Proceedings of the Australasian Computer Science Week Multiconference最新文献_第9页

Design and Implementation of a Framework for a Health Information Survey System 健康信息调查系统框架的设计与实现

Proceedings of the Australasian Computer Science Week Multiconference Pub Date : 2019-01-29 DOI: 10.1145/3290688.3290737

Heidi Bjering, Daniel Stratti, J. A. Ginige

{"title":"Design and Implementation of a Framework for a Health Information Survey System","authors":"Heidi Bjering, Daniel Stratti, J. A. Ginige","doi":"10.1145/3290688.3290737","DOIUrl":"https://doi.org/10.1145/3290688.3290737","url":null,"abstract":"There are many health and wellbeing self-assessment tools, but using paper-based versions of these tools limits the wider applicability of them in the current digital world. Hence many self-assessment tools are implemented as web/mobile applications, allowing efficient mass data collection. The current implementation approaches of computerising health and wellbeing self-assessment tools exclude these tools being re-used in a different setting, such as in a different research project or by another healthcare practitioner; where the collected data needs to be independent of the original implementation. This paper presents a framework that facilitates the implementation of health and wellbeing self-assessment tools as templates, much like an MS PowerPoint or Word template, allowing new instances of the tool to be easily created and data to be independent of the original implementation. This framework provides both a research and a clinical component. The research component gives the ability to collect data, view graphs to enable some basic analysis and the possibility to download the data for further analysis. The clinical component enables the delivery of relevant information and resources to clients/patients depending on the outcomes of the questionnaires. This can be used strategically to tailor information and interventions for the particular stage or category a client is at, and thereby avoiding irrelevant information and information overload for the client.","PeriodicalId":297760,"journal":{"name":"Proceedings of the Australasian Computer Science Week Multiconference","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-01-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130300055","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

Towards a Blockchain based Fall Prediction Model for Aged Care 基于区块链的老年护理跌倒预测模型

Proceedings of the Australasian Computer Science Week Multiconference Pub Date : 2019-01-29 DOI: 10.1145/3290688.3290736

T. Rupasinghe, F. Burstein, C. Rudolph, Steven Strange

{"title":"Towards a Blockchain based Fall Prediction Model for Aged Care","authors":"T. Rupasinghe, F. Burstein, C. Rudolph, Steven Strange","doi":"10.1145/3290688.3290736","DOIUrl":"https://doi.org/10.1145/3290688.3290736","url":null,"abstract":"Falls are one of the major health concerns for the elderly people. These falls often result in severe injuries which lead into huge medical expenses. Over the recent years, many ICT based fall detection and fall prevention solutions emerged to address the risk factors associated with falls. However, despite of these research studies, predicting the likelihood of falls still remains as a huge challenge in both medical and IT research domains. Data related to these risk factors being scattered among different healthcare providers can be attributed as a main reason for this challenge. This is further amplified by healthcare providers being reluctant to disseminate the data beyond their entities due to the security and privacy concerns. However, in recent years, blockchain has been proven as a promising technology to address the security and privacy challenges in healthcare data exchange as it provides a shared, immutable, and transparent audit trail for accessing data. Therefore, in this paper, we are going to propose a conceptual blockchain based fall prediction model leveraging smart contracts and FHIR (Fast Healthcare Interoperability Resources) standard to identify the elderly people who are at a higher risk of falling.","PeriodicalId":297760,"journal":{"name":"Proceedings of the Australasian Computer Science Week Multiconference","volume":"99 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-01-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127152436","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: 26

Immersive Intelligence Genomic Data Visualisation 沉浸式智能基因组数据可视化

Proceedings of the Australasian Computer Science Week Multiconference Pub Date : 2019-01-29 DOI: 10.1145/3290688.3290722

Chng Wei Lau, Quang Vinh Nguyen, Zhonglin Qu, S. Simoff, D. Catchpoole

引用次数: 6

Comparing Pixel N-grams and Bag of Visual Word Features for the Classification of Diabetic Retinopathy 比较像素N-grams与Bag视觉词特征在糖尿病视网膜病变分类中的应用

