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A Data Privacy Preserving Mechanism for a Distributed Clinical Decision Support System

Authors: ADEBAYO Adewale

Publication Type: Conference proceedings

Journal: 2nd International Conference On Intelligent Computing And Emerging Technologies

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Abstract

Privacy in the healthcare sector is an issue of growing importance. The adoption of digital patient records, increased regulation, provider consolidation and the increasing need for information exchange between patients, providers and payers, all point towards the need for better security and protection of patient data. This study proposes a mechanism for preserving data privacy by ensuring the protection of patient data in a distributed clinical decision support system using the Random Forest decision tree algorithm. This mechanism facilitates knowledge building using statistics based on patient data from multiple sites. The results of experiments performed by inducing the SCHIZO data set of patients from Biomedical Informatics Research Network (BIRN) with three types of decision tree classification algorithms (J48, Random Tree and Random Forest) embedded in the Waik

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ADEBAYO,A. . (0000). A Data Privacy Preserving Mechanism for a Distributed Clinical Decision Support System, 2 (), 90-90.

ADEBAYO,A. . "A Data Privacy Preserving Mechanism for a Distributed Clinical Decision Support System" 2, no (), (0000): 90-90.

ADEBAYO,A. and . (0000). A Data Privacy Preserving Mechanism for a Distributed Clinical Decision Support System, 2 (), pp90-90.

ADEBAYOA, . A Data Privacy Preserving Mechanism for a Distributed Clinical Decision Support System. 0000, 2 ():90-90.

ADEBAYO,Adewale , . "A Data Privacy Preserving Mechanism for a Distributed Clinical Decision Support System", 2 . (0000) : 90-90.

A.Adewale , "A Data Privacy Preserving Mechanism for a Distributed Clinical Decision Support System" vol.2, no., pp. 90-90, 0000.

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