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Retraction Note: A Robust Decision Support System for Wireless Healthcare Based on Hybrid Prediction Algorithm.

Journal of medical systems·2022

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A Robust Decision Support System for Wireless Healthcare Based on Hybrid Prediction Algorithm.

Neelam Sanjeev Kumar¹, P Nirmalkumar²

¹Electronics and Communication Engineering, Anna University, Guindy, Chennai, India. neelamsanjeev1034@gmail.com.

Journal of Medical Systems

|May 9, 2019

Summary

This study introduces an algorithm using principle component analysis (PCA) and support vector machine (SVM) to predict elderly health status from healthcare data. The method enhances data analysis efficiency and accuracy for electronic health records (EHRs).

Keywords:

EHR Elderly Healthcare Machine learning PCA SVM

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Area of Science:

Health Informatics
Machine Learning in Healthcare
Geriatric Care Technology

Background:

Healthcare data analysis is complex due to large volumes of unlabelled information.
Predicting the health status of the elderly is crucial for timely interventions.

Purpose of the Study:

To propose an algorithm that reduces complexity in healthcare data analysis.
To predict the health status of the elderly using PCA and SVM.
To develop a smart, adaptive data module for remote EHR procurement and transmission.

Main Methods:

Utilized principle component analysis (PCA) and support vector machine (SVM) for health status prediction.
Implemented feature selection using SVM-based enhanced recursive feature determination.
Developed a mobile data exchange module using Raspberry Pi for EHR transmission.

Main Results:

The proposed algorithm's performance was assessed using F-measure and compared against traditional classifiers.
SVM-based enhanced recursive feature determination showed improved precision.
A portable data module facilitated remote EHR procurement and transmission.

Conclusions:

The proposed algorithm effectively predicts elderly health status, reducing data analysis complexity.
The developed system supports remote EHR monitoring and transmission, enhancing geriatric care.
This approach offers a more efficient and accurate method for analyzing healthcare data.