title: Data mining in radiology.
abstract: 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.
authors.affiliation: Dr. D Y Patil University, Pimpri, Pune, Maharashtra, India.
authors.forename: Amit T
authors.initials: AT
authors.lastname: Kharat
authors.affiliation: Dr. D Y Patil University, Pimpri, Pune, Maharashtra, India.
authors.forename: Amarjit
authors.initials: A
authors.lastname: Singh
authors.affiliation: Dr. D Y Patil University, Pimpri, Pune, Maharashtra, India.
authors.forename: Vilas M
authors.initials: VM
authors.lastname: Kulkarni
authors.affiliation: Dr. D Y Patil University, Pimpri, Pune, Maharashtra, India.
authors.forename: Digish
authors.initials: D
authors.lastname: Shah
keywords: Data; data mining; hospital information system; information; knowledge; knowledge discovery; radiology; radiology data analysis; radiology information system