A Delivery Framework for Health Data Mining and Analytics

۰ تومان

The iHealth Explorer tool, developed by CSIRO and DoHA, delivers web services type data mining and analytic facilities over a web interface, providing desktop access to sophisticated analyses over very large data collections. The tool allows users to access large transactional datasets to create profiles of selected patients. The patients’ profiles, together with windowed event sequences data, can then be analyzed using a user chosen data mining tool. The results of the analysis can then be visualized using various forms of knowledge representation methods. Although the initial implementation of the tool is focused on its application in adverse drug reaction exploration, this tool and the embedded data mining tools can be used in broad areas of health data analysis

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توضیحات

ABSTRACT

The iHealth Explorer tool, developed by CSIRO and DoHA, delivers web services type data mining and analytic facilities over a web interface, providing desktop access to sophisticated analyses over very large data collections. The tool allows users to access large transactional datasets to create profiles of selected patients. The patients’ profiles, together with windowed event sequences data, can then be analyzed using a user chosen data mining tool. The results of the analysis can then be visualized using various forms of knowledge representation methods. Although the initial implementation of the tool is focused on its application in adverse drug reaction exploration, this tool and the embedded data mining tools can be used in broad areas of health data analysis

INTRODUCTION

As storage capacity increases exponentially, more and more transactional data is being collected by various
industries. The health industry is no exception. For example, there are 5.7 million hospital admissions 210 million doctor’s visits, and a similar number of,prescribed medicines dispensed in Australia annually. Records of all of the above listed transactions are captured electronically. There are trillions of medical records stored world wide every year. Unfortunately, such valuable available data is not being appropriately utilized to provide useful evidence as a basis for future medical practice

Year : 2005

Publisher : Australasian Computer Science Conference, The University of Newcastle, Australia

By : Damien McAullay , Graham Williams , Jie Chen , Huidong Jin , Hongxing He , Ross Sparks , Chris Kelman

File Information : English Language / 7 Page / Size : 431 KB

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سال : 2005

ناشر : Australasian Computer Science Conference, The University of Newcastle, Australia

کاری از : Damien McAullay , Graham Williams , Jie Chen , Huidong Jin , Hongxing He , Ross Sparks , Chris Kelman

اطلاعات فایل : زبان انگلیسی / 7 صفحه / حجم : 431 KB

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