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Leveraging of Weighted Ensemble Technique for Identifying Medical Concepts from Clinical Texts at Word and Phrase Level 利用加权集成技术在单词和短语级别从临床文本中识别医学概念
Machine Learning, IOT and Blockchain Technologies & Trends Pub Date : 2021-08-21 DOI: 10.5121/csit.2021.111213
Dipankar Das, Krishna Sharma
{"title":"Leveraging of Weighted Ensemble Technique for Identifying Medical Concepts from Clinical Texts at Word and Phrase Level","authors":"Dipankar Das, Krishna Sharma","doi":"10.5121/csit.2021.111213","DOIUrl":"https://doi.org/10.5121/csit.2021.111213","url":null,"abstract":"Concept identification from medical texts becomes important due to digitization. However, it is not always feasible to identify all such medical concepts manually. Thus, in the present attempt, we have applied five machine learning classifiers (Support Vector Machine, K-Nearest Neighbours, Logistic Regression, Random Forest and Naïve Bayes) and one deep learning classifier (Long Short Term Memory) to identify medical concepts by training a total of 27.383K sentences. In addition, we have also developed a rule based phrase identification module to help the existing classifiers for identifying multi- word medical concepts. We have employed word2vec technique for feature extraction and PCA and T- SNE for conducting ablation study over various features to select important ones. Finally, we have adopted two different ensemble approaches, stacking and weighted sum to improve the performance of the individual classifier and significant improvements were observed with respect to each of the classifiers. It has been observed that phrase identification module plays an important role when dealing with individual classifier in identifying higher order ngram medical concepts. Finally, the ensemble approach enhances the results over SVM that was showing initial improvement even after the application of phrase based module.","PeriodicalId":347682,"journal":{"name":"Machine Learning, IOT and Blockchain Technologies & Trends","volume":"63 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-08-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122808873","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
The Adoption of the Internet of Things for SMART Agriculture in Zimbabwe 津巴布韦智能农业采用物联网
Machine Learning, IOT and Blockchain Technologies & Trends Pub Date : 2021-08-21 DOI: 10.5121/csit.2021.111208
Tsitsi Zengeya, P. Sambo, N. Mabika
{"title":"The Adoption of the Internet of Things for SMART Agriculture in Zimbabwe","authors":"Tsitsi Zengeya, P. Sambo, N. Mabika","doi":"10.5121/csit.2021.111208","DOIUrl":"https://doi.org/10.5121/csit.2021.111208","url":null,"abstract":"Zimbabwe has faced severe droughts, resulting in low agricultural outputs. This has threatened food and nutrition security in community sections, especially in areas with low annual rainfall. There is a growing need to maximize water usage, monitor the environment and nutrients, and temperatures by the adaptation of smart agriculture. This research explored the use of the Internet of Things (IoT) for smart agriculture in Zimbabwe to improve food production. The mixed methodology was used to gather data through interviews from 50 purposively sampled A2 farmers in the five agricultural regions of Zimbabwe and was supported by the use of the Internet. The findings reveal that some farmers have adopted IoT in Zimbabwe, others are still to adopt such technology and some are not aware of the technology. IoT’s benefits to Zimbabwean farmers are immense in that it improves food security, water preservation, and farm management. However, for most farmers to benefit from IoT, more awareness campaigns should be carried out and mobile and fixed Internet connectivity improved in some of the areas.","PeriodicalId":347682,"journal":{"name":"Machine Learning, IOT and Blockchain Technologies & Trends","volume":"08 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-08-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127038418","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
Machine Learning and Deep Learning Technologies 机器学习和深度学习技术
Machine Learning, IOT and Blockchain Technologies & Trends Pub Date : 2021-08-21 DOI: 10.5121/csit.2021.111214
Yew Kee Wong
