Int. J. Online Biomed. Eng.最新文献_第9页

The Impact of Ontology on the Prediction of Cardiovascular Disease Compared to Machine Learning Algorithms 本体与机器学习算法对心血管疾病预测的影响

Int. J. Online Biomed. Eng. Pub Date : 2022-08-31 DOI: 10.3991/ijoe.v18i11.32647

Hakim El Massari, Noreddine Gherabi, Sajida Mhammedi, Hamza Ghandi, M. Bahaj, Muhammad Raza Naqvi

引用次数: 1

An Efficient Tasks Scheduling Algorithm for Drone Operations in the Indoor Environment 室内环境下无人机作业的高效任务调度算法

Int. J. Online Biomed. Eng. Pub Date : 2022-08-31 DOI: 10.3991/ijoe.v18i11.29977

Astrit Hulaj, E. Bytyçi, Veronë Kadriu

引用次数: 1

Comparative Study of Multiple CNN Models for Classification of 23 Skin Diseases 多种CNN模型在23种皮肤病分类中的比较研究

Int. J. Online Biomed. Eng. Pub Date : 2022-08-31 DOI: 10.3991/ijoe.v18i11.32517

Amina Aboulmira, H. Hrimech, M. Lachgar

引用次数: 2

Development of a New Chaotic Maps Cryptosystem with Quadratic Residue Problem 一种新的具有二次剩余问题的混沌映射密码系统的发展

Int. J. Online Biomed. Eng. Pub Date : 2022-08-31 DOI: 10.3991/ijoe.v18i11.29563

N. Tahat, R. Shaqbou'a, M. Abu-Dalu, Ala Qadomi

引用次数: 0

ConVnet BiLSTM for ASD Classification on EEG Brain Signal 基于脑电信号的卷积BiLSTM ASD分类

Int. J. Online Biomed. Eng. Pub Date : 2022-08-31 DOI: 10.3991/ijoe.v18i11.30415

Nur Alisa Ali, S. Radzi, Abd Shukur Jaafar, N. Nor

引用次数: 1

Implementation of an Intelligent System for the Diagnosis and Treatment of Venereal Diseases 一种智能性病诊断与治疗系统的实现

Int. J. Online Biomed. Eng. Pub Date : 2022-08-31 DOI: 10.3991/ijoe.v18i11.32329

Roberto Muñoz Villacorta, Carlos Oscco Agüero, L. Andrade-Arenas

{"title":"Implementation of an Intelligent System for the Diagnosis and Treatment of Venereal Diseases","authors":"Roberto Muñoz Villacorta, Carlos Oscco Agüero, L. Andrade-Arenas","doi":"10.3991/ijoe.v18i11.32329","DOIUrl":"https://doi.org/10.3991/ijoe.v18i11.32329","url":null,"abstract":"Over time, human beings are attacked by different venereal diseases, which cause serious consequences. Not all people know exactly if they suffer from a venereal disease, so they look for possible treatments based on their symptoms in different media, not all of them are reliable. The objective of the research is to implement an expert system, which through a web page, provides a correct diagnosis based on the symptoms registered by the user, as well as a possible treatment for the identified disease. This was achieved based on the knowledge tree that was developed in Python so that when a user completes the symptom record, the expert system continues with the process. All this procedure was carried out using the Common kads methodology. which is related based on knowledge topics. The result was the development of the application, which was validated by different specialists in expert systems, giving a total average of 4 as a response, which was qualified as a high-quality level, on the other hand, the system brings an improvement in the acquisition of information through the web, providing diagnoses and possible treatments, in addition, it provides a facility to people who do not wish to attend a health establishment, as well as to specialists in the health sector, which allows them to provide diagnoses and treatments.","PeriodicalId":247144,"journal":{"name":"Int. J. Online Biomed. Eng.","volume":"56 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-08-31","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130401661","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

Leveraging Google Search Data and Artificial Intelligence Methods for Provincial-level Influenza Forecasting: A South African Case Study 利用谷歌搜索数据和人工智能方法进行省级流感预测:南非案例研究

