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GlyMan: Glycemic Management using Patient-Centric Counterfactuals

GlyMan: Glycemic Management using Patient-Centric Counterfac...

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2024 ieee-EMBS international conference on Biomedical and Health informatics, BHI 2024

作者： Arefeen, Asiful Khamesian, Saman Grando, Maria Adela Thompson, Bithika Ghasemzadeh, Hassan College of Health Solutions Arizona State University PhoenixAZ85004 United States School of Computing and Augmented Intelligence Arizona State Univer-sity TempeAZ85281 United States Mayo Clinic Arizona Department of Endocrinology ScottsdaleAZ85259 United States

ISBN: (纸本)9798350351552

Prolonged and frequent exposure to elevated blood glucose levels (hyperglycemia) significantly increases the likelihood of developing chronic complications, such as neuropathy, nephropathy, and cardiovascular disease, along with acute symptoms like fatigue and blurry vision. While current technologies, such as continuous subcutaneous insulin infusion (CSII) and continuous glucose monitors (CGMs), can forecast adverse events like hypoglycemia and deliver small insulin doses to counteract hyperglycemia, progress in developing tailored AI-driven interventions remains limited, which poses a barrier to optimal diabetes care. To address this gap, we propose leveraging counterfactual explanations that guide patients in making targeted adjustments to their carbohydrate intake and insulin dosing to avoid abnormal glucose levels. We introduce GlyMan4, a novel method that generates counterfactual behavioral recommendations aimed at helping patients and caregivers make small, informed changes to prevent hyperglycemia, thus substantially reducing both its frequency and duration. Additionally, GlyMan incorporates user preferences into its intervention process and ensures more customized and patient-centered guidance. We rigorously evaluated GlyMan using real-world data from 21 type 1 diabetes (T1D) patients using automated insulin delivery (AID) systems. Results indicate that GlyMan surpasses existing methods, delivering 76.6% valid explanations and 86% effectiveness when assessed against historical data. © 2024 ieee.

关键词： Endocrinology

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Artificial Intelligence in Human-Computer Interaction: To Serve and Protect 16

Artificial Intelligence in Human-Computer Interaction: To Se...

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16th international conference on Advanced Technologies, Systems and Services in Telecommunications, TELSIKS 2023

作者： Jevremovic, Aleksandar D. Singidunum University Faculty of Informatics and Computing Belgrade11000 Serbia

ISBN: (纸本)9798350347029

The rapid development and progress of artificial intelligence algorithms in the last decade has opened up many new possibilities and fields for its application. The field of human-computer interaction is not only not an exception, but it can also be considered a veteran. Among the general population, there is a certain level of apprehension when it comes to introducing artificial intelligence into new areas and aspects of human life. In this paper, we will attempt to shed new light on this issue and the current trend of villainizing AI, as well as present current trends in enhancing user security based on it. We will summarize the current conditions, trends and experiences in this area. © 2023 ieee.

关键词： Human computer interaction

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VM Migration that Assures and Maximizes Accuracy in Multi-stage Information Processing Systems

VM Migration that Assures and Maximizes Accuracy in Multi-st...

引用

2024 ieee international conference on Consumer Electronics, ICCE 2024

作者： Nakane, Kazutoshi Fukushima, Yukinobu Wu, Celimuge Ji, Yusheng Murase, Tutomu Nagoya University Nagoya Japan Okayama University Okayama Japan University of Electro-Communications Tokyo Japan National Insitute of Informatics Tokyo Japan

ISBN: (纸本)9798350324136

In this paper, we propose a Virtual Machine (VM) migration method that maximizes the total accuracy in a multistage information processing system, under the constraint that the given ratio of tasks satisfy the constraint of improving the given level of accuracy (i.e., progress in information processing) within a required response time. Conventional methods only aim to improve the total accuracy and do not consider achieving the given level of accuracy for each task. The proposed method aims to improve the ratio of tasks that can satisfy the given level of accuracy by balancing the load among edge servers as much as possible. In order to confirm the effectiveness of the proposed method, we set the given level of task accuracy and evaluate the total accuracy by varying the number of VMs present in the system. The evaluation results show that the proposed method improves the number of VMs satisfying the given level of accuracy by 120% and the total accuracy by up to approximately 13% compared to the case without VM migration. © 2024 ieee.

关键词： Edge computing Multi-stage Information Processing System

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Block Chain and Distributed computing Aided with Cloud Technology- A Specific Reference to Security Issues of Healthcare Industry 2

Block Chain and Distributed Computing Aided with Cloud Techn...

