Integrating artificial intelligence into the modernization of traditional Chinese medicine industry: a review
E Zhou, Q Shen, Y Hou - Frontiers in Pharmacology, 2024 - frontiersin.org
Traditional Chinese medicine (TCM) is the practical experience and summary of the
Chinese nation for thousands of years. It shows great potential in treating various chronic …
Chinese nation for thousands of years. It shows great potential in treating various chronic …
Machine and deep learning techniques for the prediction of diabetics: a review
Diabetes has become one of the significant reasons for public sickness and death in
worldwide. By 2019, diabetes had affected more than 463 million people worldwide …
worldwide. By 2019, diabetes had affected more than 463 million people worldwide …
[HTML][HTML] A robust predictive diagnosis model for diabetes mellitus using Shapley-incorporated machine learning algorithms
With the rapid advancement and integration of Artificial Intelligence (AI) in medicine, the
need for new developments and accuracy in Machine Learning (ML) models and algorithms …
need for new developments and accuracy in Machine Learning (ML) models and algorithms …
[HTML][HTML] Mine-first association rule mining: An integration of independent frequent patterns in distributed environments
B Mudumba, MF Kabir - Decision Analytics Journal, 2024 - Elsevier
Association rule mining is a widely used data mining technique in various domains. It
enables the identification of trends, frequent patterns, and relationships among the data …
enables the identification of trends, frequent patterns, and relationships among the data …
Analyzing classification and feature selection strategies for diabetes prediction across diverse diabetes datasets
J Kaliappan, IJ Saravana Kumar… - Frontiers in Artificial …, 2024 - frontiersin.org
Introduction In the evolving landscape of healthcare and medicine, the merging of extensive
medical datasets with the powerful capabilities of machine learning (ML) models presents a …
medical datasets with the powerful capabilities of machine learning (ML) models presents a …
Enhanced abnormal data detection hybrid strategy based on heuristic and stochastic approaches for efficient patients rehabilitation
Over the last few years, substantial research has been conducted towards developing
efficient abnormal detection techniques while considering efficiency, accuracy, high …
efficient abnormal detection techniques while considering efficiency, accuracy, high …
Diabetes prediction model using machine learning techniques
Diabetes has emerged as a significant global health concern, contributing to various severe
complications such as kidney disease, vision loss, and coronary issues. Leveraging …
complications such as kidney disease, vision loss, and coronary issues. Leveraging …
Integrating Innovation in Healthcare: The Evolution of" CURA's" AI-Driven Virtual Wards for Enhanced Diabetes and Kidney Disease Monitoring
M Aljaafari, E Shorouk, AA Hany, SE Sorour - IEEE Access, 2024 - ieeexplore.ieee.org
The healthcare sector faces intricate challenges that demand innovative solutions to
enhance patient outcomes and streamline operations. The advent of Artificial Intelligence …
enhance patient outcomes and streamline operations. The advent of Artificial Intelligence …
A federated learning-inspired evolutionary algorithm: Application to glucose prediction
In this paper, we propose an innovative Federated Learning-inspired evolutionary
framework. Its main novelty is that this is the first time that an Evolutionary Algorithm is …
framework. Its main novelty is that this is the first time that an Evolutionary Algorithm is …
An automated approach to predict diabetic patients using KNN imputation and effective data mining techniques
Diabetes is thought to be the most common illness in underdeveloped nations. Early
detection and competent medical care are crucial steps in reducing the effects of diabetes …
detection and competent medical care are crucial steps in reducing the effects of diabetes …