Proceedings of the 2018 International Conference on Digital Health最新文献

Engaging Pictograms! A Methodology for Graphic Design in Enhancing Player Engagement: As Applied to the Design of a Serious Game for Nepalese Women with Low Literacy 迷人的象形图!提高玩家粘性的平面设计方法:应用于尼泊尔低文化水平女性的严肃游戏设计

Proceedings of the 2018 International Conference on Digital Health Pub Date : 2018-04-23 DOI: 10.1145/3194658.3194673

Delphine Soriano, A. Arjyal, S. Baral, A. Boscor, Sonja Mueller, G. Hearn, N. Saville, M. Fordham, Virgine Le Masson, P. Kostkova

引用次数: 4

When Less is Better: A Summarization Technique that Enhances Clinical Effectiveness of Data 当越少越好:一种提高临床数据有效性的汇总技术

Proceedings of the 2018 International Conference on Digital Health Pub Date : 2018-04-23 DOI: 10.1145/3194658.3194674

P. Durga, Amrita Vishwa Vidyapeetham, Rahul Krishnan Pathinarupothi, E. Rangan, P. Ishwar

{"title":"When Less is Better: A Summarization Technique that Enhances Clinical Effectiveness of Data","authors":"P. Durga, Amrita Vishwa Vidyapeetham, Rahul Krishnan Pathinarupothi, E. Rangan, P. Ishwar","doi":"10.1145/3194658.3194674","DOIUrl":"https://doi.org/10.1145/3194658.3194674","url":null,"abstract":"The increasing number of wearable sensors for monitoring of various vital parameters such as blood pressure (BP), blood glucose, or heart rate (HR), has opened up an unprecedented opportunity for personalized real-time monitoring and prediction of critical health conditions of patients. This, however, also poses the dual challenges of identifying clinically relevant information from vast volumes of sensor time-series data and of storing and communicating it to health-care providers especially in the context of rural areas of developing regions where communication bandwidth may be limited. One approach to address these challenges is data summarization, but the danger of losing clinically useful information makes it less appealing to medical practitioners. To overcome this, we develop a data summarization technique called RASPRO (Rapid Active Summarization for effective PROgnosis), which transforms raw sensor time-series data into a series of low bandwidth, medically interpretable symbols, called \"motifs\", which measure criticality and preserve clinical effectiveness benefits for patients. We evaluate the predictive power and bandwidth requirements of RASPRO on more than 16,000 minutes of patient monitoring data from a widely used open source challenge dataset. We find that RASPRO motifs have much higher clinical efficacy and efficiency (20-90% improvement in F1 score over bandwidths ranging from 0.2-0.75 bits/unit-time) in predicting an acute hypotensive episode (AHE) compared to Symbolic Aggregate approXimation (SAX) which is a state-of-the-art data reduction and symbolic representation method. Furthermore, the RASPRO motifs typically perform as well or much better than the original raw data time-series, but with up to 15-fold reduction in transmission/storage bandwidth thereby suggesting that less is better.","PeriodicalId":216658,"journal":{"name":"Proceedings of the 2018 International Conference on Digital Health","volume":"23 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-04-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128962725","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: 4

Impact of Cyberchondriasis on Polycystic Ovarian Syndrome Patients Searching Health Information Online 网络疑病症对多囊卵巢综合征患者在线搜索健康信息的影响

Proceedings of the 2018 International Conference on Digital Health Pub Date : 2018-04-23 DOI: 10.1145/3194658.3194685

