Pub Date : 2020-10-26DOI: 10.2174/1875036202013010092
S. Mansouri
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).
{"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}
Pub Date : 2020-08-18DOI: 10.2174/1875036202013010083
Yan-juan Jia, Lei Chen, Jian-Peng Zhou, Min Liu
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. 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. 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. The proposed classifier employed limited prior knowledge of compounds but gives satisfying performance for recognizing metabolic pathways of compounds.
{"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}
Pub Date : 2020-08-13DOI: 10.2174/1875036202013010074
Momoka Terasaki, H. Nishida
Bacterial DNA frequently detected in sake samples was from environmental bacterial contamination that occurs early in the sake production process. Contaminating bacteria are usually killed by the ethanol produced as the sake yeast grows; after which, if bacteria lyse, the bacterial DNA is released into the sake solution. However, if the bacterial cells do not lyse, they will precipitate toward the sediment. Thus, there is bacterial DNA diversity in clear and cloudy sake, but less diversity in sake-kasu.
{"title":"Bacterial DNA Diversity among Clear and Cloudy Sakes, and Sake-kasu","authors":"Momoka Terasaki, H. Nishida","doi":"10.2174/1875036202013010074","DOIUrl":"https://doi.org/10.2174/1875036202013010074","url":null,"abstract":"Bacterial DNA frequently detected in sake samples was from environmental bacterial contamination that occurs early in the sake production process. Contaminating bacteria are usually killed by the ethanol produced as the sake yeast grows; after which, if bacteria lyse, the bacterial DNA is released into the sake solution. However, if the bacterial cells do not lyse, they will precipitate toward the sediment. Thus, there is bacterial DNA diversity in clear and cloudy sake, but less diversity in sake-kasu.","PeriodicalId":38956,"journal":{"name":"Open Bioinformatics Journal","volume":"13 1","pages":"74-82"},"PeriodicalIF":0.0,"publicationDate":"2020-08-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"42470212","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}
Pub Date : 2020-06-28DOI: 10.2174/1875036202114010013
N. Phan, H. Faddy, R. Flower, K. Spann, Eileen V. Roulis
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. This study aimed to investigate the clonality and ancestral sources of Australian SARS-CoV-2 isolates using phylogenetic methods. 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. 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. 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.
{"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}
Pub Date : 2020-05-23DOI: 10.2174/1875036202013010050
Zekâi Şen
There are different methodologies for DNA comparison based on two string algorithms, which are dependent on crisp logical principles, where there is no room for verbal (linguistic) uncertainty. These are successfully applicable procedures in DNA bioinformatics researches even by taking into consideration probabilistic random variability components based on the probability distribution functions of various types.
{"title":"Fuzzy String Matching Procedure","authors":"Zekâi Şen","doi":"10.2174/1875036202013010050","DOIUrl":"https://doi.org/10.2174/1875036202013010050","url":null,"abstract":"There are different methodologies for DNA comparison based on two string algorithms, which are dependent on crisp logical principles, where there is no room for verbal (linguistic) uncertainty. These are successfully applicable procedures in DNA bioinformatics researches even by taking into consideration probabilistic random variability components based on the probability distribution functions of various types.","PeriodicalId":38956,"journal":{"name":"Open Bioinformatics Journal","volume":"13 1","pages":"50-56"},"PeriodicalIF":0.0,"publicationDate":"2020-05-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"48582124","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}
Pub Date : 2020-04-23DOI: 10.2174/1875036202013010039
Nikwan Shariatipour, B. Heidari
Rice contributes to the staple food of more than half of the world’s population. However, its productivity is influenced by various biotic and abiotic stresses. Genetic engineering and plant breeding tools help to overcome the adverse effects of environmental stresses. The advanced bioinformatics tools provide information for a better understanding of the mechanisms underlying stress tolerance, gene expression profiles and functions of the important genes and cis-regulatory elements involved in better performance under abiotic stresses.
{"title":"Meta-Analysis of Expression of the Stress Tolerance Associated Genes and Uncover their Cis-Regulatory Elements in Rice (Oryza sativa L.)","authors":"Nikwan Shariatipour, B. Heidari","doi":"10.2174/1875036202013010039","DOIUrl":"https://doi.org/10.2174/1875036202013010039","url":null,"abstract":"Rice contributes to the staple food of more than half of the world’s population. However, its productivity is influenced by various biotic and abiotic stresses. Genetic engineering and plant breeding tools help to overcome the adverse effects of environmental stresses. The advanced bioinformatics tools provide information for a better understanding of the mechanisms underlying stress tolerance, gene expression profiles and functions of the important genes and cis-regulatory elements involved in better performance under abiotic stresses.","PeriodicalId":38956,"journal":{"name":"Open Bioinformatics Journal","volume":"13 1","pages":"39-49"},"PeriodicalIF":0.0,"publicationDate":"2020-04-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"47150143","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}
Pub Date : 2020-04-23DOI: 10.2174/1875036202013010025
Aleksei Dudchenko, Matthias Ganzinger, G. Kopanitsa
For organizing this review, we adopted the PRISMA statement. We used PubMed as the search engine and identified the search keywords as “Machine Learning”, “Data Mining”, “Cardiology”, and “Cardiovascular” in combinations. Scientific articles and conference papers published between 2013-2017 reporting about implementations of ML algorithms in the domain of cardiology have been included in this review.
