Multi-Class Skin Cancer Classification Using a Hybrid Dynamic Salp Swarm Algorithm and Weighted Extreme Learning Machines with Transfer Learning by Ramya Panneerselvam, Sathiyabhama Balasubramaniam

“…The DSSA, the best feature selection algorithm enhances the classification accuracy of the WELM. …”
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Comprehensive framework for thyroid disorder diagnosis: Integrating advanced feature selection, genetic algorithms, and machine learning for enhanced accuracy and other performance... by Ankur Kumar, Sanjay Dhanka, Abhinav Sharma, Anchal Sharma, Surita Maini, Mochammad Fahlevi, Fazla Rabby, Mohammed Aljuaid, Rohit Bansal

“…Thyroid hormones control crucial physiological activities, such as metabolism, oxidative stress, erythropoiesis, thermoregulation, and organ development. Hormonal imbalances may cause serious conditions like cognitive impairment, depression, and nervous system damage. …”
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An Algorithm to Analyze Cost Heterogeneity using Counterfactual Scenarios in Endovascular versus Open Repair of Abdominal Aortic Aneurysm: Predicting Costs for Subsequent Patients by Christopher A. Jones, Peter W. Callas, Robert W. Everett, Richard A. Galbraith, Richie Spitsberg, Jeffrey J. Petrozzino, Michael J. DeSarno, Andrew C. Stanley

“…Under such circumstances, it is our expectation that such algorithms may be used to select the most cost-efficient treatment.…”
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Extending Three-Dimensional Weighted Cone Beam Filtered Backprojection (CB-FBP) Algorithm for Image Reconstruction in Volumetric CT at Low Helical Pitches by Xiangyang Tang, Jiang Hsieh, Roy A. Nilsen, Scott M. McOlash

“…It is believed that, such an efficient CB reconstruction algorithm that can provide superior noise characteristics or dose efficiency at low helical pitches may find its extensive applications in CT medical imaging.…”
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Algorithmic Analysis of Queuing System with Varying Number of Servers, Phase-Type Service Time Distribution, and Changeable Arrival Process Depending on Random Environment by Alexander Dudin, Olga Dudina, Sergei Dudin

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Establishment of predictive models for postoperative delirium in elderly patients after knee/hip surgery based on total bilirubin concentration: machine learning algorithms by Shuhui Hua, Chuan Li, Yuanlong Wang, YiZhi Liang, Shanling Xu, Jian Kong, Hongyan Gong, Rui Dong, Yanan Lin, Xu Lin, Yanlin Bi, Bin Wang

“…Compared with other ML algorithms, NN showed better performance, with an AUC of 0.973 (95% CI (0.959–0.987)) in the test set. …”
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From manual clinical criteria to machine learning algorithms: Comparing outcome endpoints derived from diverse electronic health record data modalities. by Shreya Chappidi, Mason J Belue, Stephanie A Harmon, Sarisha Jagasia, Ying Zhuge, Erdal Tasci, Baris Turkbey, Jatinder Singh, Kevin Camphausen, Andra V Krauze

“…Our scan-based CV results also suggest that the automation of clinical criteria may not align with human intuition. Our findings indicate a need for improved data source integration, validation, and revisiting of clinical criteria in parallel to multi-modal ML algorithm development.…”
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Detour-Straddle 3D-like path planning of unmanned mining truck in open pit mines based on optimized ant colony algorithm by Mingyu GAO, Jiusheng BAO, Yan YIN, Deping HU, Kekun ZHANG, Chenzhong ZHU, Maosen WANG, Kai WANG

“…Then, the initial pheromone distribution of ant colony algorithm is optimized to improve the goal orientation of the algorithm, and the optimal and worst path is considered in the improved pheromone updating strategy to improve the performance and efficiency of path search. …”
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Interval valued inventory model with different payment strategies for green products under interval valued Grey Wolf optimizer Algorithm fitness function by Subhash Chandra Das, Md. Al-Amin Khan, Ali Akbar Shaikh, Adel Fahad Alrasheedi

