Open Bioinformatics Journal最新文献_第4页

The Development of the Vital Signs Tele-monitoring System for the Elderly by Using ‘UML’ Language and the Interoperability Standard ‘Continua’ 用“UML”语言和互操作性标准“Continua”开发老年人生命体征远程监测系统

Open Bioinformatics Journal Pub Date : 2020-10-26 DOI: 10.2174/1875036202013010092

S. Mansouri

{"title":"The Development of the Vital Signs Tele-monitoring System for the Elderly by Using ‘UML’ Language and the Interoperability Standard ‘Continua’","authors":"S. Mansouri","doi":"10.2174/1875036202013010092","DOIUrl":"https://doi.org/10.2174/1875036202013010092","url":null,"abstract":"Aims: We aim to develope a system allowing the telemonitoring of the elderly health status. Medical telemonitoring can make life easy and safe for elderly. The goal of this project is the development of a medical telemonitoring application. Background: Medical telemonitoring can make life easy and safe for elderly. Objective: The goal of this project is the development of a medical telemonitoring application. Methods: In this paper we exposed the different steps of the developing of a medical telemonitoring system designed for the elderly. We studied the medical needs and the system specifications. We used the UML language. Then we detailed the designed system with a total respect to the standard for the interoperability of connected medical equipment, Continua. We presented printed screens of the realized interfaces. Results: We realized an application based on web development, more specifically development of a management application for medical telemonitoring. Conclusion: In terms of perspectives, we aim to integrate security protocols in the developed system, integrate the data sent from the sensors into an E, H & R (HER) and send the patient file to a H, I & S (HIS).","PeriodicalId":38956,"journal":{"name":"Open Bioinformatics Journal","volume":"13 1","pages":"92-105"},"PeriodicalIF":0.0,"publicationDate":"2020-10-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"42240632","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

iMPT-FRAKEL: A Simple Multi-label Web-server that Only Uses Fingerprints to Identify which Metabolic Pathway Types Compounds can Participate In iMPT-FRAKEL:一个简单的多标签网络服务器，仅使用指纹来识别化合物可以参与的代谢途径类型

Open Bioinformatics Journal Pub Date : 2020-08-18 DOI: 10.2174/1875036202013010083

Yan-juan Jia, Lei Chen, Jian-Peng Zhou, Min Liu

{"title":"iMPT-FRAKEL: A Simple Multi-label Web-server that Only Uses Fingerprints to Identify which Metabolic Pathway Types Compounds can Participate In","authors":"Yan-juan Jia, Lei Chen, Jian-Peng Zhou, Min Liu","doi":"10.2174/1875036202013010083","DOIUrl":"https://doi.org/10.2174/1875036202013010083","url":null,"abstract":"\u0000 \u0000 Metabolic pathway is one of the most basic biological pathways in living organisms. It consists of a series of chemical reactions and provides the necessary molecules and energies for organisms. To date, lots of metabolic pathways have been detected. However, there still exist hidden participants (compounds and enzymes) for some metabolic pathways due to the complexity and diversity of metabolic pathways. It is necessary to develop quick, reliable, and non-animal-involved prediction model to recognize metabolic pathways for any compound.\u0000 \u0000 \u0000 \u0000 In this study, a multi-label classifier, namely iMPT-FRAKEL, was developed for identifying which metabolic pathway types that compounds can participate in. Compounds and 12 metabolic pathway types were retrieved from KEGG. Each compound was represented by its fingerprints, which was the most widely used form for representing compounds and can be extracted from its SMILES format. A popular multi-label classification scheme, Random k-Labelsets (RAKEL) algorithm, was adopted to build the classifier. Classic machine learning algorithm, Support Vector Machine (SVM) with RBF kernel, was selected as the basic classification algorithm. Ten-fold cross-validation was used to evaluate the performance of the iMPT-FRAKEL. In addition, a web-server version of such classifier was set up, which can be assessed at http://cie.shmtu.edu.cn/impt/index.\u0000 \u0000 \u0000 \u0000 iMPT-FRAKEL yielded the accuracy of 0.804, exact match of 0.745 and hamming loss of 0.039. Comparison results indicated that such classifier was superior to other models, including models with Binary Relevance (BR) or other classification algorithms.\u0000 \u0000 \u0000 \u0000 The proposed classifier employed limited prior knowledge of compounds but gives satisfying performance for recognizing metabolic pathways of compounds.\u0000","PeriodicalId":38956,"journal":{"name":"Open Bioinformatics Journal","volume":"1 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2020-08-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"43497376","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