{"title":"Machine Learning and Deep Learning Technologies","authors":"Yew Kee Wong","doi":"10.5121/csit.2021.111214","DOIUrl":"https://doi.org/10.5121/csit.2021.111214","url":null,"abstract":"In the information era, enormous amounts of data have become available on hand to decision makers. Big data refers to datasets that are not only big, but also high in variety and velocity, which makes them difficult to handle using traditional tools and techniques. Due to the rapid growth of such data, solutions need to be studied and provided in order to handle and extract value and knowledge from these datasets. Machine learning is a method of data analysis that automates analytical model building. It is a branch of artificial intelligence based on the idea that systems can learn from data, identify patterns and make decisions with minimal human intervention. Such minimal human intervention can be provided using machine learning, which is the application of advanced deep learning techniques on big data. This paper aims to analyse some of the different machine learning and deep learning algorithms and methods, aswell as the opportunities provided by the AI applications in various decision making domains.","PeriodicalId":347682,"journal":{"name":"Machine Learning, IOT and Blockchain Technologies & Trends","volume":"8 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-08-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130253575","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
Detection of Oil Tank from High Resolution Remote Sensing Images using Morphological and Statistical Tools 基于形态学和统计工具的高分辨率遥感影像油罐检测
Machine Learning, IOT and Blockchain Technologies & Trends Pub Date : 2021-08-21 DOI: 10.5121/csit.2021.111207
D. Chaudhuri, I. Sharif
{"title":"Detection of Oil Tank from High Resolution Remote Sensing Images using Morphological and Statistical Tools","authors":"D. Chaudhuri, I. Sharif","doi":"10.5121/csit.2021.111207","DOIUrl":"https://doi.org/10.5121/csit.2021.111207","url":null,"abstract":"Oil tank is an important target and automatic detection of the target is an open research issue in satellite based high resolution imagery. This could be used for disaster screening, oil outflow, etc. A new methodology has been proposed for consistent and precise automatic oil tank detection from such panchromatic images. The proposed methodology uses both spatial and spectral properties domain knowledge regarding the character of targets in the sight. Multiple steps are required for detection of the target in the methodology – 1) enhancement technique using directional morphology, 2) multi-seed based clustering procedure using internal gray variance (IGV), 3) binarization and thinning operations, 4) circular shape detection by Hough transform, 5) MST based special relational grouping operation and 6) supervised minimum distance classifier for oil tank detection. IKONOS and Quickbird satellite images are used for testing the proposed algorithm. The outcomes show that the projected methodology in this paper is both precise and competent.","PeriodicalId":347682,"journal":{"name":"Machine Learning, IOT and Blockchain Technologies & Trends","volume":"12 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-08-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130280744","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
Effective Combination of Bert Model and Cross-Sentence Contexts in Aspect Extraction Bert模型与跨句语境在方面提取中的有效结合
Machine Learning, IOT and Blockchain Technologies & Trends Pub Date : 2021-08-21 DOI: 10.5121/csit.2021.111210
A. Le, Truong-Son Nguyen
{"title":"Effective Combination of Bert Model and Cross-Sentence Contexts in Aspect Extraction","authors":"A. Le, Truong-Son Nguyen","doi":"10.5121/csit.2021.111210","DOIUrl":"https://doi.org/10.5121/csit.2021.111210","url":null,"abstract":"The Aspect Extraction (AE) field investigates in collecting words which are sentiment aspects in sentences and documents. Despite the pandemic, the number of products purchased online is still growing, which means that the number of product reviews and comments is also increasing rapidly, so the role of the task is gradually crucial. Extract aspects in the text is a difficult task, that requires algorithms capable of deep capturing the semantics of the text. In this work, we combine two models of the two research groups, with the first using the BERT algorithm with multiple concatenated layers and the second using the strategies to enrich the dataset by itself in the training or testing phase. The source code is available on github.com, researchers can run it through scripts, modify it for further research also. https://github.com/leanhkhoi/AE_BERT_CROSS_SENTENCES","PeriodicalId":347682,"journal":{"name":"Machine Learning, IOT and Blockchain Technologies & Trends","volume":"90 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-08-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126242700","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
