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iPatient in medical information systems and future of internet of health 医疗信息系统与健康互联网的未来
2017 20th Conference of Open Innovations Association (FRUCT) Pub Date : 2017-04-01 DOI: 10.23919/FRUCT.2017.8071308
Olga Kolesnichenko, Gennady Smorodin, A. Mazelis, A. Nikolaev, L. Mazelis, A. Martynov, V. Pulit, S. Balandin, Yuriy Kolesnichenko
{"title":"iPatient in medical information systems and future of internet of health","authors":"Olga Kolesnichenko, Gennady Smorodin, A. Mazelis, A. Nikolaev, L. Mazelis, A. Martynov, V. Pulit, S. Balandin, Yuriy Kolesnichenko","doi":"10.23919/FRUCT.2017.8071308","DOIUrl":"https://doi.org/10.23919/FRUCT.2017.8071308","url":null,"abstract":"The results of Study “iHealthCare Optimization”, provided by Dell EMC External Research and Academic Alliances, are presented. Big Data analytics of Medical information system qMS records was implemented using cluster analysis in Python. Software for cluster analysis was created by Andrey Mazelis (Vladivostok State University of Economics and Service). There are two directions of cluster analysis: Series treatment (number of investigation procedures for each patient) and Series time (waiting time for investigation procedures for each patient). Two models of patients management (Model A and Model B) were found, that can be used for better planning of care management. Models approach provides the new capability to implement Health Care Standard in mode aaS, using feedback after Big Data analytics. Around 80-90% of patients with Essential hypertension can get treatment in Day Hospital without hospitalization.","PeriodicalId":114353,"journal":{"name":"2017 20th Conference of Open Innovations Association (FRUCT)","volume":"147 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-04-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129688430","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: 5
Fuzzy model for analysing implicit factor influence 隐式因素影响分析的模糊模型
2017 20th Conference of Open Innovations Association (FRUCT) Pub Date : 2017-04-01 DOI: 10.23919/FRUCT.2017.8071328
D. Nazarov, D. A. Azarov, Yakov P. Silin, S. V. Begicheva, Gennady Smorodin
{"title":"Fuzzy model for analysing implicit factor influence","authors":"D. Nazarov, D. A. Azarov, Yakov P. Silin, S. V. Begicheva, Gennady Smorodin","doi":"10.23919/FRUCT.2017.8071328","DOIUrl":"https://doi.org/10.23919/FRUCT.2017.8071328","url":null,"abstract":"The article deals with the problem of analysing implicit factor influence. It later reveals a mathematical model for conducting a search for implicit factors within a system which is based on a fuzzy set theory and employs fuzzy binary relations and is put into practice as a combination of web-services posted on http://bi.usue.ru/. The model's capability to identify implicit factors by making use of expert judgements presented in natural language is lastly demonstrated.","PeriodicalId":114353,"journal":{"name":"2017 20th Conference of Open Innovations Association (FRUCT)","volume":"22 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-04-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130131120","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
Competence management systems in organisations: A literature review 组织能力管理体系:文献综述
2017 20th Conference of Open Innovations Association (FRUCT) Pub Date : 2017-04-01 DOI: 10.23919/FRUCT.2017.8071344
Viktoriia Stepanenko, A. Kashevnik
{"title":"Competence management systems in organisations: A literature review","authors":"Viktoriia Stepanenko, A. Kashevnik","doi":"10.23919/FRUCT.2017.8071344","DOIUrl":"https://doi.org/10.23919/FRUCT.2017.8071344","url":null,"abstract":"This paper presents a literature review on competence management for organizations. It aims to find competence modelling research trends, reveal the difference between the terms ≪individual competence≫ and ≪core competence≫, examine competence management systems, identify the most common features and highlight main requirements for design and development of these systems.","PeriodicalId":114353,"journal":{"name":"2017 20th Conference of Open Innovations Association (FRUCT)","volume":"18 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-04-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"134242499","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: 8
Influence of different feature selection approaches on the performance of emotion recognition methods based on SVM 不同特征选择方法对基于SVM的情感识别方法性能的影响
2017 20th Conference of Open Innovations Association (FRUCT) Pub Date : 2017-04-01 DOI: 10.23919/FRUCT.2017.8071290
D. Belkov, K. Purtov, V. Kublanov
{"title":"Influence of different feature selection approaches on the performance of emotion recognition methods based on SVM","authors":"D. Belkov, K. Purtov, V. Kublanov","doi":"10.23919/FRUCT.2017.8071290","DOIUrl":"https://doi.org/10.23919/FRUCT.2017.8071290","url":null,"abstract":"In this paper we evaluate performance of modern emotion recognition methods. Our task is to classify emotions as basic 8 categories: anger, contempt, disgust, fear, happy, sadness, surprise and neutral. CK+ dataset is used in all experiments. We apply Adaptive Boosting and Principal Component Analysis for dimensionality reduction and Support Vector Machine for classification. Size of train dataset is increased by use of few frames of sequences instead of one and vertical mirroring of faces. All images were normalized with mean centering and standardizing. In total 4428 images were used in experiment. The proposed method can work in real time and achieved average accuracy higher than 95%.","PeriodicalId":114353,"journal":{"name":"2017 20th Conference of Open Innovations Association (FRUCT)","volume":"81 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-04-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128811100","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
Synthesis of neurocontroller for multirotor unmanned aerial vehicle based on neuroemulator 基于神经模拟器的多旋翼无人机神经控制器合成
2017 20th Conference of Open Innovations Association (FRUCT) Pub Date : 2017-04-01 DOI: 10.23919/FRUCT.2017.8071287
Sergey Andropov, A. Guirik, M. Budko, M. Budko
{"title":"Synthesis of neurocontroller for multirotor unmanned aerial vehicle based on neuroemulator","authors":"Sergey Andropov, A. Guirik, M. Budko, M. Budko","doi":"10.23919/FRUCT.2017.8071287","DOIUrl":"https://doi.org/10.23919/FRUCT.2017.8071287","url":null,"abstract":"This paper presents a method of creating a neurocontroller based on a multilayer perceptron for an unmanned aerial vehicle. We show how a neural network can effectively emulate dynamic characteristics of an aerial craft. Another network learns to control the emulator, using backpropagation algorithm to calculate the error in its control signal. A set of parameters is used to analyze the efficiency of the stabilization and the weights of the neurocontroller are adjusted accordingly. It is shown that the system meets stabilization requirements with sufficient number of iterations. Described method can be used to remotely control unmanned aerial vehicles operating in changing environment.","PeriodicalId":114353,"journal":{"name":"2017 20th Conference of Open Innovations Association (FRUCT)","volume":"107 5","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-04-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"120843271","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
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