M.Vijayalakshmi , V. Vallinayagi
Data Mining is a technique that supports biomedical community and allows new assertions to be made in large volume of Genetic Data sets stored in Genetic Databases. Genetic Databases is a collection of person’s personal data relating to the genetic characteristics of an individual concerning health and physiology. Analysing Genetic Data can help to understand the function of human body and reveals new knowledge on human health care. There is 99.5% similarity in the Genetic Pattern among humans. Most human diseases have genetic components such as obesity, hypertension, diabetes, heart diseases, psychiatric problems, and cancers. Analysis of Genetic Data is a growing field, which has the key to the treatment of many diseases. Data Mining techniques can be more efficiently used to organize and analyze the Genetic Data than traditional methods because Genetic databases are complex to analyze. Applying Data Mining techniques on Genetic Data sets can help to improve human health care and also help to reveal health issues like drug reaction and side efforts, etc.In this paper we discuss about the Data Mining applications based on Genetic Data and limitations of applying Data Mining on Genetic Databases.
Data Mining, Genetic Data, Genetic Databases, Genetic Pattern, Health Care.