Bacterial DNA Diversity among Clear and Cloudy Sakes, and Sake-kasu 清浊清酒和清酒的细菌DNA多样性

Open Bioinformatics Journal Pub Date : 2020-08-13 DOI: 10.2174/1875036202013010074

Momoka Terasaki, H. Nishida

引用次数: 10

Ancestral Area Reconstruction of SARS-CoV-2 Indicates Multiple Sources of Entry into Australia 严重急性呼吸系统综合征冠状病毒2型祖先区重建表明进入澳大利亚的多种来源

Open Bioinformatics Journal Pub Date : 2020-06-28 DOI: 10.2174/1875036202114010013

N. Phan, H. Faddy, R. Flower, K. Spann, Eileen V. Roulis

{"title":"Ancestral Area Reconstruction of SARS-CoV-2 Indicates Multiple Sources of Entry into Australia","authors":"N. Phan, H. Faddy, R. Flower, K. Spann, Eileen V. Roulis","doi":"10.2174/1875036202114010013","DOIUrl":"https://doi.org/10.2174/1875036202114010013","url":null,"abstract":"\u0000 \u0000 The ongoing COVID-19 pandemic is caused by severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2). International travels to Australia during the early stages of the pandemic prior to border closure provided avenues for this virus to spread into Australia. Studies of SARS-CoV-2 biogeographical distribution can contribute to the understanding of the viral original sources to Australia.\u0000 \u0000 \u0000 \u0000 This study aimed to investigate the clonality and ancestral sources of Australian SARS-CoV-2 isolates using phylogenetic methods.\u0000 \u0000 \u0000 \u0000 We retrieved 1,346 complete genomes from Australia along with 153 genomes from other countries from the GISAID and NCBI nucleotide databases as of the 14th May 2020. A representative dataset of 270 Australian and international sequences were resulted from performance of nucleotide redundancy reduction by CD-HIT. We then constructed a median-joining network by Network 10.1.0.0, and phylogenies by IQ-Tree, BEAST and FastTree. The Bayesian statistical dispersal-vicariance analysis (S-DIVA) and Bayesian interference for discrete areas (BayArea) built in RASP were used to reconstruct ancestral ranges over the phylogenetic trees.\u0000 \u0000 \u0000 \u0000 Two major clusters, from Europe and from Asia, were observed on the network of 183 haplotypes with distinct nucleotide variations. Analysis of ancestral area reconstruction over the phylogenies indicated most Australian SARS-CoV-2 sequences were disseminated from Europe and East Asia-Southeast Asia.\u0000 \u0000 \u0000 \u0000 The finding is genetic evidence for the geographic origins of the Australian SARS-CoV-2 sequences. Most Australian sequences were genetically similar to those from Europe and East Asia-Southeast Asia, which were also suggested as two main sources of introduction of SARS-CoV-2 to Australia.\u0000","PeriodicalId":38956,"journal":{"name":"Open Bioinformatics Journal","volume":" ","pages":""},"PeriodicalIF":0.0,"publicationDate":"2020-06-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"48521171","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

Fuzzy String Matching Procedure 模糊字符串匹配过程

Open Bioinformatics Journal Pub Date : 2020-05-23 DOI: 10.2174/1875036202013010050

Zekâi Şen

引用次数: 1

Meta-Analysis of Expression of the Stress Tolerance Associated Genes and Uncover their Cis-Regulatory Elements in Rice (Oryza sativa L.) 水稻(Oryza sativa L.)耐胁迫相关基因表达的meta分析及其顺式调控元件的揭示

