HUMAN REMOTE MOBILE MEDICAL INFORMATION COLLECTION METHOD BASED ON INTERNET OF THINGS AND INTELLIGENT ALGORITHM
Autor(a) principal: | |
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Data de Publicação: | 2021 |
Outros Autores: | , , |
Tipo de documento: | Artigo |
Idioma: | eng |
Título da fonte: | Revista brasileira de medicina do esporte (Online) |
Texto Completo: | http://old.scielo.br/scielo.php?script=sci_arttext&pid=S1517-86922021000700028 |
Resumo: | ABSTRACT In the environment of rapid social and economic development, the reform of medical informatization is constantly advancing, and the residents pay more and more attention to their own health status while improving their living standards. The traditional medical service system has some disadvantages in providing real-time, cross regional, long-term and easy-to-operate health services, which has become increasingly inadequate to meet the health needs of users. In order to solve the problem of difficulty in seeing a doctor caused by limited medical resources, and to carry out real-time health monitoring for a large number of groups suffering from chronic diseases and sub-health groups, this study conducted in-depth analysis and experimental exploration on the human remote mobile medical information collection method based on the Internet of things and intelligent algorithm. It established the information collection section by using KbaC clustering algorithm based on ant colony point system which, combined with a comparative study on the health indicators of related groups, has successfully proved that the Internet of things technology and intelligent algorithm for medical information collection and follow-up medical services are of certain positive significance, based on the Internet of things and other related technologies of human remote medical information collection system that can accurately and timely detect the patient's blood pressure, blood sugar and other health data, and then provide corresponding medical services. |
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HUMAN REMOTE MOBILE MEDICAL INFORMATION COLLECTION METHOD BASED ON INTERNET OF THINGS AND INTELLIGENT ALGORITHMInternet of thingsintelligent algorithmtelemedicineinformation collectionABSTRACT In the environment of rapid social and economic development, the reform of medical informatization is constantly advancing, and the residents pay more and more attention to their own health status while improving their living standards. The traditional medical service system has some disadvantages in providing real-time, cross regional, long-term and easy-to-operate health services, which has become increasingly inadequate to meet the health needs of users. In order to solve the problem of difficulty in seeing a doctor caused by limited medical resources, and to carry out real-time health monitoring for a large number of groups suffering from chronic diseases and sub-health groups, this study conducted in-depth analysis and experimental exploration on the human remote mobile medical information collection method based on the Internet of things and intelligent algorithm. It established the information collection section by using KbaC clustering algorithm based on ant colony point system which, combined with a comparative study on the health indicators of related groups, has successfully proved that the Internet of things technology and intelligent algorithm for medical information collection and follow-up medical services are of certain positive significance, based on the Internet of things and other related technologies of human remote medical information collection system that can accurately and timely detect the patient's blood pressure, blood sugar and other health data, and then provide corresponding medical services.Sociedade Brasileira de Medicina do Exercício e do Esporte2021-03-01info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersiontext/htmlhttp://old.scielo.br/scielo.php?script=sci_arttext&pid=S1517-86922021000700028Revista Brasileira de Medicina do Esporte v.27 n.spe 2021reponame:Revista brasileira de medicina do esporte (Online)instname:Sociedade Brasileira de Medicina do Exercício e do Esporte (SBMEE)instacron:SBMEE10.1590/1517-8692202127012020_0091info:eu-repo/semantics/openAccessDing,TaoLi,JingtaoPan,JiqiangGuo,Dongeng2021-02-26T00:00:00Zoai:scielo:S1517-86922021000700028Revistahttp://www.scielo.br/rbmeONGhttps://old.scielo.br/oai/scielo-oai.php||revista@medicinadoesporte.org.br1806-99401517-8692opendoar:2021-02-26T00:00Revista brasileira de medicina do esporte (Online) - Sociedade Brasileira de Medicina do Exercício e do Esporte (SBMEE)false |
dc.title.none.fl_str_mv |