“…When a vendor offers customers the option to pay with credit, a higher delay payment period facility plan may boost sales volume, but it also increases the risk of default. …”
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Predicting cardiovascular outcomes in Chinese patients with type 2 diabetes by combining risk factor trajectories and machine learning algorithm: a cohort study by Qi Huang, Xiantong Zou, Zhouhui Lian, Xianghai Zhou, Xueyao Han, Yingying Luo, Shuohua Chen, Yanxiu Wang, Shouling Wu, Linong Ji

“…Both the trajectory and machine learning algorithm contributed significantly to the enhancement of model performance. …”
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Predicting higher risk factors for COVID-19 short-term reinfection in patients with rheumatic diseases: a modeling study based on XGBoost algorithm by Yao Liang, Siwei Xie, Xuqi Zheng, Xinyu Wu, Sijin Du, Yutong Jiang

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Identification of immune-related biomarkers linked to systemic lupus erythematosus and dilated cardiomyopathy through integrated bioinformatics analysis and multiple machine learni... by Gaijie Li, Liwen Lin, Shushu Wang, Kachun Lu, KaMan Szeto, Guiting Zhou, Xianwen Tang, Chuanjin Luo, Chuanjin Luo

“…Through machine learning algorithms and dataset validation, we further identified the HERC6 and IFI44L genes as important diagnostic markers for SLE-related DCM. …”
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A Coherent Approach-Based Fine-Tuning of Segment Anything Model Plus Watershed Algorithm for Instance Segmentation of Mitochondria in Electron Microscopy Images by Zahra Faska, Lahbib Khrissi, Imadeddine Mountasser, Khalid Haddouch, Nabil El Akkad, Samah Alshathri, Walid El-Shafai

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A continuous responder algorithm to optimize clinical management of small-cell lung cancer with progastrin-releasing peptide as a simple blood test by Thomas Muley, Xiaotong Zhang, Stefan Holdenrieder, Catharina M Korse, Xiu-yi Zhi, Rafael Molina, Zhongjuan Liu, Gunther Hartmann, Michel M van den Heuvel, Kun Qian, Ramon Marrades, Christine Engel, Ying He, Birgit Wehnl, Farshid Dayyani, Felix Herth

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A Deep Learning Model for Identifying the Risk of Mesenteric Malperfusion in Acute Aortic Dissection Using Initial Diagnostic Data: Algorithm Development and Validation by Zhechuan Jin, Jiale Dong, Chengxiang Li, Yi Jiang, Jian Yang, Lei Xu, Ping Li, Zhun Xie, Yulin Li, Dongjin Wang, Zhili Ji

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Machine Vision Applications for Welfare Monitoring in Aquaculture: Challenges and Opportunities by Amy Fitzgerald, Christos C. Ioannou, Sofia Consuegra, Andrew Dowsey, Carlos Garcia de Leaniz

“…We examined the practical applications of MV for welfare monitoring in aquaculture, the hardware and algorithms used for automated data collection, and the main challenges and solutions for data processing and analysis. …”
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Analyzing Blockchain Consensus Mechanisms for Internet of Things Networks by Maxim Melnikov, Elena Igonina

“…The consensus mechanism is the main component of blockchain technology, which allows multiple nodes to agree on a consistent view of data within the blockchain network. …”
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A Seasonal Fresh Tea Yield Estimation Method with Machine Learning Algorithms at Field Scale Integrating UAV RGB and Sentinel-2 Imagery by Huimei Liu, Yun Liu, Weiheng Xu, Mei Wu, Leiguang Wang, Ning Lu, Guanglong Ou

“…Traditional methods for estimating tea yield mainly rely on manual sampling surveys and empirical estimation, which are labor-intensive and time-consuming. …”
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Using data mining techniques to improve inflation rate management by Fatemeh Zahra Abedi Samakoosh, Soheila Karbasi

“…Then, by running the traveling salesman algorithm on the graph, we found a path where the group of foods and beverages is the bottleneck of the research subject. …”
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WFQ ENHANCEMENT USING INTELLIGENT DISTRIBUTED QUEUE BASED ANFIS FOR PACKET SWITCHING NETWORK by Sh. A. Ali, K. A. Nassar

“…Current swap scheduling mechanisms are characterized by three main characteristics: fairness, complexity, and protection. …”
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