-
1361
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. …”
Get full text
Article -
1362
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. …”
Get full text
Article -
1363
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. …”
Get full text
Article -
1364
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 %). …”
Get full text
Article -
1365
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. …”
Get full text
Article -
1366
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). …”
Get full text
Article -
1367
Integrating bioinformatics and machine learning for comprehensive analysis and validation of diagnostic biomarkers and immune cell infiltration characteristics in pediatric septic...
Published 2025-03-01“…Thereafter, the genes were identified utilizing machine-learning algorithms. The receiver operating characteristic curve was employed to assess the discrimination and effectiveness of the hub genes. …”
Get full text
Article -
1368
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. …”
Get full text
Article -
1369
Analysis of signals from air conditioner compressors with ordinal patterns and machine learning
Published 2025-03-01“…We analyze the expressiveness of the Ordinal Patterns and identify those variables that best differentiate the two machines. Furthermore, we incorporate machine learning algorithms, such as Artificial Neural Networks, Support Vector Machines, and Decision Trees, to evaluate and validate the effectiveness of Ordinal Patterns as discriminative features. …”
Get full text
Article -
1370
Comparison of 46 Cytokines in Peripheral Blood Between Patients with Papillary Thyroid Cancer and Healthy Individuals with AI-Driven Analysis to Distinguish Between the Two Groups
Published 2025-03-01“…Among the five classification algorithms evaluated, XGBoost demonstrated superior performance in terms of accuracy, precision, sensitivity (recall), specificity, F1-score, and ROC-AUC score. …”
Get full text
Article -
1371
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. …”
Get full text
Article -
1372
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. …”
Get full text
Article -
1373
Assessment of copeptin and obestatin levels in coronary artery disease patients
Published 2025-04-01“…They are currently assessed clinically through myocardial enzymes, electrocardiography, risk score algorithms, and angiography. It is important to find a suitable marker to differentiate them from other causes of chest pain. …”
Get full text
Article -
1374
Identification and validation of the nicotine metabolism-related signature of bladder cancer by bioinformatics and machine learning
Published 2024-12-01“…Integrative machine learning combination based on 10 machine learning algorithms was used for the construction of robust signature. …”
Get full text
Article -
1375
Bioinformatic identification of signature miRNAs associated with fetoplacental vascular dysfunction in gestational diabetes mellitus
Published 2025-03-01“…Firstly, differentially expressed miRNA genes (DEMGs) were evaluated using limma package. …”
Get full text
Article -
1376
The role of mitochondria-related genes in hepatocellular carcinoma prognosis: construction of prognostic models based on machine learning
Published 2025-07-01“…Weighted gene co-expression network analysis was subsequently employed to construct co-expression networks and identify key modules associated with HCC progression. We evaluated 113 machine learning algorithms to develop mitochondrial gene-based prognostic models. …”
Get full text
Article -
1377
Comprehensive analysis of total knee arthroplasty kinematics and functional recovery: Exploring full-body gait deviations in patients with knee osteoarthritis.
Published 2024-01-01“…Patients were clustered by applying K-means algorithms on full-body kinematic features of gait before surgery. …”
Get full text
Article -
1378
Radiological Assessment of Charcot Neuro-Osteoarthropathy in Diabetic Foot: A Narrative Review
Published 2025-03-01“…Nuclear imaging, including bone scintigraphy, radiolabeled leukocyte scans, and FDG-PET/CT, offers additional diagnostic precision in complex cases, especially when differentiating CNO from infections or evaluating patients with metal implants. …”
Get full text
Article -
1379
Identification and validation of cellular senescence-related genes and immune cell infiltration characteristics in intervertebral disc degeneration
Published 2025-05-01“…The former was used for the analysis of differentially expressed genes (DEGs) and the latter was used as the validation set. …”
Get full text
Article -
1380
Identification of potential metabolic biomarkers and immune cell infiltration for metabolic associated steatohepatitis by bioinformatics analysis and machine learning
Published 2025-05-01“…Methods: This study extracted multiple datasets from the GEO database to identify metabolism-related differentially expressed genes (MRDEGs). Protein-Protein Interaction (PPI) network and machine learning algorithms, including Least Absolute Shrinkage and Selection Operator (LASSO) regression, Support Vector Machine-Recursive Feature Elimination (SVM-RFE), and Random Forest (RF), were applied to screen for signature MRDEGs. …”
Get full text
Article