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Intelligent Medical Data Analytics Using Classifiers and Clusters in Machine Learning

V. Muthukumaran, Satheesh Kumar S., Rose Bindu Joseph, V. Kumar, Akshay K. Uday

2021Advances in computational intelligence and robotics book series16 citationsDOI

Abstract

A privacy-preserving patient-centric clinical decision support system, called PPCD, is based on naive Bayesian classification to help the physician predict disease risks of patients in a privacy-preserving way. First, the authors propose a secure PPCD, which allows the service providers to diagnose a patient's disease without leaking any patient medical data. In PPCD, the past patient's historical medical data can be used by a service provider to train the naive Bayesian classifier. Then, the service provider can use the trained classifier to diagnose a patient's diseases according to his symptoms in a privacy-preserving way. Finally, patients can retrieve the diagnosed results according to their own preference privately without compromising the service provider's privacy.

Topics & Concepts

Naive Bayes classifierComputer scienceService providerAnalyticsMachine learningClassifier (UML)Artificial intelligenceBayesian probabilityService (business)Data miningSupport vector machineEconomicsEconomyArtificial Intelligence in HealthcareMachine Learning in HealthcareAI in cancer detection
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