Proceedings of the International Conference on Health Informatics and Medical Application Technology最新文献_第10页

A Framework for AI-enabled Proactive mHealth with Automated Decision-making for a User's Context 一个支持人工智能的主动移动医疗框架，具有针对用户上下文的自动决策

Proceedings of the International Conference on Health Informatics and Medical Application Technology Pub Date : 2022-01-01 DOI: 10.5220/0010843200003123

Muhammad Sulaiman, Anne Håkansson, Randi Karlsen

{"title":"A Framework for AI-enabled Proactive mHealth with Automated Decision-making for a User's Context","authors":"Muhammad Sulaiman, Anne Håkansson, Randi Karlsen","doi":"10.5220/0010843200003123","DOIUrl":"https://doi.org/10.5220/0010843200003123","url":null,"abstract":"Health promotion is to enable people to take control over their health. Digital health with mHealth empowers users to establish proactive health, ubiquitously. The users shall have increased control over their health to improve their life by being proactive. To develop proactive health with the principles of prediction, prevention, and ubiquitous health, artificial intelligence with mHealth can play a pivotal role. There are various challenges for establishing proactive mHealth. For example, the system must be adaptive and provide timely interventions by considering the uniqueness of the user. The context of the user is also highly relevant for proactive mHealth. The context provides parameters as input along with information to formulate the current state of the user. Automated decision-making is significant with user-level decision-making as it enables decisions to promote well-being by technological means without human involvement. This paper presents a design framework of AI-enabled proactive mHealth that includes automated decision-making with predictive analytics, Just-in-time adaptive interventions and a P5 approach to mHealth. The significance of user-level decision-making for automated decision-making is presented. Furthermore, the paper provides a holistic view of the user's context with profile and characteristics. The paper also discusses the need for multiple parameters as inputs, and the identification of sources e.g., wearables, sensors, and other resources, with the challenges in the implementation of the framework. Finally, a proof-of-concept based on the framework provides design and implementation steps, architecture, goals, and feedback process. The framework shall provide the basis for the further development of AI-enabled proactive mHealth.","PeriodicalId":20676,"journal":{"name":"Proceedings of the International Conference on Health Informatics and Medical Application Technology","volume":"9 1","pages":"111-124"},"PeriodicalIF":0.0,"publicationDate":"2022-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"80358277","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

Classifying Breast Cytological Images using Deep Learning Architectures 使用深度学习架构对乳腺细胞学图像进行分类

Proceedings of the International Conference on Health Informatics and Medical Application Technology Pub Date : 2022-01-01 DOI: 10.5220/0010850000003123

Hasnae Zerouaoui, A. Idri

{"title":"Classifying Breast Cytological Images using Deep Learning Architectures","authors":"Hasnae Zerouaoui, A. Idri","doi":"10.5220/0010850000003123","DOIUrl":"https://doi.org/10.5220/0010850000003123","url":null,"abstract":"Breast cancer (BC) is a leading cause of death among women worldwide. It remains a critical challenge, causing over 10 million deaths globally in 2020. Medical images analysis is the most promising research area since it provides facilities for diagnosing several diseases such as breast cancer. The present paper carries out an empirical evaluation of recent deep Convolutional Neural Network (CNN) architectures for a binary classification of breast cytological images based fined tuned versions of seven deep learning techniques: VGG16, VGG19, DenseNet201, InceptionResNetV2, InceptionV3, ResNet50 and MobileNetV2. The empirical evaluations used: (1) four classification performance criteria (accuracy, recall, precision and F1score), (2) Scott Knott (SK) statistical test to select the best cluster of the outperforming architectures, and (3) borda count voting system to rank the best performing architectures. All the evaluations were over the FNAC dataset which contain 212 images. Results showed the potential of deep learning techniques to classify breast cancer in malignant and benign, therefor the findings of this study recommend the use of MobileNetV2 for the classification of the breast cancer cytological images since it gave the best results with an accuracy of","PeriodicalId":20676,"journal":{"name":"Proceedings of the International Conference on Health Informatics and Medical Application Technology","volume":"90 1","pages":"557-564"},"PeriodicalIF":0.0,"publicationDate":"2022-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"90714799","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: 3

