Healthcare Monitoring using Machine Learning Based Data Analytics

In this paper, we develop a machine learning based healthcare monitoring and analytics from various Internet of Medical Things (IoMT) devices for possible prediction of cardiovascular risk in patients. The study uses random forest for feature selection and then the fuzzy logic classifier is used for...

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Bibliographic Details
Published inInternational journal of computers, communications & control Vol. 18; no. 1
Main Authors Janani, S R, Subramanian, R, Karthik, S, Vimalarani, C
Format Journal Article
LanguageEnglish
Published Oradea Agora University of Oradea 01.02.2023
Subjects
Classification
Data analysis
Fuzzy logic
Health care
Heart diseases
Internet of medical things
Machine learning
Mathematical analysis
Monitoring
Telemedicine
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Summary:In this paper, we develop a machine learning based healthcare monitoring and analytics from various Internet of Medical Things (IoMT) devices for possible prediction of cardiovascular risk in patients. The study uses random forest for feature selection and then the fuzzy logic classifier is used for prediction of Cardio Vascular Disease (CVD). The simulation is conducted to test the efficacy of the proposed machine learning based data analytics model over various other methods. The results show than the proposed method has higher rate of classification accuracy in classifying the CVD with higher recall and F1-score than other methods.
ISSN:1841-9836
1841-9844
DOI:10.15837/ijccc.2023.1.4973