{"title":"Machine Learning Algorithms in Cardiology Domain: A Systematic Review","authors":"Aleksei Dudchenko, Matthias Ganzinger, G. Kopanitsa","doi":"10.2174/1875036202013010025","DOIUrl":"https://doi.org/10.2174/1875036202013010025","url":null,"abstract":"For organizing this review, we adopted the PRISMA statement. We used PubMed as the search engine and identified the search keywords as “Machine Learning”, “Data Mining”, “Cardiology”, and “Cardiovascular” in combinations. Scientific articles and conference papers published between 2013-2017 reporting about implementations of ML algorithms in the domain of cardiology have been included in this review.","PeriodicalId":38956,"journal":{"name":"Open Bioinformatics Journal","volume":"13 1","pages":"25-40"},"PeriodicalIF":0.0,"publicationDate":"2020-04-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"44005146","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}
Pub Date : 2020-03-20DOI: 10.2174/1875036202013010015
A. Verma, S. Chauhan, V. Pankaj, Neha Srivastva, P. Srivastava
Background: Neurodevelopmental disorders (NNDs) are disabilities associated chiefly with the functioning of the neurological system and brain. Children with neurodevelopmental disorders have difficulties with speech, behaviour, learning and other neurological functions. Systems biology is a holistic approach to enciphering the complexity of biological systems and their interactions. It opens the way to a more successful discovery of novel therapeutics.
{"title":"Network Biology Approaches to Identify the Drug Lead Molecule for Neurodevelopmental Disorders in Human","authors":"A. Verma, S. Chauhan, V. Pankaj, Neha Srivastva, P. Srivastava","doi":"10.2174/1875036202013010015","DOIUrl":"https://doi.org/10.2174/1875036202013010015","url":null,"abstract":"Background: Neurodevelopmental disorders (NNDs) are disabilities associated chiefly with the functioning of the neurological system and brain. Children with neurodevelopmental disorders have difficulties with speech, behaviour, learning and other neurological functions. Systems biology is a holistic approach to enciphering the complexity of biological systems and their interactions. It opens the way to a more successful discovery of novel therapeutics.","PeriodicalId":38956,"journal":{"name":"Open Bioinformatics Journal","volume":"13 1","pages":"15-24"},"PeriodicalIF":0.0,"publicationDate":"2020-03-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"41769134","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}
Pub Date : 2020-01-01DOI: 10.2174/1874196702008010001
J. van den Hoff, S. Thalmann
Two deep-sea video recordings and six surface sightings of elephant seals ingesting prey were collated. Each observation either supported or suggested an alternative to behaviours derived from digital time-depth profiles. The tendency for elephant seals to surface following the capture of large prey suggests precipitous drops in stomach temperature at the sea-surface, which have been recorded and interpreted as drinking events, more likely represent the ingestion of large prey items.
{"title":"Direct At-Sea Observations of Elephant Seals (Mirounga spp.) to Help Interpret Digital Bio-logging Data","authors":"J. van den Hoff, S. Thalmann","doi":"10.2174/1874196702008010001","DOIUrl":"https://doi.org/10.2174/1874196702008010001","url":null,"abstract":"Two deep-sea video recordings and six surface sightings of elephant seals ingesting prey were collated. Each observation either supported or suggested an alternative to behaviours derived from digital time-depth profiles. The tendency for elephant seals to surface following the capture of large prey suggests precipitous drops in stomach temperature at the sea-surface, which have been recorded and interpreted as drinking events, more likely represent the ingestion of large prey items.","PeriodicalId":38956,"journal":{"name":"Open Bioinformatics Journal","volume":"46 37 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2020-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"68053017","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}
Pub Date : 2019-12-20DOI: 10.2174/1874196701907010050
M. Villasana, I. Pires, Juliana Sá, N. Garcia, Eftim Zdravevski, I. Chorbev, Petre Lameski, Francisco Flórez-Revuelta
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 . 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. 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. 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. 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.
{"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}
京公网安备 11010802042870号
京ICP备2023020795号-1
扫码关注我们
求助内容：
应助结果提醒方式：