Brain tumor segmentation based on optimized convolutional neural network and improved chimp optimization algorithm

Computers in Biology and Medicine, Journal Year: 2023, Volume and Issue: 168, P. 107723 - 107723

Published: Nov. 19, 2023

Language: Английский

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Chaotic RIME optimization algorithm with adaptive mutualism for feature selection problems

Computers in Biology and Medicine, Journal Year: 2024, Volume and Issue: 179, P. 108803 - 108803

Published: July 1, 2024

Language: Английский

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Revolutionizing Cardiology through Artificial Intelligence—Big Data from Proactive Prevention to Precise Diagnostics and Cutting-Edge Treatment—A Comprehensive Review of the Past 5 Years

Diagnostics, Journal Year: 2024, Volume and Issue: 14(11), P. 1103 - 1103

Published: May 26, 2024

Background: Artificial intelligence (AI) can radically change almost every aspect of the human experience. In medical field, there are numerous applications AI and subsequently, in a relatively short time, significant progress has been made. Cardiology is not immune to this trend, fact being supported by exponential increase number publications which algorithms play an important role data analysis, pattern discovery, identification anomalies, therapeutic decision making. Furthermore, with technological development, have appeared new models machine learning (ML) deep (DP) that capable exploring various cardiology, including areas such as prevention, cardiovascular imaging, electrophysiology, interventional many others. sense, present article aims provide general vision current state use cardiology. Results: We identified included subset 200 papers directly relevant research covering wide range applications. Thus, paper presents arithmology, clinical or emergency procedures summarized manner. Recent studies from highly scientific literature demonstrate feasibility advantages using different branches Conclusions: The integration cardiology offers promising perspectives for increasing accuracy decreasing error rate efficiency practice. From predicting risk sudden death ability respond cardiac resynchronization therapy diagnosis pulmonary embolism early detection valvular diseases, shown their potential mitigate feasible solutions. At same limits imposed small samples studied highlighted alongside challenges presented ethical implementation; these relate legal implications regarding responsibility making processes, ensuring patient confidentiality security. All constitute future directions will allow

Language: Английский

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Improving Prediction of Chronic Kidney Disease Using KNN Imputed SMOTE Features and TrioNet Model

Computer Modeling in Engineering & Sciences, Journal Year: 2024, Volume and Issue: 139(3), P. 3513 - 3534

Published: Jan. 1, 2024

Chronic kidney disease (CKD) is a major health concern today, requiring early and accurate diagnosis.Machine learning has emerged as powerful tool for detection, medical professionals are increasingly using ML classifier algorithms to identify CKD early.This study explores the application of advanced machine techniques on dataset obtained from University California, UC Irvine Machine Learning repository.The research introduces TrioNet, an ensemble model combining extreme gradient boosting, random forest, extra tree classifier, which excels in providing highly predictions CKD.Furthermore, K nearest neighbor (KNN) imputer utilized deal with missing values while synthetic minority oversampling (SMOTE) used class-imbalance problems.To ascertain efficacy proposed model, comprehensive comparative analysis conducted various models.The TrioNet KNN SMOTE outperformed other models 98.97% accuracy detecting CKD.This in-depth demonstrates model's capabilities underscores its potential valuable diagnosis CKD.

Language: Английский

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IDRM: Brain tumor image segmentation with boosted RIME optimization

Computers in Biology and Medicine, Journal Year: 2023, Volume and Issue: 166, P. 107551 - 107551

Published: Sept. 30, 2023

Language: Английский

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Hierarchical RIME algorithm with multiple search preferences for extreme learning machine training

Alexandria Engineering Journal, Journal Year: 2024, Volume and Issue: 110, P. 77 - 98

Published: Oct. 7, 2024

Language: Английский

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Advanced RIME architecture for global optimization and feature selection

Journal Of Big Data, Journal Year: 2024, Volume and Issue: 11(1)

Published: June 18, 2024

Abstract The article introduces an innovative approach to global optimization and feature selection (FS) using the RIME algorithm, inspired by RIME-ice formation. algorithm employs a soft-RIME search strategy hard-RIME puncture mechanism, along with improved positive greedy resist getting trapped in local optima enhance its overall capabilities. also Binary modified (mRIME), binary adaptation of address unique challenges posed FS problems, which typically involve spaces. Four different types transfer functions (TFs) were selected for issues, their efficacy was investigated CEC2011 CEC2017 tasks related disease diagnosis. results proposed mRIME tested on ten reliable algorithms. advanced architecture demonstrated superior performance tasks, providing effective solution complex problems various domains.

Language: Английский

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EU-Net: Automatic U-Net neural architecture search with differential evolutionary algorithm for medical image segmentation

Computers in Biology and Medicine, Journal Year: 2023, Volume and Issue: 167, P. 107579 - 107579

Published: Oct. 21, 2023

Language: Английский

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A new population initialization of metaheuristic algorithms based on hybrid fuzzy rough set for high-dimensional gene data feature selection

Computers in Biology and Medicine, Journal Year: 2023, Volume and Issue: 166, P. 107538 - 107538

Published: Oct. 4, 2023

Language: Английский

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Interpersonal Sensitivity Prediction Based on Multi-strategy Artemisinin Optimization with Fuzzy K-Nearest Neighbor

Journal of Bionic Engineering, Journal Year: 2025, Volume and Issue: unknown

Published: April 13, 2025

Language: Английский

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