Proceedings of the Australasian Computer Science Week Multiconference Pub Date : 2019-01-29 DOI: 10.1145/3290688.3290726

Pradnya Kulkarni, A. Stranieri, H. Jelinek

{"title":"Comparing Pixel N-grams and Bag of Visual Word Features for the Classification of Diabetic Retinopathy","authors":"Pradnya Kulkarni, A. Stranieri, H. Jelinek","doi":"10.1145/3290688.3290726","DOIUrl":"https://doi.org/10.1145/3290688.3290726","url":null,"abstract":"The extraction of Bag of Visual Words (BoVW) features from retinal images for automated classification has been shown to be effective but computationally expensive. Histogram and co-variance matrix features do not generally result in models that have the same predictive accuracy as BoVW and are still computationally expensive. The discovery of features that result in accurate image classification on computationally constrained devices such as smartphones would enable new and promising applications for image classification. For example, smartphone retinal cameras can conceivably make diabetic retinopathy widely available and potentially reduce undiagnosed retinopathy if it could be achieved with computationally simple classification algorithms. A novel image feature extraction technique inspired by N-grams in text mining, called 'Pixel N-grams' is described that can serve this purpose. Results on mammogram and texture classification have shown high accuracy despite the reduced computational complexity. However retinal scan classification results using Pixel N-grams lag behind BoVW approaches. An explanation for the relative poor performance of Pixel N-grams with diabetic retinopathy that draws on concepts associated with the No Free Lunch theorem are presented.","PeriodicalId":297760,"journal":{"name":"Proceedings of the Australasian Computer Science Week Multiconference","volume":"25 24","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-01-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"120867622","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

Understanding Diabetes through Watch Based Interactive Play 通过基于手表的互动游戏了解糖尿病

Proceedings of the Australasian Computer Science Week Multiconference Pub Date : 2019-01-29 DOI: 10.1145/3290688.3290745

Dale Patterson

{"title":"Understanding Diabetes through Watch Based Interactive Play","authors":"Dale Patterson","doi":"10.1145/3290688.3290745","DOIUrl":"https://doi.org/10.1145/3290688.3290745","url":null,"abstract":"Play based systems, such as computer games, have proven effective as tools to enhance our human understanding, skills and capabilities in a number of real world activities. The active pursuit of gamification and applied games for tasks from education to design, training and simulation continues to grow. The field of healthcare is one key area offering significant potential. Raising the question of whether play based assistive tools, as a means to create greater understanding of serious medical conditions, and the health and lifestyle impacts they cause, can be effective. This research involved both the review of play based systems that are dedicated to assisting with diabetes, as well as the development of a new watch based mobile App designed specifically to assist players (both diabetic as well as broader community) in understanding the complex nature of managing diabetes. Diabetes is listed as the sixth leading cause of death worldwide and its improved management is listed as a priority by the world health organization. The results from the randomized control trial of the new watch based tool showed that participants who used the play based watch App, demonstrated a statistically significant improvement of their understanding of the condition and its management. This highlights the potential of play based digital tools to bring greater understanding of complex medical conditions to patients, care givers and the broader population.","PeriodicalId":297760,"journal":{"name":"Proceedings of the Australasian Computer Science Week Multiconference","volume":"52 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-01-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116216108","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 Interactive Visualization Tool for Sensor-based Physical Activity Data Analysis 基于传感器的体育活动数据分析的交互式可视化工具

Proceedings of the Australasian Computer Science Week Multiconference Pub Date : 2019-01-29 DOI: 10.1145/3290688.3290734

