Clinical Data Analysis of Patient and Recommendation

Volume 20 No 6 (2022)

Swati Shekapure, Nitin Shekapure,Gulbakshee J. Dharmale,Madhuri B. Thorat

DOI: 10.14704/nq.2022.20.6.NQ22619

Abstract

Appropriate analysis of clinical documentation on patient health predictsthe likelihood of developing a variety of illnesses. In addition, obtaining information about the specialist for that particular disease according to requirements facilitates proper and efficient diagnosis. This research work provides a new method using a naive Bayes, Decision tree and random forest classification algorithm for predicting disease, followed by expert recommendations for predicted disease

Keywords

Machine Learning, Data mining, Decision Tree classifier, Random Forest classifier, Naive Bayes classifier, Doctor Performance, Patient Preferences, Recommendation Algorithm

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