Research On Medical Data Mining Based On Neural Networks

Along with the increasing development and popularization of computer applications' techniques, the capabilities of both generating and collecting data of every walk of life have been increasing rapidly. The number of data is growing day by day, so a great deal of data is described as "data abundance, but information indigence ". A great deal of data that is increasing rapidly have been collected and deposited in databases, data warehouses and other information databases. Having no powerful tool, comprehending them has been already beyond person's ability by far. As a result, the data that has been collected and saved in these sources became the data "grave". In this way, much important decision is not based on these abundant data but based on the intuition of decision-makers, because these decision-makers lack necessary tools that can discover useful knowledge from a great deal of data. In addition, considering the current expert system techniques, the expert systems depend on users or experts to input the knowledge into the knowledge bases artificially. Unfortunately, this process usually contains deviation and error, and consumes a great deal of time, and the expense is very high. Analyzing data using the tools of data mining can discover important data mode, and can make enormous contribution to business, knowledge base, science studies and medical science. All in all, a great gulf fixed request to exploit the tools of data mining, and convert the data "grave" to knowledge "gold ". At present, as one of the most valid means settling the status of "data Bangs " but " information lacks" that the business enterprise information systems are faced. Data mining comes in for maximum attention of academia and enterprise.Lately, the research of medical treatment engineering makes a fast and fierce development. The exaltation of the techniques in measuring instrument make a great deal of medical treatment information be recorded down accurately, and this lead to the fierce increasing of medical treatment data. Especially, along with the gradual usage of medical treatment information systems in each big hospital, the patient information that is collected in hospital not only includes the medical treatment image and all kinds of physiology signs, but also includes a great deal of detailed background information, such as person's age, sex, height, weight, and the history of illness. Further more, the data that each big hospital collected further gathers again, so this data that gathered is very huge and is true data of the patient. Understanding the correlations contained in every kind of diseases and the developing regulation of every kind of diseases, summing up every kind of treatment effect of every kind of treatment project has great value and prospect to the diagnosis and treatment with diseases and to the research of medical science.Different from the medical treatment expert system that is limited to special knowledge of one field, the medical data mining system provides importance knowledge and decision for the whole medical databases or medical information databases, and is a very important part of medical treatment decision and support system. Because of the particularity and complexity that medical treatment data has, comparing to the general data mining system, the medical data mining system has higher request in the universality of mining objects, the high efficiency of mining algorithms, and the veracity of knowledge and decision. Among the methods of medical data mining, artificial neural networks, rough sets, genetic algorithm, fuzzy logic and support vector machine etc display the special and superior and are used abroad. This paper thoroughly researched the techniques of medical data mining based on the neural networks, and the main work of this paper is:1) Basing on reading and digesting a lot of related and domestic and international literatures, the paper summarized the main characteristics, basic process, key techniques, calculations intelligence methods, development directions of medical...