ICU病员重症潜势预警实验系统设计实现-软件工程专业毕业论文.docx

AbstractIntensive Abstract Intensive care unit 0Ct0 is established as a special ward that provide life-threatening patients with technology and high-quality medical services，and improve the rescue success rate for patients with severe acute．The early mortality prediction is one of the important factors to measure the ICU level．This prediction is usually realized by analyzing a period of monitoring data after admission to hospital． Predicting patient’S disease development accurately not only can optimize the ICU rescue resource allocation，find serious illness early and intervene timely,but also accumulate clinical experience through observe and msearch the disease development, and help pmients pass the crisis soon． The computer information processing technology in the medical research and clinical application of medical data analysis has become the important symbol of modem medicine．Data mining technology is one of the important means of the data processing analysis and has developed rapidly．The rescue medicine of intensive care unit is one of the important applications of data mining technology．nle fast-changing physiological index data of ICU is not only large amount of data,and the rate of change is fast,but the data is the basis of a patient is seriously ill，is also the important basis of early warning system for critical patients potential． Through monitoring the intensive care unit can get a lot of patient physiological indexes data information，how to manage a large number of physiological data in ICU， and how to use these data to do effectively decision analysis is one of the great challenge．The system in this paper provides a research way of thinking for intensive potential warning system experimental research of patient in ICU．This system can manage ICU related data,conduct early warning and decision analysis for physiological indicators，and display physiological index data charts by using Highcharts technology,and importantly help doctors and other research