M. Soomro, A. Akhlaq

{"title":"Impact of Cyberchondriasis on Polycystic Ovarian Syndrome Patients Searching Health Information Online","authors":"M. Soomro, A. Akhlaq","doi":"10.1145/3194658.3194685","DOIUrl":"https://doi.org/10.1145/3194658.3194685","url":null,"abstract":"Cyberchondriasis is the name given to the health anxiety of patients catalyzed by reading literary material available on the internet. This research finds the impact of cyberchondriasis on polycystic ovarian syndrome (PCOS) patients searching health information online. This study was carried out using a survey with a sample size of 100 PCOS patients in Karachi, Pakistan. Participants were selected from an academic institute and a private hospital. We used the cyberchondriasis scale that included five different factors namely; \"compulsion,\" \"distress,\" \"excessiveness,\" \"reassurance\" and \"mistrust\" to measure its effect searching health information online by PCOS patients. These five factors of cyberchondriasis were taken as independent variables whereas \"searching health information online\" was taken as dependent variable. Exploratory factor analysis and binary logistic regression were applied on the data collected. Factor analysis reduced the cyberchondriasis scale into three factors, from which we retained two, \"compulsion\" and \"mistrust.\" Binary logistic regression concluded that \"compulsion\" increased the odds of searching health information online by PCOS patients.","PeriodicalId":216658,"journal":{"name":"Proceedings of the 2018 International Conference on Digital Health","volume":"4 5","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-04-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114018697","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

Specification, Use and Impact of the Persuasive Serious Game S'TIM in a Rehabilitation Process for Patients with Dysexecutive Syndrome 劝导式严肃游戏S'TIM在执行障碍患者康复过程中的规范、使用及影响

Proceedings of the 2018 International Conference on Digital Health Pub Date : 2018-04-23 DOI: 10.1145/3194658.3194687

J. Golliot, M. Timsit, Cathy Herrera, Elodie Fontugne, A. Abellard, M. Durampart

引用次数: 1

Socially Shared Health Information 社会共享的健康信息

Proceedings of the 2018 International Conference on Digital Health Pub Date : 2018-04-23 DOI: 10.1145/3194658.3194688

Kjeld Hansen

引用次数: 0

A Multi Agent Approach to Facilitate the Identification of Interleaved Activities 促进交叉活动识别的多智能体方法

Proceedings of the 2018 International Conference on Digital Health Pub Date : 2018-04-23 DOI: 10.1145/3194658.3194684

Claire Orr, C. Nugent, Haiying Wang, Huiru Zheng

{"title":"A Multi Agent Approach to Facilitate the Identification of Interleaved Activities","authors":"Claire Orr, C. Nugent, Haiying Wang, Huiru Zheng","doi":"10.1145/3194658.3194684","DOIUrl":"https://doi.org/10.1145/3194658.3194684","url":null,"abstract":"This paper presents a Multi-agent approach to identifying interleaved activities in a smart environment. The use of binary contact sensors was explored to identify Activities of Daily Living with assistance from a system made up of agents. Activities were identified when an activity trigger event was detected. Upon detection, a time window would activate around the trigger event, prompting the activity agents to identify which of their events were present within the set time window, thus enabling them to calculate a percentage of likeliness that the activity was their own. As a result, the highest percentage of activity matches would be displayed as having occurred. To evaluate this approach, 36 interleaved activities were processed and compared with a single agent system in addition to 28 non-interleaved activities. As a benchmark, the results were compared to that of another study. Results presented a precision, recall and F-measure of 0.69, 0.81 and 0.74. This paper concluded that the Multi Agent System (MAS) is a promising approach for identifying interleaved activities when compared to methods that fail when presented with data that is not in a set order. However, several limitations are present which need to be overcome to make the results more accurate when compared to other approaches.","PeriodicalId":216658,"journal":{"name":"Proceedings of the 2018 International Conference on Digital Health","volume":"108 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-04-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125200107","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

Learning about Hygiene and Antibiotic Resistance through Mobile Games: Evaluation of Learning Effectiveness 通过手机游戏学习卫生和抗生素耐药性:学习效果的评估

Proceedings of the 2018 International Conference on Digital Health Pub Date : 2018-04-23 DOI: 10.1145/3194658.3194682

A. Molnar, P. Kostkova

引用次数: 16

A Rule-based Approach to Determining Pregnancy Timeframe from Contextual Social Media Postings 基于规则的方法从上下文社交媒体帖子中确定怀孕时间表

