Kết quả tìm kiếm - optimization algorithm
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4821
Non-Celiac Villous Atrophy—A Problem Still Underestimated
Được phát hành 2025-07-01“…These findings highlight significant diagnostic challenges and underscore the need to adapt diagnostic algorithms that combine clinical history, serologic evaluations, and histopathologic analysis. …”Non-celiac villous atrophy (NCVA) is a multifaceted and under-recognized clinical entity with an etiology beyond celiac disease. This review critically examines the diverse pathophysiological mechanisms underlying NCVA, including autoimmune enteropathies, immune deficiency-related disorders, infecti...
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4822
An improved hybrid approach involving deep learning for urban greening tree species classification with Pléiades Neo 4 imagery—A case study from Nanjing, Eastern China
Được phát hành 2025-12-01“…Future work will integrate multi-source data, multi-seasonal observations, and adaptive algorithms to further enhance classification performance and improve model robustness across diverse urban environments.…”The distribution of urban tree species shapes spatial differences in urban eco-environmental benefits and liveability. Although very high-resolution (VHR) multispectral optical satellite imagery has significant potential for detailed urban tree species classification, few studies have reliably class...
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4823
Exploring fecal microbiota signatures associated with immune response and antibiotic impact in NSCLC: insights from metagenomic and machine learning approaches
Được phát hành 2025-07-01“…Among eight machine learning algorithms evaluated, the optimal model was selected to construct a predictive framework for immunotherapy response.ResultsMicrobial α-diversity was significantly elevated in responders compared to non-responders, with antibiotic administration further amplifying this difference—most notably at the species level. …”BackgroundSubstantial interstudy heterogeneity in cancer immunotherapy-associated biomarkers has hindered their clinical applicability. To address this challenge, we performed a comprehensive integration of publicly available global metagenomic datasets. By leveraging metagenomic profiling and machi...
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4824
Atrial fibrillation and chronic kidney disease: main clinical characteristics of patients in selected subjects of the Russian Federation
Được phát hành 2023-05-01“…This emphasizes the need to optimize risk stratification, ACT and algorithms for the prevention of atherothrombotic events, as well as the development of nephroprotective strategies to reduce the rate of progression of renal dysfunction in this cohort of patients.…”Aim. To compare clinical characteristics of patients with atrial fibrillation (AF) depending on renal filtration function based on a retrospective analysis of data in individual subjects of the Russian Federation (RF).Material and methods. The information was taken from the Webiomed predictive analy...
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4825
Developing an Interpretable Machine Learning Model for Early Prediction of Cardiovascular Involvement in Systemic Lupus Erythematosus
Được phát hành 2025-07-01“…Among seven evaluated algorithms, the Gradient Boosting Machine (GBM) demonstrated the best performance on the test set. …”Zixian Deng,1 Huadong Liu,1 Feng Chen,2 Qiyun Liu,1 Xiaoyu Wang,3 Caiping Wang,1 Chuangye Lyu,1 Jianghua Li,1 Tangzhiming Li1,4 1Department of Cardiology, Shenzhen People’s Hospital (The First Affiliated Hospital, Southern University of Science and Technology; The Second Clinical Medical College, Ji...
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4826
Development of a postoperative recurrence prediction model for stage Ⅰ non-small cell lung cancer patients using multimodal data based on machine learning
Được phát hành 2025-07-01“…Among 6 machine learning algorithms, the adaptive boosting (Adaboost) model demonstrated the best overall predictive performance, with an area under the curve (AUC) of 0.866 (95% CI: 0.808~0.923; accuracy: 0.832, specificity: 0.884) in the training set and of 0.806 (95% CI: 0.630~0.983; accuracy: 0.795, specificity: 0.971) in the validation set. …”Objective To develop a machine learning model integrating preoperative chest CT radiomic features with clinical data for predicting 5-year postoperative recurrence risk in stage Ⅰ non-small cell lung cancer (NSCLC) patients undergoing surgical resection. Methods A total of 217 patients with patholog...
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4827
Cerebral oxygen saturation in relation to end-tidal CO2 in cardiopulmonary resuscitation – Separate views of brain and body?
Được phát hành 2025-09-01“…Further research should examine the potential of using rSO2 alongside etCO2 in CPR algorithms.…”Background: An increase in both regional cerebral oxygen saturation (rSO2) measured by near-infrared spectroscopy (NIRS) and end-tidal carbon dioxide (etCO2) during advanced life support for out-of-hospital cardiac arrest (OHCA) is associated with a higher likelihood of return of spontaneous circula...
