首页|基于最优路径算法的陪诊平台的设计与实现

基于最优路径算法的陪诊平台的设计与实现

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  • NETL
  • NSTL
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随着人们生活水平的提高和医疗服务需求的增加,陪诊服务在医疗领域中变得越来越重要.然而,传统的陪诊方式存在时间成本高、资源浪费等问题.为了解决这些问题,文章设计并实现一种基于最优路径算法的陪诊微信小程序,通过分析患者就诊需求、医生排班信息和医疗资源分布等因素,构建一个陪诊服务网络,同时采用最优路径算法,在网络图中找到最短路径,确定最佳的陪诊方案.在陪诊平台中使用数据库技术,用以实现存储和管理用户数据与相关信息功能.此外,陪诊平台还可以通过机器学习算法,对患者的就诊历史进行分析,为医生提供更准确的诊断建议.
Design and Implementation of a Companion Diagnosis PlatformBased on Optimal Path Algorithm
With the improvement of people's living standards and the increasing demand for medical services,accompanying diagnosis services have become increasingly important in the medical field.However,traditional methods of accompanying diagnosis suffer from high time costs and resource wastage.In order to address these issues,this paper designs and implements a WeChat mini-program for accompanying diagnosis based on the optimal path algorithm.By analyzing factors such as patient's medical needs,doctor's scheduling information,and distribution of medical resources,a network for accompanying diagnosis services is constructed.The optimal path algorithm is used to find the shortest path in the network graph and determine the best accompanying diagnosis plan.This paper employs database technology in the accompanying diagnosis platform to store and manage user data and relevant information.Additionally,the platform can also analyze the patient's medical history using machine learning algorithms to provide more accurate diagnostic suggestions for doctors.

accompanying diagnosis platformoptimal path algorithmdatabase technologymachine learning algorithmWeChat mini-program

舒心怡、陈枢茜、沈昕、王爱裕、董宸铭

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南通理工学院计算机与信息工程学院,江苏南通 226000

陪诊平台 最优路径算法 数据库技术 机器学习算法 微信小程序

江苏省高等学校大学生创新创业训练计划项目江苏省高校基础科学(自然科学)研究基金面上资助经费项目南通理工学院科研项目南通理工学院中青年骨干教师培养专项江苏省高校哲学社会科学研究项目江苏省高校哲学社会科学研究项目

202312056040Y22KJB5200322022XKJ16ZQNGGJS2022252022SJYB17582023SJYB1720

2024

信息与电脑
北京电子控股有限责任公司

信息与电脑

影响因子：1.143
ISSN：1003-9767
年,卷(期)：2024.36(1)
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