency Department.","authors":"Tiffany R Glynn, Simran S Khanna, Mohammad Adrian Hasdianda, Jeremiah Tom, Krishna Ventakasubramanian, Arlen Dumas, Conall O'Cleirigh, Charlotte E Goldfine, Peter R Chai","doi":"","DOIUrl":"","url":null,"abstract":"For marginalized populations with ongoing HIV epidemics, alternative methods are needed for understanding the complexities of HIV risk and delivering prevention interventions. Due to lack of engagement in ambulatory care, such groups have high utilization of drop-in care. Therefore, emergency departments represent a location with those at highest risk for HIV and in highest need of novel prevention methods. Digital phenotyping via data collected from smartphones and other wearable sensors could provide the innovative vehicle for examining complex HIV risk and assist in delivering personalized prevention interventions. However, there is paucity in exploring if such methods are an option. This study aimed to fill this gap via a cross-sectional psychosocial assessment with a sample of N=85 emergency department patients with HIV risk. Findings demonstrate that although potentially feasible, acceptability of digital phenotyping is questionable. Technology-assisted HIV prevention needs to be designed with the target community and address key ethical considerations.","PeriodicalId":74512,"journal":{"name":"Proceedings of the ... Annual Hawaii International Conference on System Sciences. Annual Hawaii International Conference on System Sciences","volume":"57 ","pages":"3192-3200"},"PeriodicalIF":0.0,"publicationDate":"2024-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10774708/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"139405603","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Real-World Implementation Challenges Associated with a Digital Pill System to Measure Adherence to HIV Pre-Exposure Prophylaxis from Two Studies of Men Who Have Sex With Men. 从两项针对男性同性性行为者的研究中发现的用于测量艾滋病暴露前预防依从性的数字药丸系统在现实世界中的实施挑战。

Proceedings of the ... Annual Hawaii International Conference on System Sciences. Annual Hawaii International Conference on System Sciences Pub Date : 2024-01-01 Epub Date: 2024-01-03

Georgia R Goodman, T Chris Carnes, Hannah Albrechta, Pamela Alpert, Joanne Hokayem, Charlotte Goldfine, Jasper S Lee, Edward W Boyer, Rochelle Rosen, Kenneth H Mayer, Conall O'Cleirigh, Peter R Chai

{"title":"Real-World Implementation Challenges Associated with a Digital Pill System to Measure Adherence to HIV Pre-Exposure Prophylaxis from Two Studies of Men Who Have Sex With Men.","authors":"Georgia R Goodman, T Chris Carnes, Hannah Albrechta, Pamela Alpert, Joanne Hokayem, Charlotte Goldfine, Jasper S Lee, Edward W Boyer, Rochelle Rosen, Kenneth H Mayer, Conall O'Cleirigh, Peter R Chai","doi":"","DOIUrl":"","url":null,"abstract":"Once-daily oral pre-exposure prophylaxis (PrEP) is highly effective for HIV prevention, but its efficacy is dependent on adherence, which can be challenging for men who have sex with men (MSM) with substance use. Digital pill systems (DPS) represent a novel tool for directly measuring adherence through ingestible radiofrequency sensors that confirm ingestions in real-time. We examined operational challenges across two studies involving DPS to measure PrEP adherence. While most participants successfully operated the system, a number of technological and sociobehavioral challenges requiring intervention were identified across both studies. Technological issues were both system- and participant-related, and were primarily addressed with technical updates and participant re-education, while sociobehavioral issues, including health and housing changes and issues with technology access, warranted innovative solutions. Future research leveraging DPS technology should develop robust supportive infrastructure and mitigation procedures to promptly identify and resolve operational issues to optimize the potential benefits of DPS use.","PeriodicalId":74512,"journal":{"name":"Proceedings of the ... Annual Hawaii International Conference on System Sciences. Annual Hawaii International Conference on System Sciences","volume":"57 ","pages":"3211-3221"},"PeriodicalIF":0.0,"publicationDate":"2024-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10783042/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"139426221","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Out with the Old, In with the New: Examining National Cybersecurity Strategy Changes over Time 旧的去了，新的来了:审视国家网络安全战略的变化

Proceedings of the ... Annual Hawaii International Conference on System Sciences. Annual Hawaii International Conference on System Sciences Pub Date : 2023-07-24 DOI: 10.24251/hicss.2022.284

W. Cram, Jonathan Yuan

引用次数: 0

The Roles of Digital Exhibition in Enhancing Immersive Experience and Purchase Intention 数字展览对增强沉浸式体验和购买意愿的作用

Proceedings of the ... Annual Hawaii International Conference on System Sciences. Annual Hawaii International Conference on System Sciences Pub Date : 2023-03-31 DOI: 10.24251/HICSS.2021.545

S. Yoon, Jai-Yeol Son

引用次数: 1

Designing an AI compatible open government data ecosystem for public governance 设计兼容人工智能的公共治理开放政府数据生态系统

