Text Mining in Support of Decision Making in Health Care

5870 Words24 Pages
The Utilization of Text Mining In Support of Decision Making in Health Care By Cleon Anderson, Shantonu Kundu, and Sam Leiendecker Table of Contents Introduction…………………………………………………………………………….. Page 2 Fundamental Decision-Making Problems under Investigation………………………… Page 3 Process of Knowledge Discovery and Text Mining…………………………………… Page 5 Applications……………………………………………………………………………. Page 7 Misdiagnosis “Text Mining of Medical Records for Radio Diagnostic Decision-Making”….. Page 7 Mistreatment “Improved Cardiac Care via Automated Mining of Medical Patient Records”... Page 10 Bad Prescriptions “Using Text-Mining Technologies in Electronic Patient Records to Identify ADRs from Medicine Use”……………………………………………………………….… Page 15 “Use Of Computer Decision Support Interventions to Improve Medication Prescribing in Older Adults: A Systematic Review”…………………….…….. Page 17 Challenges of Using Text Mining……………………………………………………… Page 18 Advantages of Text Mining for Effective Decision Making in Health Care…………... Page 20 Suggestions & Possible Solutions…………………………………………………….... Page 21 Conclusion…………………………………………………………………………….... Page 22 References……………………………………………………………….…...……….... Page 24 Introduction The healthcare field is vast and complex and requires innovative ways to address the numerous complex problems which come with it. These challenges affect all levels of the healthcare industry including business, scholarly and academic, physician and treatment and patient levels. At each of these critical levels, complex and far reaching decisions are required to be made. The decision making process is further complicated when large amount of data have to be taken into consideration to make the best decision. Over the past several years there has been an enormous amount of data about

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