2017 IEEE International Conference on Healthcare Informatics (ICHI)最新文献_第2页

On Mapping Textual Queries to a Common Data Model 关于将文本查询映射到公共数据模型

2017 IEEE International Conference on Healthcare Informatics (ICHI) Pub Date : 2017-08-01 DOI: 10.1109/ICHI.2017.63

Sijia Liu, Yanshan Wang, Na Hong, F. Shen, Stephen T Wu, W. Hersh, Hongfang Liu

引用次数: 6

An Integrated Patient Genomic Information Management and Analysis System for Healthcare Professionals 医疗保健专业人员的综合患者基因组信息管理和分析系统

2017 IEEE International Conference on Healthcare Informatics (ICHI) Pub Date : 2017-08-01 DOI: 10.1109/ICHI.2017.8

Amal Alzubi, Leming Zhou

{"title":"An Integrated Patient Genomic Information Management and Analysis System for Healthcare Professionals","authors":"Amal Alzubi, Leming Zhou","doi":"10.1109/ICHI.2017.8","DOIUrl":"https://doi.org/10.1109/ICHI.2017.8","url":null,"abstract":"In recent years, personal genomic data can be quickly generated in an affordable price. Abundant research results on genetic diseases have also been published in the past two decade. Therefore, it is desired to utilize updated genetic disease research results into personal genomic data analysis and apply them into genomics-based personalized healthcare. However, this is a challenging task for current healthcare professionals because the desired clinically relevant information is hidden in highly complex genomics data sets and in various types of databases, which were typically created for genomics researchers in the past. In this project, an integrated patient genomic information analysis and management system is created for healthcare professionals, especially physicians, so that they can conveniently access the desired patient genetic information and current research results related to the genetic makeup, and utilize the information in personalized healthcare practice. The accuracy of the data integrated in the system and analysis results from the system were evaluated and a usability study was conducted to determine the usability of the system by physicians. These evaluations indicated that the results obtained in this system were the same as the ones obtained from a manual but more tedious approach, and physicians could easily finish all the designed tasks and obtain desired data using the system.","PeriodicalId":263611,"journal":{"name":"2017 IEEE International Conference on Healthcare Informatics (ICHI)","volume":"197 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133694631","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

Reference Website Use Patterns of Poison Control Center Specialists 参考网站毒物控制中心专家使用模式

2017 IEEE International Conference on Healthcare Informatics (ICHI) Pub Date : 2017-08-01 DOI: 10.1109/ICHI.2017.40

Jiayun Guo, Heather Bennett, B. Crouch, M. Cummins

引用次数: 0

An Adaptive Differential Privacy Algorithm for Range Queries over Healthcare Data 医疗保健数据范围查询的自适应差分隐私算法

2017 IEEE International Conference on Healthcare Informatics (ICHI) Pub Date : 2017-08-01 DOI: 10.1109/ICHI.2017.49

Asma Alnemari, C. Romanowski, R. Raj

引用次数: 14

Visual FHIR: An Interactive Browser to Navigate HL7 FHIR Specification 可视化FHIR:一个浏览HL7 FHIR规范的交互式浏览器

2017 IEEE International Conference on Healthcare Informatics (ICHI) Pub Date : 2017-08-01 DOI: 10.1109/ICHI.2017.54

Na Hong, Kui Wang, Lixia Yao, Guoqian Jiang

引用次数: 8

Diagnosis on Mild Cognitive Impairment Patients for Alzheimer Disease with Missing Data 阿尔茨海默病轻度认知障碍患者资料缺失的诊断

