Nikitha Tripuraneni, Rajashekhar Balla, Trisha Sai Paladugu, Fathimabi Shaik
{"title":"基于云的个人健康记录(PHR)和个性化印度健康网络","authors":"Nikitha Tripuraneni, Rajashekhar Balla, Trisha Sai Paladugu, Fathimabi Shaik","doi":"10.1109/InCACCT57535.2023.10141731","DOIUrl":null,"url":null,"abstract":"Cloud Based PHR & Personalized Indian Health Network is a social network and user repository with the goal of connecting users and bringing together people with similar medical issues. PIHN assists in creating a network of patients who may offer suggestions and share their experiences. Additionally, PIHN makes it possible for patients to store their past medical records so they can be accessible at any time without having to carry a physical copy with them everywhere. Cloud Based PHR is accessible to the user and has the ability to recover lost copies. Personalized Indian Health Network is especially made for Indians. Also, the PIHN has a self-tracking system that enables users to monitor their health status based on their day-to-day health conditions. PIHN has a recommender system that connects people with similar profiles. By exchanging experiences, this system enables users to consult a doctor and receive better care. To provide recommendations, an appropriate method is used to measure user similarities. Patients who are similar to one another form a network to communicate. Users’ privacy is maintained, and their data is never disclosed without their permission. The Django framework is used for the frontend and Firebase is used as the backend storage. In Self-tracking system, the user’s data is visualized in graphs for quick and easy understanding of their health status. Patient-to-patient recommendations are made using user-based collaborative filtering algorithms.","PeriodicalId":405272,"journal":{"name":"2023 International Conference on Advancement in Computation & Computer Technologies (InCACCT)","volume":"49 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2023-05-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Cloud Based Personal Health Record (PHR) and Personalized Indian Health Network\",\"authors\":\"Nikitha Tripuraneni, Rajashekhar Balla, Trisha Sai Paladugu, Fathimabi Shaik\",\"doi\":\"10.1109/InCACCT57535.2023.10141731\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Cloud Based PHR & Personalized Indian Health Network is a social network and user repository with the goal of connecting users and bringing together people with similar medical issues. PIHN assists in creating a network of patients who may offer suggestions and share their experiences. Additionally, PIHN makes it possible for patients to store their past medical records so they can be accessible at any time without having to carry a physical copy with them everywhere. Cloud Based PHR is accessible to the user and has the ability to recover lost copies. Personalized Indian Health Network is especially made for Indians. Also, the PIHN has a self-tracking system that enables users to monitor their health status based on their day-to-day health conditions. PIHN has a recommender system that connects people with similar profiles. By exchanging experiences, this system enables users to consult a doctor and receive better care. To provide recommendations, an appropriate method is used to measure user similarities. Patients who are similar to one another form a network to communicate. Users’ privacy is maintained, and their data is never disclosed without their permission. The Django framework is used for the frontend and Firebase is used as the backend storage. In Self-tracking system, the user’s data is visualized in graphs for quick and easy understanding of their health status. 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Cloud Based Personal Health Record (PHR) and Personalized Indian Health Network
Cloud Based PHR & Personalized Indian Health Network is a social network and user repository with the goal of connecting users and bringing together people with similar medical issues. PIHN assists in creating a network of patients who may offer suggestions and share their experiences. Additionally, PIHN makes it possible for patients to store their past medical records so they can be accessible at any time without having to carry a physical copy with them everywhere. Cloud Based PHR is accessible to the user and has the ability to recover lost copies. Personalized Indian Health Network is especially made for Indians. Also, the PIHN has a self-tracking system that enables users to monitor their health status based on their day-to-day health conditions. PIHN has a recommender system that connects people with similar profiles. By exchanging experiences, this system enables users to consult a doctor and receive better care. To provide recommendations, an appropriate method is used to measure user similarities. Patients who are similar to one another form a network to communicate. Users’ privacy is maintained, and their data is never disclosed without their permission. The Django framework is used for the frontend and Firebase is used as the backend storage. In Self-tracking system, the user’s data is visualized in graphs for quick and easy understanding of their health status. Patient-to-patient recommendations are made using user-based collaborative filtering algorithms.