Open Access Open Access  Restricted Access Subscription Access
Open Access Open Access Open Access  Restricted Access Restricted Access Subscription Access

Finding Pattern in Medical Database


Affiliations
1 Department of Computer Science, Govt. Arts College for Women, Salem-08, India
2 Department of Computer Application, Soka Ikeda College of Arts and Science, Ch-99, India
3 Department of Computer Science, New College, Royapettha-14, India
4 Department of Computer Science, Dravidian, Kuppam-517425, AP, India
     

   Subscribe/Renew Journal


Data mining has been heavily used in the medical fields, to include patient diagnosis records. Data and text mining is refers to extracting knowledge from large amount of data. It also allows users to analyze data from different dimensions. It can be great assistance to the modern information. Mining means finding patterns or trends in large data sets. Finding Pattern from hospital database (cancer database).which is designed particularly to help doctors (e.g. name, sex, address, phone number and result). Unlike the existing systems that provide the disease effected attributes are represented in the numeric format the minimum value was 5 and the maximum are 10. The concepts are presented to the user in a tabular format (report) and the report based on the result of disease. The queries are very short which enable user to click the report command to issue a flexible report even when the databases are very large. Text Mining is the automated or partially automated processing of text. The Healthcare industry is among the most information intensive industries. Medical information, knowledge and data keep growing on a daily basis. Medical informatics plays a very important role in the use of clinical data. In such discoveries pattern recognition is important for the diagnosis of new diseases and the study of different patterns found when classification of data takes place.

Keywords

Textmining, Data, Rule Mining, Beginning, Crucial.
User
Subscription Login to verify subscription
Notifications
Font Size

Abstract Views: 156

PDF Views: 2




  • Finding Pattern in Medical Database

Abstract Views: 156  |  PDF Views: 2

Authors

V. Karthikeyani
Department of Computer Science, Govt. Arts College for Women, Salem-08, India
I. Parvin Begum
Department of Computer Application, Soka Ikeda College of Arts and Science, Ch-99, India
K. Tajudin
Department of Computer Science, New College, Royapettha-14, India
I. Shahina Begam
Department of Computer Science, Dravidian, Kuppam-517425, AP, India

Abstract


Data mining has been heavily used in the medical fields, to include patient diagnosis records. Data and text mining is refers to extracting knowledge from large amount of data. It also allows users to analyze data from different dimensions. It can be great assistance to the modern information. Mining means finding patterns or trends in large data sets. Finding Pattern from hospital database (cancer database).which is designed particularly to help doctors (e.g. name, sex, address, phone number and result). Unlike the existing systems that provide the disease effected attributes are represented in the numeric format the minimum value was 5 and the maximum are 10. The concepts are presented to the user in a tabular format (report) and the report based on the result of disease. The queries are very short which enable user to click the report command to issue a flexible report even when the databases are very large. Text Mining is the automated or partially automated processing of text. The Healthcare industry is among the most information intensive industries. Medical information, knowledge and data keep growing on a daily basis. Medical informatics plays a very important role in the use of clinical data. In such discoveries pattern recognition is important for the diagnosis of new diseases and the study of different patterns found when classification of data takes place.

Keywords


Textmining, Data, Rule Mining, Beginning, Crucial.