Int. J. Online Biomed. Eng. Pub Date : 2022-08-31 DOI: 10.3991/ijoe.v18i11.29899

Seun O. Olukanmi, F. Nelwamondo, N. Nwulu

{"title":"Leveraging Google Search Data and Artificial Intelligence Methods for Provincial-level Influenza Forecasting: A South African Case Study","authors":"Seun O. Olukanmi, F. Nelwamondo, N. Nwulu","doi":"10.3991/ijoe.v18i11.29899","DOIUrl":"https://doi.org/10.3991/ijoe.v18i11.29899","url":null,"abstract":"This paper investigates the usefulness of Google search patterns with Artificial Intelligence (AI) techniques for timely influenza-like illness (ILI) forecasting for each of the nine South African provinces. Traditional surveillance methods are limited by delays in reporting. Existing digital disease surveillance studies that employ alternative online data have scarcely explored sub-Saharan African countries. In South Africa, Google search data has only been recently studied for ILI surveillance at the national level. Meanwhile, the differences in socio-economic and technological conditions across provinces call for a finer spatial investigation. We perform correlation analysis between Google trends (GT) data for 21 ILI-related terms and real-life ILI surveillance data for each province. Next, we develop models to assess the predictive performance of these GT data for forecasting ILI rates, using time series, machine learning, and deep learning methods. We observe sufficient correlation for only two of the nine provinces: Gauteng and Western Cape. Thus, GT data could only be used to forecast ILI in these two provinces. Interestingly, these two provinces are regarded as the most economically developed. In the other seven provinces, LSTM, a deep learning technique, gives more accurate predictions than a baseline autoregressive model when only past ILI data are used for forecasting future ILI trends. The results reveal that, for provinces for which GT data is sufficiently available, it is not only free and fast, but is an effective predictor on its own as well as when added to past ILI data for forecasting future ILI infection rates. The correlation analysis suggests an association between provincial socio-economic development and the use of digital platforms for disease surveillance. Overall, the study established the need for finer scale ILI forecasting which will inform targeted planning for disease surveillance and interventions.","PeriodicalId":247144,"journal":{"name":"Int. J. Online Biomed. Eng.","volume":"177 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-08-31","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123211103","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

Simulation Optimization for Location and Allocation of Emergency Medical Service 应急医疗服务定位与配置的仿真优化

Int. J. Online Biomed. Eng. Pub Date : 2022-08-31 DOI: 10.3991/ijoe.v18i11.31055

M. I. H. Umam, B. Santosa, N. Siswanto

引用次数: 0

Digital Storytelling for Early Childhood Creativity: Diffusion of Innovation "3-D Coloring Quiver Application Based on Augmented Reality Technology in Children's Creativity Development" “基于增强现实技术的三维着色箭在儿童创造力发展中的应用”

Int. J. Online Biomed. Eng. Pub Date : 2022-07-26 DOI: 10.3991/ijoe.v18i10.32845

Kisno, B. Wibawa, Khaerudin

{"title":"Digital Storytelling for Early Childhood Creativity: Diffusion of Innovation \"3-D Coloring Quiver Application Based on Augmented Reality Technology in Children's Creativity Development\"","authors":"Kisno, B. Wibawa, Khaerudin","doi":"10.3991/ijoe.v18i10.32845","DOIUrl":"https://doi.org/10.3991/ijoe.v18i10.32845","url":null,"abstract":"One of the important activities in children's learning that is rarely explored is creativity. This is an important concept for the successful implementation of early childhood education programs. Every child's creative talent must be developed. Opportunities and learning resources in the form of an environment to explore sources and media need to be given to children in realizing their creative potential. The growing digital world and children's interest in devices such as smartphones are an opportunity for teachers to take advantage of interactive and interesting ICT-based learning resources and media through audio, visual and audio visual media. Utilization through the wise use of digital resources and media for children is an important part of learning. Digital Storytelling in coloring activities through the “Quiver 3-D Coloring based on augmented reality technology” application offers the integration of virtual objects into a real environment forming three-dimensional animations on smartphones, color pictures for children, presenting digital stories at the end of the activity, so that children have an interest so that their creativity will develop. The purpose of this research is to spread \"augmented reality technology with Quiver-3D coloring application in developing children's creativity\" by presenting digital stories. The approach used in this research is descriptive analysis method through a qualitative-quantitative approach. The data in this research were obtained by direct observation and research-related questions to informants. The results of the research show that: \"children's creativity develops well through digital storytelling learning with 3-D Coloring based on Augmented Reality applications\".","PeriodicalId":247144,"journal":{"name":"Int. J. Online Biomed. Eng.","volume":"114 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-07-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132718086","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: 3

A Brief Survey on Weakly Supervised Semantic Segmentation 弱监督语义分割研究综述

Int. J. Online Biomed. Eng. Pub Date : 2022-07-26 DOI: 10.3991/ijoe.v18i10.31531

Youssef Ouassit, S. Ardchir, M. Y. E. Ghoumari, M. Azouazi

引用次数: 2