|
| COMPUTERS IN RADIOLOGY |
 |
|
|
| Year : 2014 |
Volume
: 24 | Issue : 2 | Page
: 97-102 |
|
Data mining in radiology
Amit T Kharat, Amarjit Singh, Vilas M Kulkarni, Digish Shah
Dr. D Y Patil University, Pimpri, Pune, Maharashtra, India
Correspondence Address:
Amit T Kharat
Dr. D Y Patil University, Sant Tukaram Nagar, Pimpri, Pune - 410 018, Maharashtra
India
 Source of Support: None, Conflict of Interest: None  | Check |
DOI: 10.4103/0971-3026.134367
|
|
|
Data mining facilitates the study of radiology data in various dimensions. It converts large patient image and text datasets into useful information that helps in improving patient care and provides informative reports. Data mining technology analyzes data within the Radiology Information System and Hospital Information System using specialized software which assesses relationships and agreement in available information. By using similar data analysis tools, radiologists can make informed decisions and predict the future outcome of a particular imaging finding. Data, information and knowledge are the components of data mining. Classes, Clusters, Associations, Sequential patterns, Classification, Prediction and Decision tree are the various types of data mining. Data mining has the potential to make delivery of health care affordable and ensure that the best imaging practices are followed. It is a tool for academic research. Data mining is considered to be ethically neutral, however concerns regarding privacy and legality exists which need to be addressed to ensure success of data mining. |
|
|
|
| [FULL TEXT] [PDF]* |
|
 |
|
