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Brain mapping, biomarker identification and using machine learning method for diagnosis of anxiety during emotional face in preschool children
Published 2025-02-01“…The fMRI biomarkers (FC) were given to machine learning models as input features to diagnose anxiety in children for angry and fearful conditions. …”
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1562
CECT-Based Radiomic Nomogram of Different Machine Learning Models for Differentiating Malignant and Benign Solid-Containing Renal Masses
Published 2025-01-01Subjects: Get full text
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1563
Estimation of the Compressive Strength of Self-Compacting Concrete (SCC) by a Machine Learning Technique Coupling with Novel Optimization Algorithms
Published 2023-03-01“…This research aims to model the CS of SCC via a machine learning technique of Support Vector Regression (SVR). …”
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1564
An explainable predictive machine learning model of gangrenous cholecystitis based on clinical data: a retrospective single center study
Published 2025-01-01Subjects: Get full text
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1565
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1566
Identification of biomarkers associated with coronary artery disease and non-alcoholic fatty liver disease by bioinformatics analysis and machine learning
Published 2025-01-01“…The candidate biomarkers were screened from intersection of machine learning in GSE89632, including CEBPA, CXCL2, JUN and FOXO1. …”
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1567
Enhancing Fault Detection and Classification in MMC-HVDC Systems: Integrating Harris Hawks Optimization Algorithm with Machine Learning Methods
Published 2024-01-01“…Voltage and current features are extracted and optimized using a metaheuristic approach, specifically Harris Hawk’s optimization method. Leveraging machine learning (ML) and artificial neural networks (ANN), this technique demonstrates its effectiveness in generating a fault locator with exceptional accuracy. …”
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1568
Data-driven machine learning approaches for simultaneous prediction of peak particle velocity and frequency induced by rock blasting in mining
Published 2025-01-01Subjects: Get full text
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1569
Combining machine learning algorithms for bridging gaps in GRACE and GRACE Follow-On missions using ERA5-Land reanalysis
Published 2025-06-01Subjects: Get full text
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1570
Seismic Fragility Analysis of the Reinforced Concrete Continuous Bridge Piers Based on Machine Learning and Symbolic Regression Fusion Algorithms
Published 2021-01-01“…Firstly, the existing 46 types of ground motion intensity measures were taken as a candidate set, and the composite intensity measures (IMs) based on machine learning methods were selected and constructed. …”
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Application of machine learning algorithms in predicting new onset hypertension: a study based on the China Health and Nutrition Survey
Published 2025-01-01Subjects: “…machine learning algorithms…”
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1573
A Detailed Study on Algorithms for Predictive Maintenance in Smart Manufacturing: Chip Form Classification Using Edge Machine Learning
Published 2024-01-01“…To simulate this paradigm, the chosen machine learning models were deployed on STM microcontrollers obtaining both high accuracy (98%) and an inference time in the order of milliseconds.…”
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1574
Developing clinical prognostic models to predict graft survival after renal transplantation: comparison of statistical and machine learning models
Published 2025-02-01Subjects: Get full text
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1576
Comparing Supervised Machine Learning Models for Covid-19 patient detection using a Combination of Clinical and Laboratory Dataset
Published 2022-01-01Subjects: Get full text
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1578
FIRM image analysis: A machine learning workflow for quantifying extracellular matrix components from electron microscopy images.
Published 2025-01-01“…Current imaging techniques allow us to visualize these critical remodeling events and developments in image analysis have employed a combination of analysis software and machine learning techniques to improve the efficiency and accuracy with which features are measured. …”
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Novel machine learning algorithm in risk prediction model for pan-cancer risk: application in a large prospective cohort
Published 2024-07-01“…Objective To develop and validate machine-learning models that predict the risk of pan-cancer incidence using demographic, questionnaire and routine health check-up data in a large Asian population.Methods and analysis This study is a prospective cohort study including 433 549 participants from the prospective MJ cohort including a male cohort (n=208 599) and a female cohort (n=224 950).Results During an 8-year median follow-up, 5143 cancers occurred in males and 4764 in females. …”
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