Mars500志愿者健康状态中医监测数据分析  

Analysis on TCM Monitoring Data of Healthy Status Collected from Mars500 Volunteers

作　　者：李勇枝[1] 李国正[2] 高建义[1] 张志枫[3] 范全春[1] 许家佗[3] 白桂娥[1] 陈凯先[3] 石宏志[1] 孙胜[2] 刘宇[1] 陈家昌[2] 米涛[1] 贾新红 赵爽[1] 邵峰峰 刘军莲[1] 郭雨萌[2] 

机构地区：[1]中国航天员科研训练中心,北京100094 [2]同济大学控制科学与工程系,上海201804 [3]上海中医药大学,上海201203 [4]上海道生医疗科技有限公司,上海201203

出　　处：《计算机工程》2014年第9期13-18,22,共7页Computer Engineering

基　　金：国家自然科学基金资助项目(61273305)

摘　　要：为研究航天员如何适应长期密闭环境对人体健康(生理、心理、精神)和机体功能的挑战,提出一种基于多标记学习的证候诊断模型。采用中医"望、闻、问、切"的方法,采集长期密闭环境下人体生命活动的状态数据,并运用数据挖掘方法研究、阐释其特点及变化规律。实验结果表明,该融合数据分类模型能达到80%的平均分类精度。In order to study that spacemen how to adapt to challenges which longtime closed environment brings to human health（physiology,psychology,spirit）and bodily function,a differentiation model based on multi-label learning is proposed. This paper adopts＂inspection,auscultation and olfaction,inquiry and pulse-taking＂diagnose methods of Traditional Chinese Medicine（TCM）to collect human life activity state data in longtime closed environment. It uses data mining methods to study and explain its characteristics and varying patterns. Average precision of classification model built by fusion data reaches80% in the experiment.

关 键 词：航天 密闭环境 中医 数据挖掘 特征选择 

分 类 号：TP311.13[自动化与计算机技术—计算机软件与理论]