Open Bioinformatics Journal Pub Date : 2020-04-23 DOI: 10.2174/1875036202013010039

Nikwan Shariatipour, B. Heidari

引用次数: 8

Machine Learning Algorithms in Cardiology Domain: A Systematic Review 心脏病学领域的机器学习算法:系统综述

Open Bioinformatics Journal Pub Date : 2020-04-23 DOI: 10.2174/1875036202013010025

Aleksei Dudchenko, Matthias Ganzinger, G. Kopanitsa

引用次数: 7

Network Biology Approaches to Identify the Drug Lead Molecule for Neurodevelopmental Disorders in Human 识别人类神经发育障碍药物先导分子的网络生物学方法

Open Bioinformatics Journal Pub Date : 2020-03-20 DOI: 10.2174/1875036202013010015

A. Verma, S. Chauhan, V. Pankaj, Neha Srivastva, P. Srivastava

引用次数: 3

Direct At-Sea Observations of Elephant Seals (Mirounga spp.) to Help Interpret Digital Bio-logging Data 直接在海上观察象海豹(米隆加种)，以帮助解释数字生物记录数据

Open Bioinformatics Journal Pub Date : 2020-01-01 DOI: 10.2174/1874196702008010001

J. van den Hoff, S. Thalmann

引用次数: 0

Mobile Applications for the Promotion and Support of Healthy Nutrition and Physical Activity Habits: A Systematic Review, Extraction of Features and Taxonomy Proposal 促进和支持健康营养和体育活动习惯的移动应用:系统综述、特征提取和分类建议

Open Bioinformatics Journal Pub Date : 2019-12-20 DOI: 10.2174/1874196701907010050

M. Villasana, I. Pires, Juliana Sá, N. Garcia, Eftim Zdravevski, I. Chorbev, Petre Lameski, Francisco Flórez-Revuelta

{"title":"Mobile Applications for the Promotion and Support of Healthy Nutrition and Physical Activity Habits: A Systematic Review, Extraction of Features and Taxonomy Proposal","authors":"M. Villasana, I. Pires, Juliana Sá, N. Garcia, Eftim Zdravevski, I. Chorbev, Petre Lameski, Francisco Flórez-Revuelta","doi":"10.2174/1874196701907010050","DOIUrl":"https://doi.org/10.2174/1874196701907010050","url":null,"abstract":"\u0000 \u0000 Mobile applications can be used for the monitoring of lifestyles and physical activity. It can be installed in commodity mobile devices, which are currently used by different types of people in their daily activities worlwide .\u0000 \u0000 \u0000 \u0000 This paper reviews and categorizes the mobile applications related to diet, nutrition, health, physical activity and education, showing the analysis of 73 mobile applications available on Google Play Store with the extraction of the different features.\u0000 \u0000 \u0000 \u0000 The mobile applications were analyzed in relation to each proposed category and their features, starting with the definition of the search keywords used in the Google Play Store. Each mobile application was installed on a smartphone, and validated whether it was researched in scientific studies. Finally, all mobile applications and features were categorized.\u0000 \u0000 \u0000 \u0000 These mobile applications were clustered into four groups, including diet and nutrition, health, physical activity and education. The features of mobile applications were also categorized into six groups, including diet, anthropometric parameters, social, physical activity, medical parameters and vital parameters. The most available features of the mobile applications are weight, height, age, gender, goals, calories needed calculation, diet diary, food database with calories, calories burned and calorie intake.\u0000 \u0000 \u0000 \u0000 With this review, it was concluded that most mobile applications available in the market are related to diet, and they are important for different types of people. A promising idea for future work is to evaluate the acceptance by young people of such mobile applications.\u0000","PeriodicalId":38956,"journal":{"name":"Open Bioinformatics Journal","volume":"36 30","pages":""},"PeriodicalIF":0.0,"publicationDate":"2019-12-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"41244383","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: 11