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2nd ieee international conference on Advances in computing, Communication and Applied informatics, ACCAI 2023

作者： Murugamani, Chakravarthi Nadh Singh, Bhaludra R. Pravalika, Kallu Rethvikha Sri, P. Sowmya, Chennuru Sai Reddy, Mankhala Shreya Department of Information Technology Bhoj Reddy Engineering College for Women Telangana Hyderabad59 India Department of Computer Science and Engineering Bhoj Reddy Engineering College for Women Telangana Hyderabad59 India Bhoj Reddy Engineering College for Women Telangana Hyderabad59 India

ISBN: (纸本)9798350315905

There has been a significant uptick in the need for user-centric electronic records to save the many characteristics of a patient's medical history as they are recorded at a hospital during treatment and to make those records available as and when they are needed for future treatment, care, or invoicing. Blockchain technology allows us to save these data on a distributed ledger, allowing us to begin and enable use at breakneck speeds while still maintaining a transparent and secure system. To save records safely and in an interoperable fashion, a distributed system with ledger functionality is used. Block chain technology has the potential to revolutionize the way digital assets are transacted by removing the need for a trusted third party to authenticate data authenticity, record asset ownership, or mediate financial or data transactions. Immutability, decentralisation, and transparency are three of its defining characteristics, making it well suited to resolving pressing problems in the healthcare industry, such as the lack of comprehensive peer-to-peer files and the inability to easily access patients' medical histories. Health care systems that are efficient and successful depend on interoperability, the capacity of different health organisations and manufacturers of different software products to connect and share data in a safe and smooth manner. Many problems in modern healthcare can be traced back to a lack of interoperability, such as siloed data, sluggish communications, and different workflow tools. To address this, it is recommended to implement a system that provides secure, pseudo-anonymous access to complete, recognised longitudinal medical records stored in silos. In this article, we conducted a system overview and literature review of block chain technology in a fog computing environment, both of which are capable of processing vast amounts of data in a decentralised fashion. Our in-progress experimental study reveals weaknesses in existing systems

关键词： Interoperability

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The Latest progress of Research on the Urban Functional Areas Based on CiteSpace Methods 23

The Latest Progress of Research on the Urban Functional Area...

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23rd ieee international conference on High Performance computing and Communications, 7th ieee international conference on Data Science and Systems, 19th ieee international conference on Smart City and 7th ieee international conference on Dependability in Sensor, Cloud and Big Data Systems and Applications, HPCC-DSS-SmartCity-DependSys 2021

作者： Hu, Yanru Jing, Changfeng School of Geomatics and Urban Spatial Informatics Beijing University of Civil Engineering and Architecture Beijing China

ISBN: (纸本)9781665494571

With the rapid development of Information Communication Technology (ICT), research on urban functional areas has been one of the hot research issue in urban study domain. CiteSpace as the bibliometric tools was widely used to detect the studies tendency toward several dimensions like country/institution, authors, cited references and keywords. Therefore, The aim at this work is set to understand the research progress of urban functional areas in recent 30 years. This article explored the research hot-spots and development trended, and visualized the literature measurements of domestic and foreign literature. Finally, we tried to propose the challenge and research direction for future work based on the literature quantity and quality analysis. © 2021 ieee.

关键词： Visualization Statistical analysis Smart cities Bibliometrics Collaboration Market research Software

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A Dual-Path Transformer Network for Scene Text Detection 48

A Dual-Path Transformer Network for Scene Text Detection

引用

48th ieee international conference on Acoustics, Speech and Signal Processing, ICASSP 2023

作者： Lin, Jingyu Yan, Yan Wang, Hanzi Xiamen University Fujian Key Laboratory of Sensing and Computing for Smart City School of Informatics Xiamen China

ISBN: (纸本)9781728163277

The prosperity of deep learning contributes to the rapid progress of scene text detection. Among all the methods, segmentation-based methods have drawn extensive attention due to their superiority in detecting text instances of arbitrary shapes and extreme aspect ratios. However, the bottom-up methods are limited to the performance of their segmentation models. In this paper, we propose DPTNet (Dual-Path Transformer Network), a simple yet effective network to utilize both global and local information for the scene text detection task. Moreover, we propose a parallel design that integrates the convolutional network with a powerful self-attention mechanism to provide complementary clues. In addition, a bi-directional interaction module across two paths is developed to provide complementary clues along the channel and spatial dimensions. Our DPTNet achieves state-of-the-art results on several standard benchmarks in terms of both detection accuracy and speed. © 2023 ieee.

关键词： Bidirectional Interaction Dual-path Scene text detection

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Research Trends in Application of Artificial Intelligence in Alzheimer's Disease: Bibliometric and Visualization Analysis 7

Research Trends in Application of Artificial Intelligence in...

引用

7th ieee international conference on Big Data and Artificial Intelligence, BDAI 2024

作者： Yang, Xin Xu, Xuan Ying, Jun Fudan University Library Shanghai China Fudan University Intellectual Property Information Service Center Shanghai China Fudan University Big Health Informatics Research Center Shanghai China

ISBN: (纸本)9798350352009

The remarkable performance of Artificial Intelligence (AI) in the diagnosis and prediction of Alzheimer's disease (AD) has attracted considerable attention in recent years. This study intends to outline the development trends and research focus in the AI-Alzheimer field. The VOSviewer and bibliometrix R software package are employed for bibliometrics and visualization analysis of literature obtained from the Web of Science Core Collection database. There are 5,991 affiliations from 104 countries/regions that published 5,675 articles in this field by 2023. Results demonstrate that the number of AIAlzheimer-related publications has experienced slow progress for over twenty years before entering a period of exponential growth in 2016. The United States and China, contributing over 54% of the publications, stand out as leaders in technological innovation and international cooperation. The clustering analysis of keywords indicates that the major research domains are the utilization of machine learning and deep learning algorithms for AD and mild cognitive impairment (MCI) classification, early diagnosis of disease, and drug discovery. Generative adversarial networks (GANs), transfer learning, and Transformers are the emerging AI algorithms applied in the field of Alzheimer's research, which also represent promising directions for future investigation. The findings provide a comprehensive summary of the AI-Alzheimer field and identify research frontiers, offering valuable references for scholars. © 2024 ieee.