Classification of Mammographic Images by Openvino: A Proposal of use to Enhance More Effectivity in Cancer Diagnosis 用Openvino对乳房x线摄影图像进行分类:提高癌症诊断效率的建议
Machine Learning, IOT and Blockchain Technologies & Trends Pub Date : 2021-08-21 DOI: 10.5121/csit.2021.111206
Horacio Emidio de Lucca Junior, Arnaldo Rodrigues Santos
{"title":"Classification of Mammographic Images by Openvino: A Proposal of use to Enhance More Effectivity in Cancer Diagnosis","authors":"Horacio Emidio de Lucca Junior, Arnaldo Rodrigues Santos","doi":"10.5121/csit.2021.111206","DOIUrl":"https://doi.org/10.5121/csit.2021.111206","url":null,"abstract":"Diseases that are characterized by the disordered growth of cells that, in many cases, have the property of invading tissues and organs are commonly called cancer. Such cells divide quickly and the invasion can be very aggressive and uncontrolled, resulting in formation of malignant tumors Mammographic images from libraries of the American digital database DDSM were used in this research for digital improvement and characteristic analysis using the OpenVino computer program This work has as main objective to analyze mammography images of breast nodules and to propose a method of classification by shape and texture using computer programs that can maximize the accuracy in the correct diagnosis regarding the malignancy or not of a tumor. It is a tool that it can be useful as a contribution in the interpretation of the results to mastologists who identify such nodules through the analyzed radiological images.","PeriodicalId":347682,"journal":{"name":"Machine Learning, IOT and Blockchain Technologies & Trends","volume":"37 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-08-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124351062","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
Researching Blockchain Technology and its Usefulness in Higher Education 区块链技术及其在高等教育中的应用研究
Machine Learning, IOT and Blockchain Technologies & Trends Pub Date : 2021-08-21 DOI: 10.5121/csit.2021.111203
S. Iyer, A. Seetharaman, B. Ranjan
{"title":"Researching Blockchain Technology and its Usefulness in Higher Education","authors":"S. Iyer, A. Seetharaman, B. Ranjan","doi":"10.5121/csit.2021.111203","DOIUrl":"https://doi.org/10.5121/csit.2021.111203","url":null,"abstract":"The current paper focuses on the potential of using Blockchain Technology (BCT) in the Higher Education Domain and explores its usefulness in solving Higher Education issues. This research discusses the Blockchain features, challenges and its benefits in education, followed by review of some current Blockchain Higher Education applications. This paper reviews the Blockchain Technology (BCT) and its implementation in Higher Education. This research used a quantitative methodology and stratified clustered simple random sampling approach. Data has been gathered through an online survey instrument and the partial least squares structural equation modelling (PLS-SEM) technique applied to 383 responses. Blockchain technology has its unique features, benefits that can solve Education system requirements, and its successful implementation issues discussed. An effort made to gather enough consensus to build future implementation. The integrated model of Blockchain features matched to the needs of the Education System by agreement of the experts (discussions), and a survey conducted involving the students, teachers, educationists, Blockchain experts, and professionals, is tested and validated by SEM using PLS.","PeriodicalId":347682,"journal":{"name":"Machine Learning, IOT and Blockchain Technologies & Trends","volume":"18 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-08-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127789902","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: 1
Blockchain Architecture to Meet Challenges in Management of Electronic Health Records in IoT based Healthcare Systems 区块链架构应对基于物联网的医疗系统中电子健康记录管理的挑战
Machine Learning, IOT and Blockchain Technologies & Trends Pub Date : 2021-08-21 DOI: 10.5121/csit.2021.111204
M. Arif, Megha Kuliha, S. Varma