Chuxuan Tong, Jinglan Zhang, A. Chowdhury, S. Trost

{"title":"An Interactive Visualization Tool for Sensor-based Physical Activity Data Analysis","authors":"Chuxuan Tong, Jinglan Zhang, A. Chowdhury, S. Trost","doi":"10.1145/3290688.3290734","DOIUrl":"https://doi.org/10.1145/3290688.3290734","url":null,"abstract":"The paper proposes to apply an interactive visual tool to support analysis of human daily physical activities and sedentary behaviours. Current research of physical activity relies on data-driven methods such as deep learning while few of them adopts human-centric approaches. This research aims to highlight the user- centred exploration of physical activity data, and inspire comprehensive data interpretation by visualization. The design of the interactive visualization tool is derived from the parallel coordinates technique, which is capable of mapping high-dimensional datasets, and allows users to have an intuitive and global view of all the features. Additional visual extension such as brushing axes and selecting individual or multiple groups improves further detailed exploration of the dataset. A focus group evaluation is employed to assess the visualization tool qualitatively. According to observation, parallel coordinates plots effectively aid to distinguish physical activities and sedentary behaviours from patterns observation. Moreover, interactions with the visualization tool also enhance the user-centred visualization. Users are able to look into high-dimensional datasets, inspect data quality, and select effective features subsets by themselves with this interactive visualization tool.","PeriodicalId":297760,"journal":{"name":"Proceedings of the Australasian Computer Science Week Multiconference","volume":"275 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-01-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122935650","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: 9

Systems Design Framework for a Practice-Based Evidence Approached Clinical Decision Support Systems 基于实践证据的临床决策支持系统的系统设计框架

Proceedings of the Australasian Computer Science Week Multiconference Pub Date : 2019-01-29 DOI: 10.1145/3290688.3290742

Hamzah Osop, T. Sahama

{"title":"Systems Design Framework for a Practice-Based Evidence Approached Clinical Decision Support Systems","authors":"Hamzah Osop, T. Sahama","doi":"10.1145/3290688.3290742","DOIUrl":"https://doi.org/10.1145/3290688.3290742","url":null,"abstract":"The widespread adoption of Information and Communication Technologies (ICT) in the healthcare industries have given rise to the increase in the generation of valuable Electronic Health Records (EHRs). This brings potential in the secondary uses of EHRs for research, analysis and decision making support. Clinical Decision Support System (CDSS) has become an integral tool in assisting healthcare professionals, make well-informed decisions. However, CDSSs are plagued with issues of effectiveness in delivering recommendations and support. With ongoing concerns regarding the limitations of evidence generated from systematic studies and effectiveness of CDSS to offer recommendations, a Practice-based evidence (PBE) approach to decision making is proposed. In this study, we present a system design framework that models and implements a PBE-approached CDSS. Such a CDSS design leverages on practical evidence in the form of EHRs where health records of patients are inferred and potentially used to support decision making for other similar patient types. Our design approach includes identifying suitable data sources and integration tool that packages various sources of health records as evidence for decision support systems. We present a prototype of our PBE-approached CDSS that provides patient-centric statistical information and prediction modelling.","PeriodicalId":297760,"journal":{"name":"Proceedings of the Australasian Computer Science Week Multiconference","volume":"58 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-01-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126376393","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 Model-Driven Approach for Visualisation Processes 可视化过程的模型驱动方法

Proceedings of the Australasian Computer Science Week Multiconference Pub Date : 2019-01-29 DOI: 10.1145/3290688.3290698

R. Morgan, G. Grossmann, M. Schrefl, M. Stumptner

引用次数: 4

Last Island: Exploring Transitions to Sustainable Futures through Play 《最后的岛屿:通过游戏探索向可持续未来的转变

Proceedings of the Australasian Computer Science Week Multiconference Pub Date : 2019-01-29 DOI: 10.1145/3290688.3290746

F. Taghikhah, W. Raffe, G. Mitri, S. D. Toit, A. Voinov, J. Garcia

引用次数: 1

Decision Model for the Security and Utility Risk Evaluation (SURE) Framework 安全与效用风险评估(SURE)框架的决策模型

Proceedings of the Australasian Computer Science Week Multiconference Pub Date : 2019-01-29 DOI: 10.1145/3290688.3290694

Angela Billard

引用次数: 0