This paper builds a Bayesian inference network model based on the Rough Sets and Reason Rules and apply it to fulfill the medical data mining work.
本文构建了一个基于粗糙集和规则推理的贝叶斯网模型，并将其运用于现实病历数据进行挖掘工作。
In this paper, combines characteristics of medical data, discusses basic process in medical data mining primarily, introduces algorithms in common use and application of medical field.
本文结合医学数据的特点，初步探讨了医学数据挖掘的基本过程，并介绍了医学数据挖掘的常用算法及其在医学领域中的应用。
They can apply the data mining techniques for very large databases that they learn to research in the medical and biotechnology industries, along with many others.
他们能够将数据挖掘技术应用到医学和生物学领域中的大型数据库中。
Decision tree algorithms are applied to the data mining of the mammography classification, proposes a medical images classifier based on decision tree algorithm, the experiment results are given.
利用决策树算法对乳腺癌图像数据进行分类，实现了一个基于决策树算法的医学图像分类器，获得了分类的实验结果。
This paper introduces data mining technology, its application in medical care system, and data mining application in Gravida and Puerpera Management Information system.
介绍数据挖掘技术及其在医疗保健中的应用，以及数据挖掘在孕产妇管理信息系统中的应用。
For modeling of medical ward based on data fusion and data mining, multi - layer perceptron network and decision trees are used.
在结合数据融合和数据挖掘的医疗监护模型的建模方面，采用多层感知器网络和决策树方法建立报警决策器的模型。
Data mining based medical image classification methods is an important component of multimedia data mining.
基于数据挖掘的医学图像分类方法研究是多媒体数据挖掘的一个重要组成部分。
This article focuses on applications of data mining technology in industrial production, business, networking, medical areas, and introduces some successful application cases.
本文主要阐述了数据挖掘技术在工业生产、商业、网络、医药这四个方面的应用，并介绍了一些成功的应用案例。
This paper researches medical image data objects and those data mining from theory, algorithm and application three facts.
论文以医学图像数据为研究对象，从理论、算法和应用三个方面进行医学图像数据挖掘研究。
Currently, it is at the germ of mining medical image data and there are a lot of problems by applying existing mining methods directly to medical images.
目前，面向医学图像的数据挖掘研究刚刚起步，现有的数据挖掘方法直接应用于医学图像还存在许多问题。
Though the application of data mining in medical field just began. it is certain that the method will be widely used in medical field with the popularization of data mining.
目前数据挖掘技术在医学领域的应用尚处于起步阶段，但随着该方法的日益普及，其必将在医学领域得到更加广泛的应用。
Her expertise includes consumer health informatics, medical text mining, data integration, and internet user behavior analysis.
致力于公众健康信息学、医学文本挖掘、数据整合、互联网用户行为分析等技术的研发。
Because the HL7 standard has just proposed and is also in the process of further consummation, electronic medical record data extract and pattern mining have been studied little.
由于HL7标准提出不久，且还处于进一步完善的过程中，电子病历数据抽取和模式挖掘在国内外都少有研究。
Results The decision tree algorithm ID3 and C4.5 for medical image data mining are realized, the experiment results are given.
结果实现了ID3和C4.5算法对图像数据的分类，获得了分类的实验结果。
Methods decision tree algorithms are applied to the data mining of the mammography classification, proposes a medical images classifier based on decision tree algorithm.
方法利用决策树算法对乳腺癌图像数据进行分类，提出了一个基于决策树算法的医学图像分类器。
Emphatically expounds the common crowd of medical chronic disease of association rule mining method of data. 5 and the paper's work was summarized, and the next research is prospected.
重点阐述了对体检人群中常见的慢性病发病的关联规则的数据挖掘方法的实现。5、对论文的工作进行总结，并对研究的下一步工作进行了展望。
Precision Medicine relies on advent medical imaging technique, fusion of multi-modality medical imaging and information, and large-scale data mining on medical cases.
医学成像新技术、多模态医学成像的图像与信息融合、大数据病例的挖掘，是实现临床精准医疗的重要工程基础。
The experimental results are shown and the experimental system achieves high accuracy. indicating the great potential of data mining in assistant medical treatment.
实验结果表明，该模型系统达到了较高的分类准确率。
This research work is a part of the Research of Data Mining on Medical Image supported by the National Natural Science Foundation of China.
本项研究是受国家自然科学基金资助的，课题名为“基于医学图像数据挖掘技术的研究”。
This research work is a part of the Research of Data Mining on Medical Image supported by the National Natural Science Foundation of China.
本项研究是受国家自然科学基金资助的，课题名为“基于医学图像数据挖掘技术的研究”。
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