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5681
EEG microstate analysis in children with prolonged disorders of consciousness
Published 2025-07-01“…Support vector machine (SVM) models were trained using combined temporal and spatial microstate features, optimized via grid search and random search algorithms. Model performance was evaluated using standard metrics, and features were ranked by permutation importance. …”
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5682
Predictive biomarkers and molecular subtypes in DLBCL: insights from PCD gene expression and machine learning
Published 2025-04-01“…Additionally, 12 machine learning algorithms were employed to construct predictive models for DLBCL, with performance evaluated using AUC and F-score metrics. …”
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5683
Classification of <i>Verticillium dahliae</i> Vegetative Compatibility Groups (VCGs) with Machine Learning and Hyperspectral Imagery
Published 2025-04-01“…The study documented the spectral profiles of <i>V. dahliae</i>’s isolates and identified specific spectral features that can effectively differentiate among the VCGs. Multiple machine learning algorithms, including random forest and artificial neural networks (ANNs), were trained and evaluated on previously unseen isolates. …”
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5684
Establishment of an MRI-based radiomics model for distinguishing between intramedullary spinal cord tumor and tumefactive demyelinating lesion
Published 2024-11-01“…Abstract Objective Differentiating intramedullary spinal cord tumor (IMSCT) from spinal cord tumefactive demyelinating lesion (scTDL) remains challenging with standard diagnostic approaches. …”
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5685
Forecasting readmission in COVID-19 patients utilizing blood biomarkers and machine learning in the Hospital-at-Home program
Published 2025-03-01“…Various classification algorithms (bagged trees, KNN, LDA, logistic regression, Naïve Bayes, and the support vector machine [SVM]) were implemented to predict readmission, with performance evaluated using accuracy, sensitivity, specificity, F1 score, and the Matthews Correlation Coefficient (MCC).ResultsSignificant differences were observed in IL-6, Hs-TnT, CRP (p < 0.001), and ferritin (p < 0.01) between the first day of conventional hospitalization and the first day of HaH for patients who were not readmitted. …”
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5686
Machine learning models predict risk of lower extremity deep vein thrombosis in hospitalized patients with spontaneous intracerebral hemorrhage
Published 2025-07-01“…Five machine learning algorithms were used to construct the prediction model and the model accuracy was evaluated by ROC curves. …”
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5687
Prediction of Early Diagnosis in Ovarian Cancer Patients Using Machine Learning Approaches with Boruta and Advanced Feature Selection
Published 2025-04-01“…Random Forest and CatBoost’s performances demonstrated significant differences in contrast to other algorithms (respectively, AUC 0.94% and 0.95%). …”
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5688
Identification of immune and major depressive disorder-related diagnostic markers for early nonalcoholic fatty liver disease by WGCNA and machine learning
Published 2025-06-01“…A predictive model for SS/NASH was developed by evaluating nine machine-learning algorithms with 10-fold cross-validation on the datasets.ResultsFourteen genes strongly linked to both the immune system and the two conditions were identified. …”
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5689
Search for medium effects using jet axis decorrelation in inclusive jets from PbPb collisions at $$\sqrt{{s}_{\text{NN}}}$$ = 5.02 TeV
Published 2025-06-01“…The jet axis decorrelation is defined as the angular difference between two definitions of the jet axis. …”
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5690
The diagnostic and prognostic value of C1orf174 in colorectal cancer
Published 2024-11-01“…RNA and microRNA sequencing were analyzed using bioinformatics and machine learning algorithms to identify differentially expressed genes (DEGs), followed by validation in CRC patients. …”
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5691
A national survey on how to improve the integration of traditional Chinese medicine and artificial intelligence: Attitudes and perceptions from medical staff
Published 2025-12-01“…The top three concerns about the potential risks associated with the integration of TCM and AI were the misinterpretation of cultural contexts, flexibility in dialectical treatment, and simplification of traditional TCM experience by algorithms. The top three most promising applications were the intelligent syndrome differentiation system (54.6 %), the TCM four diagnostic instruments (49.1 %), and the acupuncture and Tui Na robot (47.8 %). …”
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5692
Analysis of shared pathogenic mechanisms and drug targets in myocardial infarction and gastric cancer based on transcriptomics and machine learning
Published 2025-03-01“…The random forest and Lasso algorithms were used to identify genes with diagnostic value, leading to nomogram construction. …”
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5693
Targeted urinary metabolomics combined with machine learning to identify biomarkers related to central carbon metabolism for IBD
Published 2025-08-01“…Diagnostic models were constructed using six machine learning algorithms, and their performance was evaluated by cross-validated area under the receiver operating characteristic curve (AUC). …”
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5694
Detection of flap malperfusion after microsurgical tissue reconstruction using hyperspectral imaging and machine learning
Published 2025-05-01“…Several supervised classification algorithms were evaluated to differentiate impaired perfusion from healthy tissue via HSI recordings. …”
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5695
Screening of endoplasmic reticulum stress characteristic genes and immune infiltration manifestations in chronic obstructive pulmonary disease
Published 2024-07-01“…Three machine learning algorithms, LASSO, SVM-RFE, and RF, were used to screen the characteristic genes, and their diagnostic performance was verified and evaluated in the GSE10006. …”
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5696
Ferroptosis-related genes in preeclampsia: integrative bioinformatics analysis, experimental validation and drug prediction
Published 2025-02-01“…Hub genes were selected using RandomForest and LASSO algorithms. Their diagnostic potential was evaluated through ROC analysis. …”
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5697
Monitoring Gypsiferous Soils by Leveraging Advanced Spaceborne Hyperspectral Imagery via Spectral Indices and a Machine Learning Approach
Published 2025-05-01“…The results showcased that the difference soil index (DSI) achieved the highest R<sup>2</sup> scores of 0.96 (ASD), 0.79 (PRISMA), and 0.84 (EnMAP), slightly outperforming the normalized difference gypsum ratio (NDGI) and ratio soil index (RSI). …”
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5698
Machine learning allows robust classification of lung neoplasm tissue using an electronic biopsy through minimally-invasive electrical impedance spectroscopy
Published 2025-03-01“…All the frequencies used to train and test the algorithms obtained high significant differences between neoplasm and the other types of tissues (P < 0.001). …”
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5699
Biomedical Data Analysis Systems for the Diagnosis of Skin Neoplasms
Published 2020-07-01“…One of the factors of the increase can be considered the introduction of a personalized mode - the addition of comparative features evaluating a difference between a tumor and a normal tissue in the software analysis module. …”
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5700
Automated classification of stress and relaxation responses in major depressive disorder, panic disorder, and healthy participants via heart rate variability
Published 2025-01-01“…This study evaluated the feasibility of using machine-learning algorithms to detect stress automatically in MDD and PD patients, as well as healthy controls (HCs), based on HRV features.MethodsThe study included 147 participants (MDD: 41, PD: 47, HC: 59) who visited the laboratory up to five times over 12 weeks. …”
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