[HTML][HTML] Decision support systems in healthcare: systematic review, meta-analysis and prediction, with example of COVID-19

HB Khalfallah, M Jelassi, J Demongeot… - AIMS …, 2023 - aimspress.com
We conducted a systematic review using PRISMA (Preferred Reporting Items for Systematic
Reviews and Meta-Analysis) guidelines of articles published until September 2022 from …

Efficient way of heart disease prediction and analysis using different ensemble algorithm: a comparative study

P Duraisamy, Y Natarajan… - 2022 6th International …, 2022 - ieeexplore.ieee.org
This work presents a variety of voting ensemble models to measure human heart disease.
This work aims to give confidence to doctors to diagnose heart disease accurately. S o that …

An Integrated Approach to Next-Generation Telemedicine and Health Advice Systems Through AI Applications in Disease Diagnosis

R Komalasari, A Khang - Driving Smart Medical Diagnosis Through …, 2024 - igi-global.com
This chapter explores the transformative potential of integrating knowledge engineering and
artificial intelligence in healthcare, focusing on constructing a knowledge-based clinical …

[PDF][PDF] A differentially private distributed collaborative XGBoost method

X Li, S Li, H Xu, Y Zhang - Electronic Research Archive, 2024 - aimspress.com
With the rapid progress of artificial intelligence (AI) technology in medical scenarios, it
becomes a trend for medical services to adopt various AI algorithms for auxiliary diagnosis …

[PDF][PDF] A Case Study with 8ML Algorithms for Heart Disease Diagnosis

SS Kokil, S Bhoite - 2024 - researchgate.net
Now a days, Heart Disease (HD) has become a significant worldwide challenge, creating a
need for early detection and intervention. Machine learning (ML) techniques are used …