V. Kumaresan, K. Punitha, S. Ragupathy, B. Shan, T. Gunasekaran
{"title":"A biometric based medical information system for the identification of comorbidity in Covid-19 patients","authors":"V. Kumaresan, K. Punitha, S. Ragupathy, B. Shan, T. Gunasekaran","doi":"10.1063/5.0068693","DOIUrl":null,"url":null,"abstract":"Medical information System provides the best way to collect patient's medical information. It helps the doctors to retrieve the patient's previous medical history very faster and able to provide suitable treatment quickly. To keep medical information of a patient securely is a difficult task. Many MQTT algorithms have been developed to provide security for the patients information. The sensitive medical information of a patient can also be protected by using biometric technology. Internet of Thing (IoT) technology used to send the medical information to the doctor like blood group, BP value, cholesterol level and heart rate level. The proposed system helps to provide the comorbidity details of the Covid-19 infected patient's to doctors mobile phone. It also takes the current health details of the patients like temperature, respiratory rate and heart beat rate. By considering the past and present medical data of the Covid-19 patients, this system recommends the type of treatment to be given for Covid-19 infected patients. © 2021 American Institute of Physics Inc.. All rights reserved.","PeriodicalId":184161,"journal":{"name":"PROCEEDINGS OF THE 4TH NATIONAL CONFERENCE ON CURRENT AND EMERGING PROCESS TECHNOLOGIES E-CONCEPT-2021","volume":"59 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"1900-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"PROCEEDINGS OF THE 4TH NATIONAL CONFERENCE ON CURRENT AND EMERGING PROCESS TECHNOLOGIES E-CONCEPT-2021","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1063/5.0068693","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 1
基于生物特征识别的新冠肺炎患者合并症医疗信息系统
医疗信息系统提供了收集患者医疗信息的最佳途径。它可以帮助医生更快地检索患者以前的病史,并能够快速提供合适的治疗。安全地保存病人的医疗信息是一项艰巨的任务。为了保证患者信息的安全性,已经开发了许多MQTT算法。患者的敏感医疗信息也可以通过使用生物识别技术得到保护。物联网(IoT)技术用于向医生发送诸如血型、血压值、胆固醇水平和心率水平等医疗信息。该系统有助于向医生的手机提供Covid-19感染患者的合并症详细信息。它还可以获取患者当前的健康细节,如体温、呼吸频率和心率。该系统通过考虑Covid-19患者过去和现在的医疗数据,为Covid-19感染患者推荐治疗类型。©2021美国物理学会。版权所有。
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