HUMAN REMOTE MOBILE MEDICAL INFORMATION COLLECTION METHOD BASED ON INTERNET OF THINGS AND INTELLIGENT ALGORITHM |
title |
HUMAN REMOTE MOBILE MEDICAL INFORMATION COLLECTION METHOD BASED ON INTERNET OF THINGS AND INTELLIGENT ALGORITHM |
spellingShingle |
HUMAN REMOTE MOBILE MEDICAL INFORMATION COLLECTION METHOD BASED ON INTERNET OF THINGS AND INTELLIGENT ALGORITHM Ding,Tao Internet of things intelligent algorithm telemedicine information collection |
title_short |
HUMAN REMOTE MOBILE MEDICAL INFORMATION COLLECTION METHOD BASED ON INTERNET OF THINGS AND INTELLIGENT ALGORITHM |
title_full |
HUMAN REMOTE MOBILE MEDICAL INFORMATION COLLECTION METHOD BASED ON INTERNET OF THINGS AND INTELLIGENT ALGORITHM |
title_fullStr |
HUMAN REMOTE MOBILE MEDICAL INFORMATION COLLECTION METHOD BASED ON INTERNET OF THINGS AND INTELLIGENT ALGORITHM |
title_full_unstemmed |
HUMAN REMOTE MOBILE MEDICAL INFORMATION COLLECTION METHOD BASED ON INTERNET OF THINGS AND INTELLIGENT ALGORITHM |
title_sort |
HUMAN REMOTE MOBILE MEDICAL INFORMATION COLLECTION METHOD BASED ON INTERNET OF THINGS AND INTELLIGENT ALGORITHM |
author |
Ding,Tao |
author_facet |
Ding,Tao Li,Jingtao Pan,Jiqiang Guo,Dong |
author_role |
author |
author2 |
Li,Jingtao Pan,Jiqiang Guo,Dong |
author2_role |
author author author |
dc.contributor.author.fl_str_mv |
Ding,Tao Li,Jingtao Pan,Jiqiang Guo,Dong |
dc.subject.por.fl_str_mv |
Internet of things intelligent algorithm telemedicine information collection |
topic |
Internet of things intelligent algorithm telemedicine information collection |
description |
ABSTRACT In the environment of rapid social and economic development, the reform of medical informatization is constantly advancing, and the residents pay more and more attention to their own health status while improving their living standards. The traditional medical service system has some disadvantages in providing real-time, cross regional, long-term and easy-to-operate health services, which has become increasingly inadequate to meet the health needs of users. In order to solve the problem of difficulty in seeing a doctor caused by limited medical resources, and to carry out real-time health monitoring for a large number of groups suffering from chronic diseases and sub-health groups, this study conducted in-depth analysis and experimental exploration on the human remote mobile medical information collection method based on the Internet of things and intelligent algorithm. It established the information collection section by using KbaC clustering algorithm based on ant colony point system which, combined with a comparative study on the health indicators of related groups, has successfully proved that the Internet of things technology and intelligent algorithm for medical information collection and follow-up medical services are of certain positive significance, based on the Internet of things and other related technologies of human remote medical information collection system that can accurately and timely detect the patient's blood pressure, blood sugar and other health data, and then provide corresponding medical services. |
publishDate |
2021 |
dc.date.none.fl_str_mv |
2021-03-01 |
dc.type.driver.fl_str_mv |
info:eu-repo/semantics/article |
dc.type.status.fl_str_mv |
info:eu-repo/semantics/publishedVersion |
format |
article |
status_str |
publishedVersion |
dc.identifier.uri.fl_str_mv |
http://old.scielo.br/scielo.php?script=sci_arttext&pid=S1517-86922021000700028 |
url |
http://old.scielo.br/scielo.php?script=sci_arttext&pid=S1517-86922021000700028 |
dc.language.iso.fl_str_mv |
eng |
language |
eng |
dc.relation.none.fl_str_mv |
10.1590/1517-8692202127012020_0091 |
dc.rights.driver.fl_str_mv |
info:eu-repo/semantics/openAccess |
eu_rights_str_mv |
openAccess |
dc.format.none.fl_str_mv |
text/html |
dc.publisher.none.fl_str_mv |
Sociedade Brasileira de Medicina do Exercício e do Esporte |
publisher.none.fl_str_mv |
Sociedade Brasileira de Medicina do Exercício e do Esporte |
dc.source.none.fl_str_mv |
Revista Brasileira de Medicina do Esporte v.27 n.spe 2021 reponame:Revista brasileira de medicina do esporte (Online) instname:Sociedade Brasileira de Medicina do Exercício e do Esporte (SBMEE) instacron:SBMEE |
instname_str |
Sociedade Brasileira de Medicina do Exercício e do Esporte (SBMEE) |
instacron_str |
SBMEE |
institution |
SBMEE |
reponame_str |
Revista brasileira de medicina do esporte (Online) |
collection |
Revista brasileira de medicina do esporte (Online) |
repository.name.fl_str_mv |
Revista brasileira de medicina do esporte (Online) - Sociedade Brasileira de Medicina do Exercício e do Esporte (SBMEE) |
repository.mail.fl_str_mv |
||revista@medicinadoesporte.org.br |
_version_ |
1752122238014849024 |