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<article xsi:noNamespaceSchemaLocation="http://jats.nlm.nih.gov/publishing/1.1/xsd/JATS-journalpublishing1-mathml3.xsd" dtd-version="1.1" xmlns:xlink="http://www.w3.org/1999/xlink" xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance"><front><journal-meta><journal-id journal-id-type="publisher-id">JERA</journal-id><journal-title-group><journal-title>Journal of Electronic Research and Application</journal-title></journal-title-group><issn>2208-3502</issn><eissn>2208-3510</eissn><publisher><publisher-name>Bio-Byword Scientific Publishing Pty. Ltd.</publisher-name></publisher></journal-meta><article-meta><article-id pub-id-type="doi">10.26689/jera.v9i6.13190</article-id><article-categories><subj-group subj-group-type="heading"><subject>Article</subject></subj-group></article-categories><title>Design and Implementation of a Family Private Medical Health Intelligent Management System</title><url>https://artdesignp.com/journal/JERA/9/6/10.26689/jera.v9i6.13190</url><author>ZengYingqing</author><pub-date pub-type="publication-year"><year>2025</year></pub-date><volume>9</volume><issue>6</issue><history><date date-type="pub"><published-time>2025-12-16</published-time></date></history><abstract>With technological advancements, traditional medical models have been unable to meet people’s demands for personalized and convenient medical services. Consequently, the family private medical system has emerged. This system aims to achieve health data monitoring, disease prevention, and personalized medical management for family members. The system is developed using framework technologies such as Spring Boot and Vue, with MySQL as the data storage tool. It enables real-time monitoring of health data, dietary and exercise recommendations for diseases, personalized health management, online consultation, and interactive communication with medical experts, thereby enhancing the convenience and personalization level of medical services.</abstract><keywords/></article-meta></front><body/><back><ref-list><ref id="B1" content-type="article"><label>1</label><element-citation publication-type="journal"><p>Hasani AB, Abdelrahim R, Abdelbasit L, et al., 2025, The Role of Artificial Intelligence in Enhancing the Occupational Safety and Health Management Systems. Current Journal of Applied Science and Technology, 44(7): 151–158.</p><pub-id pub-id-type="doi"/></element-citation></ref><ref id="B2" content-type="article"><label>2</label><element-citation publication-type="journal"><p>Mandowa J, Matsa M, Jerie S, 2025, Challenges Associated with the Implementation of Occupational Safety and Health Management Systems in Manufacturing Industry of Mutare, Zimbabwe. Frontiers in Public Health, 13: 1587769.</p><pub-id pub-id-type="doi"/></element-citation></ref><ref id="B3" content-type="article"><label>3</label><element-citation publication-type="journal"><p>Xiao Y, Wu J, Liu X, et al., 2025, Closed-Loop Health Management System of Relay Protection Device Based on Multi-Modal Perception and Dynamic Target Test, GBP Proceedings Series, SEPET2025, 7–14.</p><pub-id pub-id-type="doi"/></element-citation></ref><ref id="B4" content-type="article"><label>4</label><element-citation publication-type="journal"><p>Abugabah A, Shahid F, Mehmood A, 2024, Health Intelligent Systems Improve Value of Cancer Care and Prognosis: A Proposed Medical System and Model For Disease Management and Detection. Procedia Computer Science, 251: 311–317.</p><pub-id pub-id-type="doi"/></element-citation></ref><ref id="B5" content-type="article"><label>5</label><element-citation publication-type="journal"><p>Ahed A, Farah S, 2023, Intelligent Health Care and Diseases Management System: Multi-Day-Ahead Predictions of COVID-19. Mathematics, 11(4): 1051.</p><pub-id pub-id-type="doi"/></element-citation></ref><ref id="B6" content-type="article"><label>6</label><element-citation publication-type="journal"><p>Li GHZ, 2020, Design and Application of Intelligent Information System for Comprehensive Management of Obstetrics and Gynecology Health Care. Journal of Medical Imaging and Health Informatics, 10(8): 1834.</p><pub-id pub-id-type="doi"/></element-citation></ref><ref id="B7" content-type="article"><label>7</label><element-citation publication-type="journal"><p>Xu J, Sun K, Xu L, 2015, Data Mining–Based Intelligent Fault Diagnostics for Integrated System Health Management to Avionics. Proceedings of the Institution of Mechanical Engineers, Part O: Journal of Risk and Reliability, 229(1): 3–15.</p><pub-id pub-id-type="doi"/></element-citation></ref></ref-list></back></article>