Disability Advocacy using a Smart Virtual Community 使用智能虚拟社区的残疾倡导

Proceedings of the International Conference on Health Informatics and Medical Application Technology Pub Date : 2022-01-01 DOI: 10.5220/0010748600003123

Bushra Kundi, Dhayananth Dharmalingam, Rediet Tadesse, Alexandra Creighton, Rachel Gorman, P. Maret, Fabrice Muhlenbach, Alexis Buettgen, E. Dua, T. Mgwigwi, S. Dinca-Panaitescu, Christo El Morr

引用次数: 1

The Mindfulness Meditation Effect on States of Anxiety, Depression, Stress and Quality of Life 正念冥想对焦虑、抑郁、压力状态和生活质量的影响

Proceedings of the International Conference on Health Informatics and Medical Application Technology Pub Date : 2022-01-01 DOI: 10.5220/0010854900003123

Pedro Morais, Ana Pinheiro, M. Fonseca, Carla Quintão

引用次数: 1

Protecting Non-communicable Diseases Patients during Pandemics: Fundamental Rules for Engagement and the Case of Lebanon 在大流行病期间保护非传染性疾病患者:参与的基本规则和黎巴嫩案例

Proceedings of the International Conference on Health Informatics and Medical Application Technology Pub Date : 2022-01-01 DOI: 10.5220/0010742300003123

Luna El Bizri, N. Badr

{"title":"Protecting Non-communicable Diseases Patients during Pandemics: Fundamental Rules for Engagement and the Case of Lebanon","authors":"Luna El Bizri, N. Badr","doi":"10.5220/0010742300003123","DOIUrl":"https://doi.org/10.5220/0010742300003123","url":null,"abstract":"Non-communicable diseases (NCDs) are still the number one killer in the world. Their economic burden is heavy, notably in low-and-middle-income countries. Lebanon is a middle-income country in the Eastern Mediterranean region. The arising COVID-19 pandemic, political and economic instability, inadequate funding, and deteriorated infrastructure have rendered the country a fragile setting, significantly affecting persons with non-communicable diseases. Improving the patient journey during the COVID-19 pandemic and a comprehensive approach to NCD management is important during emergencies.This paper used a quantitate literature review to provide a theoretical framework touching NCDs patients in their journey during emergencies and crisis. It further adopted the Sendai Framework to draw the road for these patients in Lebanon. The ultimate goal is better preparedness and response in case of emergencies and disasters. It calls for a clear and coordinated action plan addressing the challenges posed by NCDs to a resilient country's response. This paper provides an overview of the situation of NCD patients in Lebanon during the COVID19 pandemic. It suggests strategies to address noncommunicable diseases guided by the Sendai Framework's four priorities, based on previous experiences.","PeriodicalId":20676,"journal":{"name":"Proceedings of the International Conference on Health Informatics and Medical Application Technology","volume":"74 1","pages":"306-315"},"PeriodicalIF":0.0,"publicationDate":"2022-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"86529103","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

Long COVID Diary: A User Centered Approach for the Design of a Mobile Application Supporting Long COVID Patients 长COVID日记:支持长COVID患者的移动应用程序设计以用户为中心的方法

Proceedings of the International Conference on Health Informatics and Medical Application Technology Pub Date : 2022-01-01 DOI: 10.5220/0010972300003123

