蚁群优化算法
计算机科学
块链
服务(商务)
智能合约
可追溯性
一致性(知识库)
付款
节点(物理)
过程(计算)
人口
蚁群
计算机安全
算法
运筹学
数据挖掘
分布式计算
人工智能
医学
工程类
业务
万维网
软件工程
营销
操作系统
环境卫生
结构工程
作者
Xiang Gao,Yipeng Zhang
摘要
To guide the more reasonable and fair allocation of medical resources, to solve the problem of fee prices negotiated by various subjects in the medical and health system and patient payment, and to solve the problem of how to ensure the privacy, accuracy, consistency and traceability of data in the process of collecting patient information in each hospital, according to the operation process of a remote consultation service, a decentralized remote intelligent consultation blockchain model is proposed. The model uses the improved ant colony algorithm under a smart contract and studies the practicality of the improved ant colony algorithm on the multi-node remote consultation service simulation platform. According to the experimental analysis results, the improved ant colony algorithm can automatically execute and effectively match the target population under the smart contract.
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