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13941
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13942
HPGCN: A graph convolutional network-based prediction model for herbal heat/cold properties
Published 2025-03-01“…Compared to previous machine learning algorithms, the HPGCN obtained optimal classification prediction results for ACC, Recall, Precision, F1, and AUC indicators by 5-fold cross-validation on the training and test sets. …”
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13943
Decoding the m6A epitranscriptomic landscape for biotechnological applications using a direct RNA sequencing approach
Published 2025-01-01“…Here, we introduce pum6a, an innovative attention-based framework that integrates positive and unlabeled multi-instance learning (MIL) to address the challenges of incomplete labeling and missing read-level annotations. …”
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13944
Lipids as key biomarkers in unravelling the pathophysiology of obesity-related metabolic dysregulation
Published 2025-02-01“…The predictive model underwent evaluation across four machine learning algorithms consistently demonstrated the highest predictive accuracy of 0.821, aligning with the findings from the classical logistic regression statistical model. …”
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13945
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13946
Sequence of episodic memory-related behavioral and brain-imaging abnormalities in type 2 diabetes
Published 2025-02-01“…The California Verbal Learning Test, Montreal cognitive assessment, and Stroop color word test was used to assess the episodic memory, general cognitive function, and executive function. …”
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13947
Sexual and reproductive health awareness and practices among adolescents and adults in a rural farming community in Baja California, Mexico: a quantitative and qualitative cross-se...
Published 2024-12-01“…Most believed that children should learn about SRH by age 10–15 years, and 94% felt that parents should deliver such education. …”
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13948
Association between estimated glucose disposal rate and cardiovascular diseases in patients with diabetes or prediabetes: a cross-sectional study
Published 2025-01-01“…Methods 10,690 respondents with diabetes and prediabetes from the NHANES 1999–2016 were enrolled in the study. Three machine learning methods (SVM-RFE, XGBoost, and Boruta algorithms) were employed to select the most critical variables. …”
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13949
Genome-wide identification and expression analysis of phytochrome gene family in Aikang58 wheat (Triticum aestivum L.)
Published 2025-01-01“…Additionally, the least absolute shrinkage and selection operator (LASSO) regression algorithm in machine learning was used to screen transcription factors such as bHLH, WRKY, and MYB that influenced the expression of TaAkPHY genes. …”
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13950
Anticholinergic burden and behavioral and psychological symptoms in older patients with cognitive impairment
Published 2025-02-01“…The cholinergic system plays an important role in learning processes, memory, and emotions regulation. …”
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13951
ChromaFold predicts the 3D contact map from single-cell chromatin accessibility
Published 2024-11-01“…We therefore present ChromaFold, a deep learning model that predicts 3D contact maps, including regulatory interactions, from single-cell ATAC sequencing (scATAC-seq) data alone. …”
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13952
Sequencing Silicates in the Spitzer Infrared Spectrograph Debris Disk Catalog. I. Methodology for Unsupervised Clustering
Published 2025-01-01“…This study introduces CLustering UnsupErvised with Sequencer (CLUES), a novel, nonparametric, fully interpretable machine learning spectral analysis tool designed to analyze and classify the spectral data of debris disks. …”
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13953
Pengukuran Kapabilitas Tata Kelola TI Sistem Informasi Tiras dan Transaksi Bahan Ajar Universitas Terbuka Menggunakan Cobit 5
Published 2021-10-01“…Abstract The Open University (UT) teaching material service implements the Information System for Learning Materials and Transactions (SITTA) which in the process encountered problems related to the operation and optimization of Information Technology. …”
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13954
Mortality Risk Prediction in Patients With Antimelanoma Differentiation–Associated, Gene 5 Antibody–Positive, Dermatomyositis–Associated Interstitial Lung Disease: Algorithm Develo...
Published 2025-02-01“…ObjectiveThis study aimed to develop and validate a risk prediction model of 3-month mortality using machine learning (ML) in a large multicenter cohort of patients with anti-MDA5+DM-ILD in China. …”
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13955
Egg freshness during storage: the effect of laying hen age and shelf life prediction using a novel hybrid modeling method
Published 2025-11-01“…The tuning process of hyperparameters such as learning rate, training function, and transfer function was presented in detail. …”
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13956
A New Smartphone-Based Cognitive Screening Battery for Multiple Sclerosis (icognition): Validation Study
Published 2025-01-01“…MethodsThe icognition screening battery consists of 3 tests: the Symbol Test for information processing speed, the Dot Test for visuospatial short-term memory and learning, and the visual Backward Digit Span (vBDS) for working memory. …”
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13957
Ovarian Reserve: A Critical Indicator of Female Reproductive Health
Published 2025-01-01“…Newly approaches, like machine learning models and AMH-based screening programs in countries like Portugal emerge. …”
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13958
A multimodal transformer system for noninvasive diabetic nephropathy diagnosis via retinal imaging
Published 2025-01-01“…To reform the traditional biopsy-all diagnostic paradigm and avoid unnecessary biopsy, we developed a transformer-based deep learning (DL) system for detecting DN and NDRD upon non-invasive multi-modal data of fundus images and clinical characteristics. …”
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13959
Bilateral synchronous UBE for unilateral laminotomy and bilateral decompression as a potentially effective minimally Invasive approach for two-level lumbar spinal stenosis
Published 2025-01-01“…Unilateral biportal endoscopy (UBE ) is more popular in treating LSS and is a more flexible operation, with small trauma, quick recovery, and a gentle learning curve. In addition, many studies have proven the good clinical efficacy of unilateral biportal endoscopy7. …”
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13960
Subtyping Social Determinants of Health in the "All of Us" Program: Network Analysis and Visualization Study
Published 2025-02-01“…However, the high degree of systematic missingness requires repeating the analysis as the data become more complete by using our generalizable and scalable machine learning code available on the All of Us workbench.…”
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