Data Mining In Medical Science

Data Mining Techniques Used In Medical Science

Er. Chirag

Asst. Professor (Computer Science Department)

RPS Degree College, Mahendergarh, Haryana, India

[e-mail]

ABSTRACT

Data mining is the process of discovering information through large set of database and transform it into a understandable structure for further use, it can help researchers gain both narrative and deep insights of exceptional understanding of large biomedical datasets. Manually analyzing, classifying, and summarizing the data is impossible because of the unbelievable increase in data. Data mining can display new biomedical and healthcare knowledge for clinical decision making. Medical analysis is very important but complex problem that should be performed

Many other terms are being used to interpret data mining, such as knowledge mining from databases, knowledge extraction, data analysis, and data archaeology. Data mining is one of the provoking and significant areas of research. Data mining is implicit and non-trivial task of identifying the viable, novel, inherently efficient and perspicuous patterns of data. Figure 1 represents the data mining as part of KDD process. The hidden relationships and trends are not precisely distinct from reviewing the data. Data mining is a multi-level process involves extracting the data by retrieving and assembling them, data mining algorithms, evaluate the results and capture them. Data Mining is also revealed as necessary process where bright methods are used to extract the data patterns by passing through miscellaneous data mining

This paper summarizes vital growth in neural network classification analysis. In medical field, the neural network manipulates the predictive decision making by the described set of rules. Neural network provide powerful mechanism to help the physicians to review, model and make sense of complex clinical data across medical applications. [6] [9]

The first artificial neuron was produced in 1943 by the neurophysiologist Warren McCulloch and the logician Walter Pits. But the technology available at that time did not allow them to do too much.

2.1.2 Why use neural networks?

Neural networks, with their remarkable ability to derive meaning from complicated or imprecise data, can be used to extract patterns and detect trends that are too complex to be noticed by either humans or other computer techniques. A trained neural network can be thought of as an "expert" in the category of information it has been given to analyze. This expert can then be used to provide projections given new situations of interest and answer "what if “questions.

Other advantages include:

1. Adaptive learning: An ability to learn how to do tasks based on the data given for training or initial