QoS-SLA-aware Optimization Framework for IoT-Service Placement in Integrated Fog-Cloud Computing DOI
Mehdi Toghyani, Reihaneh Khorsand,

Hamidreza Khaksar

et al.

Journal of Grid Computing, Journal Year: 2024, Volume and Issue: 23(1)

Published: Dec. 18, 2024

Language: Английский

Analyzing predictors of in-hospital mortality in patients with acute ST-segment elevation myocardial infarction using an evolved machine learning approach DOI

Mengge Gong,

Dongjie Liang,

Diyun Xu

et al.

Computers in Biology and Medicine, Journal Year: 2024, Volume and Issue: 170, P. 107950 - 107950

Published: Jan. 2, 2024

Language: Английский

Citations

9
A new enhanced grey wolf optimizer to improve geospatially subsurface analyses DOI

Reza Iraninezhad,

Reza Asheghi, Hassan Ahmadi

et al.

Modeling Earth Systems and Environment, Journal Year: 2025, Volume and Issue: 11(2)

Published: Jan. 31, 2025

Language: Английский

Citations

1
An enhanced black-winged kite algorithm boosted machine learning prediction model for patients’ waiting time DOI
Xiang Zhang,

Keying Wu,

Chengqi Zhang

et al.

Biomedical Signal Processing and Control, Journal Year: 2025, Volume and Issue: 105, P. 107425 - 107425

Published: Feb. 10, 2025

Language: Английский

Citations

0
Optimized Machine Learning for the Early Detection of Polycystic Ovary Syndrome in Women DOI Creative Commons
Bharti Panjwani, Jyoti Yadav, Vijay Mohan

et al.

Sensors, Journal Year: 2025, Volume and Issue: 25(4), P. 1166 - 1166

Published: Feb. 14, 2025

Polycystic ovary syndrome (PCOS) is a medical condition that impacts millions of women worldwide; however, due to lack public awareness, as well the expensive testing involved in identification PCOS, 70% cases go undiagnosed. Therefore, primary objective this study design an expert machine learning (ML) model for early diagnosis PCOS based on initial symptoms and health indicators; two datasets were amalgamated preprocessed accomplish goal, resulting new symptomatic dataset with 12 attributes. An ensemble (EL) model, seven base classifiers, deep (DL) meta-level classifier, are proposed. The hyperparameters EL optimized through nature-inspired walrus optimization (WaO), cuckoo search (CSO), random (RSO) algorithms, leading WaOEL, CSOEL, RSOEL models, respectively. results obtained prove supremacy designed WaOEL over other prediction accuracy 92.8% area under receiver operating characteristic curve (AUC) 0.93; moreover, feature importance analysis, presented forest (RF) Shapley additive values (SHAP) positive predictions, highlights crucial clinical insights need intervention. Our findings suggest patients features related obesity high cholesterol more likely be diagnosed positive. Most importantly, it inferred from without tests possible proposed which helps clinicians make better informed decisions, identify comorbidities, reduce harmful long-term effects PCOS.

Language: Английский

Citations

0
Enhanced Harris Hawk Optimized Image Segmentation Model for Unmanned Aerial Vehicle Remote Sensing Scene Segmentation DOI
Hang Su, Yongbin Sun, Haibin Duan

et al.

Lecture notes in electrical engineering, Journal Year: 2025, Volume and Issue: unknown, P. 162 - 169

Published: Jan. 1, 2025

Language: Английский

Citations

0
Beyond boundaries: AI-optimized global landslide susceptibility mapping DOI Creative Commons
Mahdi Panahi, Fatemeh Rezaie, Khabat Khosravi

et al.

Geomatics Natural Hazards and Risk, Journal Year: 2025, Volume and Issue: 16(1)

Published: May 5, 2025

Language: Английский

Citations

0
Wireless Sensor Network Coverage Optimization Based on the Novel Enhanced Hunter-Prey Optimization Algorithm DOI
Jie Song, Yongmao Hu, Yanbi Luo

et al.

IEEE Sensors Journal, Journal Year: 2024, Volume and Issue: 24(19), P. 31172 - 31187

Published: Aug. 19, 2024

Language: Английский

Citations

2
Impact and Analysis of the “One Visit” System to Optimize the Flow of Medical Services on Patients’ Waiting Time: A Retrospective Study DOI Creative Commons
Lihua Lou,

Shaobo Yin,

Mengxuan Xia

et al.

Research Square (Research Square), Journal Year: 2024, Volume and Issue: unknown

Published: Jan. 31, 2024

Abstract Background Patients’ waiting time exceeded consultation in outpatient clinics, persisting as a criticized issue. Multiple interventions aimed to reduce patients’ and enhance satisfaction have been implemented by most Chinese hospitals. However, there is little literature focus on the full range of services available patients during their visit. Methods We developed applied an intelligent sensing-driven unattended healthcare system (referred “One Visit”). upgraded hospital facilities systems improve flow services, streamline treatment time. compared time, visit, duration special examination appointment, for patients, so clinics pilot hospitals before after implementation Visit” system. In addition, we investigated average length stay changes with process Results Post-call was reduced from 9.23 minutes 7.83 minutes; visit increased 2.95 3.17 appointment 7.94 days 5.30 days; 48.63 45.26 9.08 7.27 days. Satisfaction 78.61% 80.40%. Conclusions With continuous improvement service process, it has proven that effectively guides through entire medical process. The efficiency improved experience. It worthy further promotion.

Language: Английский

Citations

1
Comprehensive Review of Metaheuristic Algorithms (MAs) for Optimal Control (OCl) Improvement DOI
Usman Mohammed, Tologon Karataev, Omotayo Oshiga

et al.

Archives of Computational Methods in Engineering, Journal Year: 2024, Volume and Issue: 31(5), P. 2785 - 2903

Published: Jan. 31, 2024

Language: Английский

Citations

1
Advancing Intrauterine Adhesion Severity Prediction: Integrative Machine Learning Approach with Hysteroscopic Cold Knife System, Clinical Characteristics and Hematological Parameters DOI
Jie Yang,

Xiaodong zheng,

Jiajia Pan

et al.

Computers in Biology and Medicine, Journal Year: 2024, Volume and Issue: 177, P. 108599 - 108599

Published: May 13, 2024

Language: Английский

Citations

0