A. Hausberger, B. Tappeiner, René Baranyi, T. Grechenig

{"title":"Long COVID Diary: A User Centered Approach for the Design of a Mobile Application Supporting Long COVID Patients","authors":"A. Hausberger, B. Tappeiner, René Baranyi, T. Grechenig","doi":"10.5220/0010972300003123","DOIUrl":"https://doi.org/10.5220/0010972300003123","url":null,"abstract":": A signiﬁcant part of patients who have recovered from COVID-19 has been experiencing COVID-like symptoms for weeks and months after the initial disease. These patients have been called “Long COVID patients”. Currently, guidelines are being published that inform about these symptoms and may deliver a basis for medical diagnoses. In this paper, the possibility of a Long COVID patient support app is being discussed. To gain insight into the needs and requirements of patients with Long COVID, a questionnaire was conducted with 193 participants from a self help-group in Austria. The results show that Long COVID has a profound nega-tive impact on the daily lives of people who are suffering from the disease. Also, the results show a demand for more support and indicate the role that a Long COVID symptom tracking app could play in this context. Concerning digital support, ten crucial features of a potential Long COVID support app were identiﬁed by analyzing the answers to the questionnaire. Apart from health and symptom tracking features, sharing of data with medical professionals, appointment management, and news features were considered important features to support patients suffering from Long COVID throughout their journey to get better.","PeriodicalId":20676,"journal":{"name":"Proceedings of the International Conference on Health Informatics and Medical Application Technology","volume":"47 1","pages":"769-776"},"PeriodicalIF":0.0,"publicationDate":"2022-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"91350117","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: 1

An Assistive Technology for Cognition to Support Meal Preparation: The Concept Map of a User-centred Design Process and Procedure 支持膳食准备的认知辅助技术:以用户为中心的设计过程和程序的概念图

Proceedings of the International Conference on Health Informatics and Medical Application Technology Pub Date : 2022-01-01 DOI: 10.5220/0010933900003123

S. Zarshenas, N. Bier, H. Pigot, S. Giroux, P. Semeniuk, M. Couture, C. Bottari

{"title":"An Assistive Technology for Cognition to Support Meal Preparation: The Concept Map of a User-centred Design Process and Procedure","authors":"S. Zarshenas, N. Bier, H. Pigot, S. Giroux, P. Semeniuk, M. Couture, C. Bottari","doi":"10.5220/0010933900003123","DOIUrl":"https://doi.org/10.5220/0010933900003123","url":null,"abstract":": In response to the long-lasting effects of cognitive impairments following acquired brain injury (ABI) on performing meal preparation safely and independently, our team has been working on developing a Cognitive Orthosis for coOKing (COOK) to meet these needs. In this paper, the concept mapping method was used to describe the processes and procedures of employing a user-centred design approach to develop this novel technology. For this purpose, a mixed methodology including qualitative and quantitative studies was conducted for needs analysis, prototype design, prototype evaluation, and technology validation via the examination of the usability and feasibility of COOK within real-life contexts. Our comprehensive studies have shown that COOK is a promising technology for meal preparation by individuals with severe ABI. Further study is warranted/in progress to develop a therapist’s interface to tailor the required type and level of assistance to a broader population with cognitive deficits of varying severity.","PeriodicalId":20676,"journal":{"name":"Proceedings of the International Conference on Health Informatics and Medical Application Technology","volume":"98 1","pages":"921-928"},"PeriodicalIF":0.0,"publicationDate":"2022-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"73204258","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

A Practical Wearable Sensor-based Human Activity Recognition Research Pipeline 基于实用可穿戴传感器的人体活动识别研究管道

Proceedings of the International Conference on Health Informatics and Medical Application Technology Pub Date : 2022-01-01 DOI: 10.5220/0010937000003123

Hui Liu, Yale Hartmann, Tanja Schultz

引用次数: 18

A Digital, Game-based Application to Support Treatment of Parkinson's Disease: A Design Thinking Approach 支持帕金森病治疗的基于游戏的数字化应用:设计思维方法

Proceedings of the International Conference on Health Informatics and Medical Application Technology Pub Date : 2022-01-01 DOI: 10.5220/0010846100003123

A. Mainz, S. Meister

引用次数: 1

Privacy Notifications for Transparency in Fitness Apps 隐私通知透明度在健身应用程序

Proceedings of the International Conference on Health Informatics and Medical Application Technology Pub Date : 2022-01-01 DOI: 10.5220/0010912600003123

Mirco Baseniak, Tom Lorenz, Ina Schiering

引用次数: 0