Usage of Mobile Technologies for Diseases Inference: A Literature Review

Proceedings of the 9th International Conference on Software Development and Technologies for Enhancing Accessibility and Fighting Info-exclusion Pub Date : 2020-12-02 DOI:10.1145/3439231.3440618

Salik Ram Khanal, Arsénio Reis, Dennis Paulino, Damodar Bhandari, H. Paredes, J. Barroso

{"title":"Usage of Mobile Technologies for Diseases Inference: A Literature Review","authors":"Salik Ram Khanal, Arsénio Reis, Dennis Paulino, Damodar Bhandari, H. Paredes, J. Barroso","doi":"10.1145/3439231.3440618","DOIUrl":null,"url":null,"abstract":"The fields of artificial intelligence, knowledge inference, data science, etc. have been deeply studied over time and many theoretical approaches have been developed, including its application to health and diseases inference. The creation of prototype and consumer systems has been restrained by the technology limitations on data acquisition and processing, which has been greatly overcome with the new sensors and mobile devices technologies. So, in this work we go through a literature review of the current state of the art on record to the usage of mobile technologies for diseases inference. The review methodology is based on the Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) framework. The criteria were based on journal articles, prior to 2008, and using the defined keywords. A total of 14 selected articles were analyzed. A general conclusion was attained regarding the current state of maturity of the field, leading to fully functional consumer and professional market products.","PeriodicalId":210400,"journal":{"name":"Proceedings of the 9th International Conference on Software Development and Technologies for Enhancing Accessibility and Fighting Info-exclusion","volume":null,"pages":null},"PeriodicalIF":0.0000,"publicationDate":"2020-12-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Proceedings of the 9th International Conference on Software Development and Technologies for Enhancing Accessibility and Fighting Info-exclusion","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1145/3439231.3440618","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}

引用次数: 0

Abstract

The fields of artificial intelligence, knowledge inference, data science, etc. have been deeply studied over time and many theoretical approaches have been developed, including its application to health and diseases inference. The creation of prototype and consumer systems has been restrained by the technology limitations on data acquisition and processing, which has been greatly overcome with the new sensors and mobile devices technologies. So, in this work we go through a literature review of the current state of the art on record to the usage of mobile technologies for diseases inference. The review methodology is based on the Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) framework. The criteria were based on journal articles, prior to 2008, and using the defined keywords. A total of 14 selected articles were analyzed. A general conclusion was attained regarding the current state of maturity of the field, leading to fully functional consumer and professional market products.

查看原文

微信好友朋友圈 QQ好友复制链接

本刊更多论文

移动技术在疾病推断中的应用:文献综述

随着时间的推移，人工智能、知识推理、数据科学等领域得到了深入的研究，并发展了许多理论方法，包括将其应用于健康和疾病推理。原型和消费者系统的创建一直受到数据采集和处理的技术限制，这已经被新的传感器和移动设备技术大大克服。因此，在这项工作中，我们通过文献综述，记录了移动技术用于疾病推断的当前状态。评估方法基于系统评估和荟萃分析的首选报告项目(PRISMA)框架。标准是基于2008年之前的期刊文章，并使用定义的关键词。共选取14篇文章进行分析。关于该领域目前的成熟状态，得出了一个总的结论，从而产生了功能齐全的消费者和专业市场产品。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

求助全文

约1分钟内获得全文去求助

来源期刊

Proceedings of the 9th International Conference on Software Development and Technologies for Enhancing Accessibility and Fighting Info-exclusion

自引率

0.00%

发文量