关键词： Adversarial machine learning

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Role of Learning Management System for Evaluating Students' progress in Learning Environment 5

Role of Learning Management System for Evaluating Students' ...

引用

5th international conference on Contemporary computing and informatics, IC3I 2022

作者： Pal, Neeti Dahiya, Omdev Lovely Professional University School of Computer Applications Punjab India Lovely Professional University School of Computer Science and Engineering Punjab India

ISBN: (纸本)9798350398267

The paper contributes to getting familiar with various tools and platforms incorporated with learning dashboards that provide digital teaching and learning. The article also includes the different components for learning analytics used by various universities in their LMSs dashboards to improve their teaching-learning achievements. Learning analytics dashboards plays a vital role in the virtual learning environment. These tools work by tracking learners' data, analyzing data, and presenting the results by revealing the patterns of learners' behavior and attitude. This paper contributes to an analysis of learning dashboards and tools. The article also explains how these tools track, extract and analyze the students' learning progress and monitor their activities. Various visualization techniques are also discussed in this paper. This study will help determine the impact of using learning tools to evaluate learners' learning outcomes. © 2022 ieee.

关键词： Computer aided instruction

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progress in 6G Technology: A Short Review 6

Progress in 6G Technology: A Short Review

引用

6th international conference on Computer and informatics Engineering, IC2IE 2023

作者： Maulana, Muhammad Irfan Suryanegara, Muhammad Universitas Indonesia Faculty of Technology Dept. of Electrical Engineering Depok Indonesia

ISBN: (纸本)9798350345162

With the ITU's approval of the new draft proposal recommendations within the IMT Framework document for the period beyond 2030, research has recognized that 6G mobile technology incorporates numerous enhancements in usage scenarios and capabilities. This paper presents a short review of the progress of 6G technological advancement, including its use cases, key performance indicators, innovations in network support technology, and several potential spectrum options. The review is developed based on primary literature, including the relevant ITU document that encompasses IMT 2030 usage scenarios (as of June 2023). In this paper, we try to define progress in research for new services related to 6G use cases. A simulation is conducted to offer an overview of the theoretical 6G capacity. The simulation for theoretical 6G capacity is based on the bandwidth of spectrum candidates between 100 MHz and 1000 MHz. For network support, we identify some requirements to support 6G networks, such as integrated access and backbone, integrated space and terrestrial networks, free-space optical networks, distributed cloud computing, and artificial intelligence. Finally, the paper will also delve into discussing the implications and challenges expected during the 6G implementation phase, including the fulfillment of the key performance indicator objectives and the key value indicator, which is divided into two main components: the first is growth, and the second is sustainability and efficiency domains. © 2023 ieee.

关键词： 6G IMT-2030 network spectrum use case

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Investigating the progress of Smart Grid Technologies in the Kingdom of Saudi Arabia: Emerging Trends and Challenges 6

Investigating the Progress of Smart Grid Technologies in the...

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6th international conference on Contemporary computing and informatics, IC3I 2023

作者： Alghassab, Mohammed College of Engineering Electrical Engineering Department Shaqra University Riyadh Saudi Arabia

ISBN: (纸本)9798350304480

Modernization, improved living standards, as well as technological developments have all led to a rise in energy consumption. This led to a rise in power consumption that, if unchecked, could become out of control. This is a critical problem for the worldwide conservation and protection of the ecosystem as well as for the availability of sustainable power. Over the past several decades, the Kingdom of Saudi Arabia (KSA) has steadily increased its electricity demand. The private, commercial, as well as manufacturing sectors increased consumption is driving the Saudi electricity industry's rapid growth. The Kingdom's recent domestic energy consumption patterns have unavoidable serious repercussions that have an impact on both production as well as trade stages. Therefore, quick action is required to reduce the nation's rising energy needs and encourage energy conservation. The dynamic smart grid can close the shortfall in Saudi Arabia between the country's current supply and rising demand. In order to attain long-term advancement and consistent electricity supply, Saudi Arabia is focusing on its Vision 2030 strategic approach. Recognizing the development of Saudi Arabia's smart grid technology adoption is determined by the consequences of this investigation. This paper succinctly explains the KSA's planned grid system transformation under the 2030 strategic plan. Also discussed benefits and obstacles, such as the transmission and distribution market, the requirement for new legitimate agreements on the purchase and sale of power, and the presence of a generation monopolisation, as well as significant capital expenditures, which are unavoidable. In the Kingdom, the benefits of implementing a smart grid outweigh the potential difficulties. © 2023 ieee.

关键词： Energy Management Renewable Energy Smart Grid Technological Benefits Vision 2030

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