A Novel Artificial Spider Monkey Based Random Forest Hybrid Framework for Monitoring and Predictive Diagnoses of Patients Healthcare

A Novel Artificial Spider Monkey Based Random Forest Hybrid Framework for Monitoring and Predictive Diagnoses of Patients Healthcare

Early diagnosis of diseases such as cancer, cardiovascular, diabetes, HIV, AIDS, Lyme, and tuberculosis can enable timely treatment, which enhances efficacy and helps reduce the severity and mortality while lowering overall healthcare costs. Predictive analytics is an emerging approach that comprehe...

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Bibliographic Details
Main Authors: Reyazur Rashid Irshad, Shahid Hussain, Ihtisham Hussain, Ahmed Abdu Alattab, Adil Yousif, Omar Ali Saleh Alsaiari, Elshareef Ibrahim Idrees Ibrahim
Format: Article
Language:English
Published: IEEE 2023-01-01
Series:IEEE Access
Subjects:
Health monitoring
hybrid IoT framework
identity-based encryption
meta-heuristic
predictive analytics
random forest
Online Access:https://ieeexplore.ieee.org/document/10189805/

Internet

https://ieeexplore.ieee.org/document/10189805/

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