{"title":"Blockchain Architecture to Meet Challenges in Management of Electronic Health Records in IoT based Healthcare Systems","authors":"M. Arif, Megha Kuliha, S. Varma","doi":"10.5121/csit.2021.111204","DOIUrl":"https://doi.org/10.5121/csit.2021.111204","url":null,"abstract":"Secure, immutable and transparent feature of blockchain has led researchers to find ways to harness its potential in sectors other than financial services. Blockchain is emerging as a popular tool to help solve some of the healthcare industry's age-old problems that have resulted in delayed treatments, inaccessible health records in emergency, wasteful spending and higher costs for doctors, health care providers, insurers and patients. Applying blockchain in healthcare brings a new challenge of integrating blockchain with Internet of Things (IoT) networks as sensor based medical and wearable devices are now used to gather information about the health of a patient and provide it to medical applications using wireless networking. This paper proposes an architecture that would provide a decentralized, secure, immutable, transparent, scalable and traceable system for management and access control of electronic health records (EHRs) through the use of consortium blockchain, smart contracts, proof-ofauthentication (PoAh) consensus protocol and decentralized cloud.","PeriodicalId":347682,"journal":{"name":"Machine Learning, IOT and Blockchain Technologies & Trends","volume":"60 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-08-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127313230","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
Skills Mapping and Career Development Analysis using Artificial Intelligence 使用人工智能的技能映射和职业发展分析
Machine Learning, IOT and Blockchain Technologies & Trends Pub Date : 2021-08-21 DOI: 10.5121/csit.2021.111215
Yew Kee Wong
{"title":"Skills Mapping and Career Development Analysis using Artificial Intelligence","authors":"Yew Kee Wong","doi":"10.5121/csit.2021.111215","DOIUrl":"https://doi.org/10.5121/csit.2021.111215","url":null,"abstract":"Artificial intelligence has been an eye-popping word that is impacting every industry in the world. With the rise of such advanced technology, there will be always a question regarding its impact on our social life, environment and economy thus impacting all efforts exerted towards continuous development. From the definition, the welfare of human beings is the core of continuous development. Continuous development is useful only when ordinary people’s lives are improved whether in health, education, employment, environment, equality or justice. Securing decent jobs is a key enabler to promote the components of continuous development, economic growth, social welfare and environmental sustainability. The human resources are the precious resource for nations. The high unemployment and underemployment rates especially in youth is a great threat affecting the continuous economic development of many countries and is influenced by investment in education, and quality of living.","PeriodicalId":347682,"journal":{"name":"Machine Learning, IOT and Blockchain Technologies & Trends","volume":"21 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-08-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116033826","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
Preparing Annotated Data on Covid -19 by Employing Naïve Bayes 利用Naïve贝叶斯准备Covid -19标注数据
Machine Learning, IOT and Blockchain Technologies & Trends Pub Date : 2021-08-21 DOI: 10.5121/csit.2021.111211
Dipankar Das, Akash Ghosh, Adityar Rayala, Dibyajyoti Dhar, Vidit Sarkar, Avishek Garain, Sourav Kumar
{"title":"Preparing Annotated Data on Covid -19 by Employing Naïve Bayes","authors":"Dipankar Das, Akash Ghosh, Adityar Rayala, Dibyajyoti Dhar, Vidit Sarkar, Avishek Garain, Sourav Kumar","doi":"10.5121/csit.2021.111211","DOIUrl":"https://doi.org/10.5121/csit.2021.111211","url":null,"abstract":"The on-going pandemic has opened the pandora’s box of the plethora of hidden problems which the society has been hiding for years. But the positive side to the present scenario is the opening up of opportunities to solve these problems on the global stage. One such area which was being flooded with all kinds of different emotions, and reaction from the people all over the world, is twitter, which is a micro blogging platform. Coronavirus related hash tags have been trending all over for many days unlikeany other event in the past. Our experiment mainly deals with the collection, tagging and classification of these tweets based on the different keywords that they may belong to, using the Naive Bayes algorithm atthe core.","PeriodicalId":347682,"journal":{"name":"Machine Learning, IOT and Blockchain Technologies & Trends","volume":"296 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-08-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126739512","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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