2020 IEEE 2nd International Conference on Cyberspac (CYBER NIGERIA)最新文献

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A Review of Autism Diagnosis/Screening Expert System and Mobile Application 自闭症诊断/筛查专家系统及移动应用综述

2020 IEEE 2nd International Conference on Cyberspac (CYBER NIGERIA) Pub Date : 2021-02-23 DOI: 10.1109/CYBERNIGERIA51635.2021.9428833

Amina Sani Adamu, S. Abdullahi

{"title":"A Review of Autism Diagnosis/Screening Expert System and Mobile Application","authors":"Amina Sani Adamu, S. Abdullahi","doi":"10.1109/CYBERNIGERIA51635.2021.9428833","DOIUrl":"https://doi.org/10.1109/CYBERNIGERIA51635.2021.9428833","url":null,"abstract":"Autism is a neuro developmental disorder affecting individuals from Childhood mostly characterized by abnormal behavior, inadequate social interaction, lack of proper communication and repetitive behaviors. Before now, Autism was classified into 3 classes (Infertile Autism, Asperger's disorder and Pervasive Developmental Disorder not otherwise specified) as in the Diagnostic of Statistical Manual of Mental Disorders 4 (DSM 4) but in the year 2013 DSM 4 was upgraded to DSM 5 making all classes be in one class namely Autism Spectrum Disorder (ASD). In this paper, we did a literature review of some Autism Diagnosis Expert Systems and Mobile applications. From our research, we found out that most system/tools have adopted the DSM 5 criteria, most tools have either used the existing assessment tools or used Augmented reality for diagnosis. And also most of the expert system is mostly designed to diagnose children very few considered adult. None of the tools or expert system can give the level of Autism based on the DSM 5 diagnosis therefore there is need for tools to be developed for making such diagnosis.","PeriodicalId":208301,"journal":{"name":"2020 IEEE 2nd International Conference on Cyberspac (CYBER NIGERIA)","volume":"136 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-02-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127510787","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

I0T-Based Method to Enhance Testing Frequency Against COVID-19 基于i0的提高COVID-19检测频率的方法

2020 IEEE 2nd International Conference on Cyberspac (CYBER NIGERIA) Pub Date : 2021-02-23 DOI: 10.1109/CYBERNIGERIA51635.2021.9428816

Ajaero Emmanuel, C. Ezeh, Chinomso D. Okoronkwo

{"title":"I0T-Based Method to Enhance Testing Frequency Against COVID-19","authors":"Ajaero Emmanuel, C. Ezeh, Chinomso D. Okoronkwo","doi":"10.1109/CYBERNIGERIA51635.2021.9428816","DOIUrl":"https://doi.org/10.1109/CYBERNIGERIA51635.2021.9428816","url":null,"abstract":"For well over one year, the world has been ravaged by a global pandemic which has affected every sphere of human endeavor. In a bid to effectively fight against the novel coronavirus 2019 (COVID-19), the World Health Organization recommended to countries testing, isolation, and contact tracing. These recommendations are somewhat highly dependent on testing, of which isolation and contact tracing would not be feasible if proper tests are not conducted. Recent research outcomes indicate that the focus had been on volume of tests, accuracy of tests and velocity of tests with little or no attention on frequency of tests. In this paper, a solution is designed and developed to enhance the frequency of tests by aiding individuals to perform tests at regular intervals, whether they manifest symptoms of COVID-19 or not. A Bluetooth enabled Oximeter device is used to monitor an individual's blood Oxygen level to avert deteriorated respiratory symptoms due to late detection. The device is interfaced with a mobile application to measure and record Oxygen concentration levels. Results obtained from every test is promptly shared with relevant authorities for immediate action if need be. The data captured equally helps authorities keep track of areas that might be at the risk of an outbreak. Experimental tests were carried out to ascertain the effectiveness of the proposed solution. It proved to be very efficient and helpful as frequency of tests were scaled up and real-time information about people at the risk of COVID- 19 are promptly made available to the relevant authorities.","PeriodicalId":208301,"journal":{"name":"2020 IEEE 2nd International Conference on Cyberspac (CYBER NIGERIA)","volume":"6 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-02-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126051837","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

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