2017 IEEE International Conference on Healthcare Informatics (ICHI) Pub Date : 2017-08-01 DOI: 10.1109/ICHI.2017.13

F. Gao, Jing Li, Teresa Wu, Kewei Chen, F. Lure, D. Weidman

{"title":"Diagnosis on Mild Cognitive Impairment Patients for Alzheimer Disease with Missing Data","authors":"F. Gao, Jing Li, Teresa Wu, Kewei Chen, F. Lure, D. Weidman","doi":"10.1109/ICHI.2017.13","DOIUrl":"https://doi.org/10.1109/ICHI.2017.13","url":null,"abstract":"Mild cognitive impairment (MCI) is constructed as an intermediate stage between normal aging and Alzheimer disease (AD). Various clinical criteria have been developed to quantify the risk of MCI patients converting to AD. One risk assessment criterion in assisting clinical decision is based on the amount of cerebral amyloid measured with florbetapir-fluorine-18 positron emission tomography (18F-AV45-PET) imaging. However, PET imaging is not usually readily available. As a result, the advantages of these important imaging based biomarkers may not be fully utilized clinically. To tackle the problem where patients have these biomarkers missing, we propose to develop ensemble regression tree to estimate the biomarkers based on clinical and demographic features (Age, APOE status, cognitive test, etc.) and other imaging biomarkers such as MRI. The makeup dataset filled with these estimates are then used to develop a classification model to assess the risk of MCI patients converting to AD. Using dataset of 146 MCI patients from Alzheimer's disease neuroimaging initiative (ANDI), we conduct 16 sets of experiments with the missing ratios changing from 0.05 to 0.80 to test the performance of our proposed approach. The advantages of our model show well when the missing ratio ranges 0.2 to 0.6 with average 7.1% higher accuracy and 7.4% higher sensitivity comparing to the model without using the estimated fill-ins. This advantage diminishes as the missing ratio increases to 80% as expected.","PeriodicalId":263611,"journal":{"name":"2017 IEEE International Conference on Healthcare Informatics (ICHI)","volume":"17 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130802320","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

Exploring Timelines of Confirmed Suicide Incidents Through Social Media 通过社交媒体探索确认自杀事件的时间线

2017 IEEE International Conference on Healthcare Informatics (ICHI) Pub Date : 2017-08-01 DOI: 10.1109/ICHI.2017.47

Xiaolei Huang, Linzi Xing, Jed R. Brubaker, Michael J. Paul

引用次数: 23

Wearable Privacy: Skeletons in The Data Closet 可穿戴隐私:数据柜里的骷髅

2017 IEEE International Conference on Healthcare Informatics (ICHI) Pub Date : 2017-08-01 DOI: 10.1109/ICHI.2017.29

Byron M. Lowens, V. Motti, Kelly E. Caine

{"title":"Wearable Privacy: Skeletons in The Data Closet","authors":"Byron M. Lowens, V. Motti, Kelly E. Caine","doi":"10.1109/ICHI.2017.29","DOIUrl":"https://doi.org/10.1109/ICHI.2017.29","url":null,"abstract":"Equipped with sensors that are capable of collecting physiological and environmental data continuously, wearable technologies have the potential to become a valuable component of personalized healthcare and health management. However, in addition to the potential benefits of wearable devices, the widespread and continuous use of wearables also poses many privacy challenges. In some instances, users may not be aware of the risks associated with wearable devices, while in other cases, users may be aware of the privacy-related risks, but may beunable to negotiate complicated privacy settings to meet their needs and preferences. This lack of awareness could have an adverse impact on users in the future, even becoming a \"skeleton in the closet.\" In this work, we conducted 32 semi-structured interviews to understand how users perceive privacy in wearable computing. Results suggest that user concerns toward wearable privacy have different levels of variety ranging from no concern to highly concerned. In addition, while user concerns and benefits are similar among participants in our study, these variablesshould be investigated more extensively for the development of privacy enhanced wearable technologies.","PeriodicalId":263611,"journal":{"name":"2017 IEEE International Conference on Healthcare Informatics (ICHI)","volume":"15 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133141317","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: 25

Continuous Assessment of Children’s Emotional States Using Acoustic Analysis 利用声学分析对儿童情绪状态进行持续评估

2017 IEEE International Conference on Healthcare Informatics (ICHI) Pub Date : 2017-08-01 DOI: 10.1109/ICHI.2017.53

Yuan Gong, C. Poellabauer

引用次数: 7

Computable Adherence 可计算的依从性

2017 IEEE International Conference on Healthcare Informatics (ICHI) Pub Date : 2017-08-01 DOI: 10.1109/ICHI.2017.96

Simon Diemert, J. Weber, Morgan Price

引用次数: 2