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。
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.
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。
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.
这些问题的示例包括天气预报、数据挖掘、遗传和生物医学工程，及人工智能应用。
A sampling of these include weather prediction, data mining, genetic and biomedical engineering, and artificial intelligence applications. 5.
将关联规则挖掘引入医学资料的分析之中，弥补传统统计学方法的不足，最大可能地获取数据中含有的信息是本研究的目的。
Introducing association rules into the analysis of medical data, making up statistics methods, and getting rich information possibly are the main aim of the study.
目的研究决策树算法在医学图像数据挖掘中的应用。
Aim To study the application of decision tree algorithm for medical image data mining.
研究模糊聚类分析在医学图像数据挖掘中的应用。
To study the application of fuzzy cluster analysis for medical image data mining.
介绍了数据挖掘的基本原理以及在医学领域的应用。
The paper introduces the basic principles of data mining and its application in medical science.
目的探讨数据挖掘技术在医学药学中的应用。
Objective To discuss the application of data mining technique in hospital pharmacy.
结论：1数据挖掘技术有助于中医学发现新知识或被忽视的内容。
Conclusion: 1 Some new or neglected knowledge of TCM could be find out by data mining technique.
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。
Her expertise includes consumer health informatics, medical text mining, data integration, and internet user behavior analysis.
数据挖掘对医学数据分析具有非常重要的意义。
Nowadays, data mining plays an important role in medical data analysis.
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。
Data mining based medical image classification methods is an important component of multimedia data mining.
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。
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.
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。
This paper researches medical image data objects and those data mining from theory, algorithm and application three facts.
目的：挖掘出海量医学图像中数据的关联关系。
Objective: the purpose of this study was to mine the correlative relationship between massive amounts of medical image data.
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。
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.
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.
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。
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。
Precision Medicine relies on advent medical imaging technique, fusion of multi-modality medical imaging and information, and large-scale data mining on medical cases.
应用推荐