Proceedings of the 2018 International Conference on Digital Health Pub Date : 2018-04-23 DOI: 10.1145/3194658.3194679

Masoud Rouhizadeh, A. Magge, A. Klein, A. Sarker, Graciela Gonzalez

{"title":"A Rule-based Approach to Determining Pregnancy Timeframe from Contextual Social Media Postings","authors":"Masoud Rouhizadeh, A. Magge, A. Klein, A. Sarker, Graciela Gonzalez","doi":"10.1145/3194658.3194679","DOIUrl":"https://doi.org/10.1145/3194658.3194679","url":null,"abstract":"Recent advances in social media mining have opened the door to observational studies that are limited only by the capacity of systems deployed to collect and analyze the data. The significance of this power becomes important when studying specific cohorts not typically found in clinical trials or other health-related research, such as pregnant women, who are generally excluded from participating in particular studies for safety concerns. A major challenge of pregnancy studies in social media is determining the pregnancy timeframe, given that the significance of some events (e.g., medication exposure) may depend on the trimester when it occurred. Existing systems that mine pregnancy data from social media have limited coverage and generalizability and have not addressed the problem of automatically determining the estimated beginning and end of pregnancy, and general-purpose temporal taggers deployed on this dataset generate ambiguous results. We present here a rule-based system to automatically identify pregnancy timeframe based on linguistic clues about the progress of pregnancy in users» tweets. In addition, we demonstrate that we could also use this system to find and filter bots and other that repost or quote such expressions.","PeriodicalId":216658,"journal":{"name":"Proceedings of the 2018 International Conference on Digital Health","volume":"81 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-04-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125002483","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: 10

ADAM Genomics Schema - Extension for Precision Medicine Research* 亚当基因组模式-扩展精确医学研究*

Proceedings of the 2018 International Conference on Digital Health Pub Date : 2018-04-23 DOI: 10.1145/3194658.3194669

Fodil Belghait, Beatriz S. Kanzki, A. April

引用次数: 1

Learning Image-based Representations for Heart Sound Classification 学习基于图像的心音分类表示

Proceedings of the 2018 International Conference on Digital Health Pub Date : 2018-04-23 DOI: 10.1145/3194658.3194671

Zhao Ren, N. Cummins, Vedhas Pandit, Jing Han, Kun Qian, Björn Schuller

{"title":"Learning Image-based Representations for Heart Sound Classification","authors":"Zhao Ren, N. Cummins, Vedhas Pandit, Jing Han, Kun Qian, Björn Schuller","doi":"10.1145/3194658.3194671","DOIUrl":"https://doi.org/10.1145/3194658.3194671","url":null,"abstract":"Machine learning based heart sound classification represents an efficient technology that can help reduce the burden of manual auscultation through the automatic detection of abnormal heart sounds. In this regard, we investigate the efficacy of using the pre-trained Convolutional Neural Networks (CNNs) from large-scale image data for the classification of Phonocardiogram (PCG) signals by learning deep PCG representations. First, the PCG files are segmented into chunks of equal length. Then, we extract a scalogram image from each chunk using a wavelet transformation. Next, the scalogram images are fed into either a pre-trained CNN, or the same network fine-tuned on heart sound data. Deep representations are then extracted from a fully connected layer of each network and classification is achieved by a static classifier. Alternatively, the scalogram images are fed into an end-to-end CNN formed by adapting a pre-trained network via transfer learning. Key results indicate that our deep PCG representations extracted from a fine-tuned CNN perform the strongest, 56.2% mean accuracy, on our heart sound classification task. When compared to a baseline accuracy of 46.9%, gained using conventional audio processing features and a support vector machine, this is a significant relative improvement of 19.8% (p∠.001 by one-tailed z-test).","PeriodicalId":216658,"journal":{"name":"Proceedings of the 2018 International Conference on Digital Health","volume":"32 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-04-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133910097","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: 48