Proceedings of the ... Annual Hawaii International Conference on System Sciences. Annual Hawaii International Conference on System Sciences Pub Date : 2023-03-23 DOI: 10.24251/hicss.2022.291

E. Tan

{"title":"Designing an AI compatible open government data ecosystem for public governance","authors":"E. Tan","doi":"10.24251/hicss.2022.291","DOIUrl":"https://doi.org/10.24251/hicss.2022.291","url":null,"abstract":"AI solutions can significantly leverage open government data (OGD) ecosystems in public governance. For that, it is important to design effective and transparent governance mechanisms that create value in an OGD ecosystem through AI solutions. This article develops a conceptual model for a systematic design of an OGD governance model, which adopts a platform governance approach and integrates the governance needs derived from the use of AI. The purpose of the conceptual model is to systematically identify and analyze the interrelationships among multiple change factors on OGD governance design and to project available AI-based solutions for the OGD ecosystem by assessing the managerial, organizational, legal, technological, moral, and institutional variances. The proposed ‘6-step model’ suggests that an AI-compatible OGD ecosystem design requires (i) identifying contingencies, (ii) identifying data prosumers, (iii) assigning data governance roles, (iv) identifying design values, (v) designing the governance of AI, and (vi) designing the governance by AI. Through the recursive and reflexive analysis of each step, policymakers and system designers can develop reliable strategies in leveraging AI solutions for the use of OGD in public governance.","PeriodicalId":74512,"journal":{"name":"Proceedings of the ... Annual Hawaii International Conference on System Sciences. Annual Hawaii International Conference on System Sciences","volume":"112 1","pages":"1-10"},"PeriodicalIF":0.0,"publicationDate":"2023-03-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"82435202","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Pushing for Social Change: How Collaborations Are Recalibrating the Journalistic Mission 推动社会变革:合作如何重新校准新闻使命

Proceedings of the ... Annual Hawaii International Conference on System Sciences. Annual Hawaii International Conference on System Sciences Pub Date : 2023-03-09 DOI: 10.1080/17512786.2023.2187862

P. Walters

引用次数: 2

Network Inspection Using Heterogeneous Sensors for Detecting Strategic Attacks 基于异构传感器的网络检测策略攻击

Proceedings of the ... Annual Hawaii International Conference on System Sciences. Annual Hawaii International Conference on System Sciences Pub Date : 2023-02-10 DOI: 10.24251/hicss.2022.822

Bobak Mccann, Mathieu Dahan

引用次数: 2

Energy Efficiency of Training Neural Network Architectures: An Empirical Study 训练神经网络架构的能量效率:一个实证研究

Proceedings of the ... Annual Hawaii International Conference on System Sciences. Annual Hawaii International Conference on System Sciences Pub Date : 2023-02-02 DOI: 10.48550/arXiv.2302.00967

Yi Xu, Silverio Mart'inez-Fern'andez, Matias Martinez, Xavier Franch

引用次数: 4

PULL: Reactive Log Anomaly Detection Based On Iterative PU Learning 基于迭代PU学习的反应性日志异常检测

Proceedings of the ... Annual Hawaii International Conference on System Sciences. Annual Hawaii International Conference on System Sciences Pub Date : 2023-01-25 DOI: 10.48550/arXiv.2301.10681

Thorsten Wittkopp, Dominik Scheinert, Philipp Wiesner, Alexander Acker, O. Kao

{"title":"PULL: Reactive Log Anomaly Detection Based On Iterative PU Learning","authors":"Thorsten Wittkopp, Dominik Scheinert, Philipp Wiesner, Alexander Acker, O. Kao","doi":"10.48550/arXiv.2301.10681","DOIUrl":"https://doi.org/10.48550/arXiv.2301.10681","url":null,"abstract":"Due to the complexity of modern IT services, failures can be manifold, occur at any stage, and are hard to detect. For this reason, anomaly detection applied to monitoring data such as logs allows gaining relevant insights to improve IT services steadily and eradicate failures. However, existing anomaly detection methods that provide high accuracy often rely on labeled training data, which are time-consuming to obtain in practice. Therefore, we propose PULL, an iterative log analysis method for reactive anomaly detection based on estimated failure time windows provided by monitoring systems instead of labeled data. Our attention-based model uses a novel objective function for weak supervision deep learning that accounts for imbalanced data and applies an iterative learning strategy for positive and unknown samples (PU learning) to identify anomalous logs. Our evaluation shows that PULL consistently outperforms ten benchmark baselines across three different datasets and detects anomalous log messages with an F1-score of more than 0.99 even within imprecise failure time windows.","PeriodicalId":74512,"journal":{"name":"Proceedings of the ... Annual Hawaii International Conference on System Sciences. Annual Hawaii International Conference on System Sciences","volume":"5 1","pages":"1376-1385"},"PeriodicalIF":0.0,"publicationDate":"2023-01-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"74564368","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 2