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4828
Integrating Gut Microbiome and Metabolomics with Magnetic Resonance Enterography to Advance Bowel Damage Prediction in Crohn’s Disease
Được phát hành 2025-06-01“…Seven machine learning algorithms, each paired with seven distinct combinations of multi-omics features, were evaluated using nested 5-fold cross-validation to construct an optimal prediction model. …”Lili Huang,1,* Jixin Meng,1,2,* Shaochun Lin,1,* Zhenpeng Peng,1,* Ruonan Zhang,1 Xiaodi Shen,1 Weikai Zheng,1 Qingzhu Zheng,1 Luyao Wu,1 Xinyue Wang,1 Yangdi Wang,1 Ren Mao,3 Canhui Sun,1 Xuehua Li,1 Shi-Ting Feng1 1Department of Radiology, The First...
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4829
Evaluating Leaf Water Potential of Maize Through Multi-Cultivar Dehydration Experiments and Segmentation Thresholding
Được phát hành 2025-06-01“…Finally, the relationship between the optimal VIs and <i>Ψ<sub>leaf</sub></i> was analyzed using discontinuous linear segmental fitting. …”Estimating leaf water potential (<i>Ψ<sub>leaf</sub></i>) is essential for understanding plant physiological processes’ response to drought. The estimation of <i>Ψ<sub>leaf</sub></i> based on different regression analysis methods with hyperspectral veg...
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4830
PhA-MOE: Enhancing Hyperspectral Retrievals for Phytoplankton Absorption Using Mixture-of-Experts
Được phát hành 2025-06-01“…The recent launches of NASA’s hyperspectral missions, such as EMIT and PACE, have generated an urgent need for hyperspectral algorithms for studying phytoplankton. Retrieving <inline-formula><math xmlns="http://www.w3.org/1998/Math/MathML" display="inline"><semantics><msub><mi>a</mi><mrow><mi>p</mi><mi>h</mi><mi>y</mi></mrow></msub></semantics></math></inline-formula> from ocean color remote sensing in coastal waters has been extremely challenging due to complex optical properties. …”As a key component of inherent optical properties (IOPs) in ocean color remote sensing, phytoplankton absorption coefficient (<inline-formula><math xmlns="http://www.w3.org/1998/Math/MathML" display="inline"><semantics><msub><mi>a</mi><mrow&...
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4831
Development of a robust FT-IR typing system for Salmonella enterica, enhancing performance through hierarchical classification
Được phát hành 2025-07-01“…The IR Biotyper was used to acquire spectra from these isolates. Machine learning algorithms, including support vector machines, were trained to classify the isolates. …”ABSTRACT Salmonella enterica is a leading cause of foodborne illnesses globally, with significant mortality rates, especially among vulnerable populations. Traditional serotyping methods for Salmonella are accurate but expensive, resource-intensive, and time-consuming, necessitating faster and more...
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4832
Pharmacological potential of 6,11-dihydro[1,2,4]triazolo[4’,3’:1,6]-pyrido[3,4-b]-5-carboxylic acid and its esters
Được phát hành 2025-03-01“…The active implementation of various modifications of indole and 1,2,4-triazole frameworks is aimed at optimizing the pharmacokinetic and pharmacodynamic characteristics of medicinal products. …”The combination of the indole fragment, which demonstrates activity due to its aromatic structure, with the 1,2,4-triazole nucleus, which is characterised by chemical stability and the ability to form hydrogen bonds, creates a promising basis for the development of new therapeutic agents with improv...
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4833
Predicting Olympic Medal Performance for 2028: Machine Learning Models and the Impact of Host and Coaching Effects
Được phát hành 2025-07-01“…The proposed models, through an innovative integration of clustering, dimensionality reduction, and predictive algorithms, provide reliable forecasts and data-driven insights for optimizing national sports strategies. …”This study develops two machine learning models to predict the medal performance of countries at the 2028 Olympic Games while systematically analyzing and quantifying the impacts of the host effect and exceptional coaching on medal gains. The dataset encompasses records of total medals by country, e...
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4834
Interpretable Machine Learning for Legume Yield Prediction Using Satellite Remote Sensing Data
Được phát hành 2025-06-01“…Accurate crop yield prediction is vital towards optimizing agricultural productivity. Machine Learning (ML) has shown promise in this field; however, its application to legume crops, especially to lupin, remains limited, while many models lack interpretability, hindering real-world adoption. …”Accurate crop yield prediction is vital towards optimizing agricultural productivity. Machine Learning (ML) has shown promise in this field; however, its application to legume crops, especially to lupin, remains limited, while many models lack interpretability, hindering real-world adoption. To brid...
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4835
Improving health-promoting workplaces through interdisciplinary approaches. The example of WISEWORK-C, a cluster of five work and health projects within Horizon-Europe
Được phát hành 2025-07-01“…These shifts are giving rise to new forms of work (eg, hybrid work, gig economy jobs) and reshaping management and work organization practices (eg, through algorithmic decision-making or digital monitoring of worker performance). …”Digitalization, green transitions, and demographic change are transforming societies and economies across Europe. These shifts are giving rise to new forms of work (eg, hybrid work, gig economy jobs) and reshaping management and work organization practices (eg, through algorithmic decision-making or...
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