“…Machine learning algorithms suggested that logistic regression, naïve Bayes, and neural networks were most predictive of outcomes. Conclusion mEWS was associated with outcomes in neurosurgical patients and may be clinically useful. …”
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“…Several machine learning models, including logistic regression, decision trees, support vector machines, and neural networks, were used to classify the chemotherapy responses. …”
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“…Bioinformatic analysis of the crosstalk between TRPV1 with fertility candidate proteins (reported to influence IVF outcome) revealed cell death and survival, cellular compromise, and embryonic development to be the primary networks affected by anomalous TRPV1 expression. We therefore postulate that TRPV1 can act as a redox sensor, and its expression in spermatozoa may serve as a fertility marker.…”
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“…Four pretrained neural networks for nasopharyngeal diseases classification were trained under the nine datasets (full image, seg112 image, and seg224 image, each with 100% dataset, 50% dataset, and 25% dataset). …”
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“…These measures were used as predictor variables in logistic regression, support vector machines, random forests and artificial neural networks. RESULTS: In the study cohort, 24 of 82 (28.3%) who underwent an ATLR for drug‐resistant MTLE did not achieve Engel Class I (i.e., free of disabling seizures) outcome at a minimum of 2 years of postoperative follow‐up. …”
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“…Methods: Gene co-expression networks were developed utilizing the R package WGCNA as per the expression profiles and clinical features of TCGA HCC samples, key modules were identified by the correlation coefficients between clinical features and modules, and hub genes of modules were determined as per the GS and MM values. …”
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“…By dialogue and two-way communication, vivid interaction will be ensured, allow building synergies, and facilitate networking and capacity building. KEY MESSAGES: • Health literacy contributes to improved personal health and development of children and adolescents. • The measurement of health literacy is key to public health intervention success and needs theory driven, validated and reliable instruments.…”
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“…Methods: Antibiotic susceptibility data were collected from the NHSN AR Option and commercial automated antimicrobial susceptibility testing instruments (cASTI) from 3 hospital networks. Data were obtained from January 1, 2017, to December 31, 2018. …”
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“…CONCLUSIONS: Confinement came along with reduced familial support from parents, negatively impacting mental health. Social networks and support within families provided by older relatives act as a resilience factor and a potential vulnerability that affects mental health outcomes. …”
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“…METHODS: The study evolved from peer support networks developed during the COVID-19 pandemic. Participants were recruited digitally through online neighborhood and health communities. …”
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“…BACKGROUND: Falsified cosmetics are increasingly common especially online through social media networks and mobile applications. OBJECTIVES: This study developed and validated a novel tool to evaluate the safety of cosmetics and personal care products in the United Araba Emirates (UAE). …”
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“…Following institutional Research Ethics Committee approval, we contacted dedicated international organizations, charities, and patient groups identified through online searches, social media, and collaborative networks, to distribute the study information and study link, inviting their members diagnosed with iSS to participate. …”
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“…Detritivores are essential to nutrient cycling, but are often neglected in trophic networks, due to difficulties with determining their diet. …”
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“…To identify genes, signaling pathways and networks that are controlled by SRC-3 and potentially important for hormone-dependent decidualization, we performed RNA-sequencing on HESCs in which SRC-3 levels were significantly reduced at the time of administering the deciduogenic stimulus. …”
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“…Enriched chemolithoautotrophic members show good correlation with CO(2), CH(4) and H(2) concentrations of the native rock environments, while the organisms from upper horizons correlate more to NO(3)(−), SO(4)(2−)(,) Fe and TIC levels of the rocks. Co-occurrence networks suggest close interaction between chemolithoautotrophic and chemoorganotrophic/fermentative organisms. …”
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“…Integration of bioinformatics analysis and experimental validation identifies, this study provides novel insights into miRNA‐related networks in LUAD. Hsa‐miR‐103b, hsa‐miR‐29c‐5p, and hsa‐miR‐877‐5p may be used as diagnostic biomarkers for early LUAD.…”
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“…The regions of interest (ROI) in T2WI, DWI, and DCE-MRI images were segmented using MATLAB software, and the ROI was unified into 224 × 224 sizes, followed by image normalization as input to T2WI, DWI, and DCE-MRI models, all of which were based on ResNet 50 networks. The idea of a weighted voting method in ensemble learning was employed, and then T2WI, DWI, and DCE-MRI models were used as the base models to construct a multiparametric MRI model. …”
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“…This ability is particularly advantageous in impoverished soils because fungal mycelial networks can bridge otherwise spatially disconnected and inaccessible nutrient hot spots. …”
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“…The intricate regulatory networks involved in iron hemostasis have been reported in various pathogens; however, little is known about S. maltophilia. …”
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“…For model performance evaluation and comparison, the AUC values of all 38 variable availability models ranged from 0.7204–0.8241, and the AUC values of the simplicity model constructed using 16 significant variables ranged from 0.7528–0.8315. The neural networks model (NNs) and support vector machine (SVM) model had the best performance in the two types of modeling strategies, respectively; however, there was no significant difference in model performance comparison (p > 0.05). …”
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