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Evaluating Feature Selection Methods for Accurate Diagnosis of Diabetic Kidney Disease
Published 2024-12-01“…After selecting suitable features detected by the methodologies, they are included in the random forest classifier, obtaining four models. <b>Results</b>: Galgo with Random Forest achieved the best performance with only three predictors, “creatinine”, “urea”, and “lipids treatment”. …”
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Streamlining ICI Transformed as a Nonnegative System
Published 2025-07-01“…The previous algorithm used initial conditions that were randomly assorted pixel intensities. …”
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23
SGLT2 inhibitors and kidneys: mechanisms and main effects in diabetes mellitus patients
Published 2021-01-01Get full text
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24
Effectiveness of a clinical decision support algorithm (ePOCT+) in improving quality of care for sick children in primary health facilities in Tanzania (DYNAMIC project): results f...
Published 2025-03-01“…Methods: 18 health facilities (9 intervention and 9 control, randomized 1:1) were sampled from the main cluster randomized trial. …”
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25
Proposing a framework for body mass prediction with point clouds: A study applied in typical swine pen environments
Published 2025-12-01“…Challenges persist in implementing these techniques in pens with a large number of animals, especially in extracting physical body characteristics from images in a production environment. In this context, the main objective of this research is to investigate a novel framework comprising effective algorithms for feature extraction, attribute selection, hyperparameter optimization, and prediction modelling, using point clouds collected from production animals (growing and finishing pigs). …”
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Research on Ship Heave Motion Compensation Control Under Complex Sea State Environment Based on Improved Reinforcement Learning
Published 2025-07-01“…In these diversified test scenarios, the improved TD3 algorithm exhibits remarkable adaptability and stability. …”
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Illustration Design Model with Clustering Optimization Genetic Algorithm
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30
On precise path planning algorithm in wireless sensor network
Published 2018-07-01“…Simulation scenarios with three node densities are used in this research study such as sparse node density, medium node density, and dense node density. …”
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31
Modified Meerkat Clan Algorithm for Association Rules Mining
Published 2024-05-01Get full text
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32
Hybrid Weighted Random Forests Method for Prediction & Classification of Online Buying Customers
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33
Prediction of mung bean production using machine learning algorithms
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34
Path Planning Algorithm for Manipulators in Complex Scenes Based on Improved RRT*
Published 2025-01-01“…Aiming at the problems of a six-degree-of-freedom robotic arm in a three-dimensional multi-obstacle space, such as low sampling efficiency and path search failure, an improved fast extended random tree (RRT*) algorithm for robotic arm path planning method (abbreviated as HP-APF-RRT*) is proposed. …”
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Regional Photovoltaic Consumption Control Strategy Based on Non-MPPT Algorithm
Published 2019-11-01Get full text
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A simple and efficient algorithm for genome‐wide homozygosity analysis in disease
Published 2009-09-01Get full text
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37
Positioning Guselkumab in The Treatment Algorithm of Patients with Crohn&rsquo;s Disease
Published 2025-05-01“…Ferdinando D’Amico,1,&ast; Sarah Bencardino,1,&ast; Fernando Magro,2 Axel Dignass,3 Ana Gutiérrez Casbas,4 Bram Verstockt,5 Ailsa Hart,6 Alessandro Armuzzi,7,8 Laurent Peyrin-Biroulet,9 Silvio Danese1 1Gastroenterology and Endoscopy, IRCCS Ospedale San Raffaele and Vita-Salute San Raffaele University, Milan, Italy; 2CINTESIS@RISE, Faculty of Medicine of the University of Porto, Porto, Portugal; 3Department of Medicine I, Agaplesion Markus Hospital, Goethe University, Frankfurt/Main, Germany; 4Centro de Investigación Biomédica en Red de Enfermedades Hepáticas y Digestivas (CIBERehd), Madrid, España; Hospital General Universitario de Alicante, Instituto de Investigación Sanitaria y Biomédica de Alicante (ISABIAL), Alicante, España; 5Department of Gastroenterology and Hepatology, University Hospitals Leuven, Leuven, KU, Belgium; 6Inflammatory Bowel Disease Unit, St Mark’s Hospital, LNWUH NHS Trust, Harrow, UK; 7IBD Unit, IRCCS Humanitas Research Hospital, Rozzano, Milan, Italy; 8Department of Biomedical Sciences, Humanitas University, Pieve Emanuele, Milan, Italy; 9Department of Gastroenterology, INFINY Institute, INSERM NGERE, CHRU Nancy, Vandœuvre-lès-Nancy, F-54500, France&ast;These authors contributed equally to this workCorrespondence: Silvio Danese, Gastroenterology and Endoscopy, IRCCS Ospedale San Raffaele and Vita-Salute San Raffaele University, Tel +390226432069, Fax +390282242591, Email sdanese@hotmail.comAbstract: Guselkumab, a selective interleukin-23 (IL-23) inhibitor, has emerged as a promising biologic therapy for the management of patients with moderate-to-severe Crohn’s disease (CD) and has been recently approved for its treatment. …”
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Routing algorithm for heterogeneous computing force requests based on computing first network
Published 2025-02-01“…An optimized genetic algorithm to address this issue was proposed. This algorithm was designed from both local and global perspectives: to ensure fast convergence to the target solution locally, a single parameter satisfying the randomness strategy was used to initialize the population, making it widely dispersed in the solution space; adopting a multi-parameter solution (or path) balanced selection strategy for selection operations, making the selected population rich and diverse; adopting a two-layer crossover strategy for crossover operations, with the aim of expanding the breadth of global search; adopting a multi parameter random single point mutation strategy for mutation operations, with the aim of deepening local search capabilities. …”
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Car Price Prediction and Recognition Using Deep Learning and Computer Vision Algorithms
Published 2025-06-01Get full text
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A revamped black winged kite algorithm with advanced strategies for engineering optimization
Published 2025-05-01“…Initially, the technique uses a logistic map for population initialization, swapping random generation to enhance global search effectiveness and fast convergence. …”
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