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1381
A Multivariate Phenotypical Approach of Sepsis and Septic Shock—A Comprehensive Narrative Literature Review
Published 2024-10-01“…Given the heterogeneity of sepsis and recent technological progress amongst machine learning analysis techniques, a new, personalized approach to sepsis is being intensively studied. …”
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1382
Using Digital Phenotyping to Discriminate Unipolar Depression and Bipolar Disorder: Systematic Review
Published 2025-05-01“…For each included study, the following information was extracted: demographic characteristics, diagnostic criteria or psychiatric assessments, details of the technological tools and data types, duration of data collection, data preprocessing methods, selected variables or features, machine learning algorithms or statistical tests, validation, and main findings. …”
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1383
Classification of left and right-hand motor imagery in acute stroke patients using EEG microstate
Published 2025-06-01“…Significant features were used to construct classification models using Linear Discriminant Analysis(LDA), Support Vector Machines(SVM), and K-Nearest Neighbors(KNN) algorithms. …”
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1384
Spatio-temporal distribution, prediction and relationship of three major acute cardiovascular events: Out-of-hospital cardiac arrest, ST-elevation myocardial infarction and stroke
Published 2024-12-01“…Widespread implementation in clinical practice of prediction algorithms may allow to improve resource allocation, reduce treatment delays, and improve outcomes.…”
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1385
Computer vision applications for the detection or analysis of tuberculosis using digitised human lung tissue images - a systematic review
Published 2024-11-01“…We categorised the computer vision platform into four technologies: image processing, object/pattern recognition, computer graphics, and deep learning. …”
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1386
Investigating potential biomarkers associated with antineutrophil cytoplasmic antibody (ANCA)-associated vasculitis using Mendelian randomization and transcriptomic analysis
Published 2025-08-01“…Genes with a significant causal relationship were selected as candidate genes for further analysis. Machine learning algorithms, ROC curve analysis, and expression evaluation were employed to screen for biomarkers. …”
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1387
Predicting climate-driven shift of the East Mediterranean endemic Cynara cornigera Lindl
Published 2025-02-01“…Our analysis involved inclusion of bioclimatic variables, in the SDM modeling process that incorporated five algorithms: generalized linear model (GLM), Random Forest (RF), Boosted Regression Trees (BRT), Support Vector Machines (SVM), and Generalized Additive Model (GAM).Results and discussionThe ensemble model obtained high accuracy and performance model outcomes with a mean AUC of 0.95 and TSS of 0.85 for the overall model. …”
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1388
Modeling the effects of climate change scenarios on the potential distribution of Vespa crabro Linnaeus, 1758 (Hymenoptera: Vespidae) in a Mediterranean biodiversity hotspot
Published 2025-05-01“…We focused on Sardinia, a Mediterranean island with a heterogeneous morphological, geological, and climatic pattern, where V. crabro was accidentally introduced.We used 316 verified citizen science occurrences, high-resolution bioclimatic variables (40 × 40 m) specifically developed for the island, and two future climate and socio-economic scenarios for two temporal horizons (2040 and 2060) to model climatic suitability using an ensemble framework with three machine learning algorithms: Artificial Neural Networks (ANN), Generalized Boosting Model (GBM), and Random Forest (RF). …”
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1389
Effects of urban sprawl on land use change in the peripheral villages of Tehran metropolis (case study: Tehran-Damavand axis)
Published 2019-12-01“…After that, the supervised classification operation was monitored by the SVM algorithm and the detection and determination of the sprawl pattern in the study area. …”
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1390
Calculation Model of Multi-roll Straightening Process Based on Bilinear Hardening and Power Hardening
Published 2025-05-01“…Using these relationships and curvature integration, a mathematical model for the multi-roll straightening process was developed. A least squares algorithm was employed to solve the nonlinear equations iteratively, enabling accurate straightening calculations. …”
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1391
Neutrino interaction vertex reconstruction in DUNE with Pandora deep learning
Published 2025-06-01“…The machine learning solution is seamlessly integrated into a chain of pattern-recognition algorithms. …”
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1392
Data Mining Techniques for Early Detection and Classification of Plant Diseases: An Optimization-Based Approach
Published 2025-01-01“…The model proposed uses the state-of-art algorithms including the decision trees, support vector machines and the deep learning techniques in the feature extraction and pattern recognition as well as binary classification. …”
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1393
Opportunities and Challenges of Brain-on-a-Chip Interfaces
Published 2025-01-01“…Furthermore, the evolution of BoCI systems depends on a range of stimulation strategies and novel decoding algorithms, including artificial-intelligence-driven methods, which has expanded BoCI applications to pattern recognition and robotic control. …”
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