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  1. 288821
    “…We then constructed a framework consisting of deep learning (DL) neural networks and self-supervised BERT models. A tinnitus domain-specific corpus is used to pre-train the BERT model to further improve its embedding weights. …”
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    Automatic text classification of actionable radiology reports of tinnitus patients using bidirectional encoder representations from transformer (BERT) and in-domain pre-training (IDPT)
  2. 288822
    “…Finally, a wide set of ML algorithms, like random forests and neural networks, were used to identify the most suitable model for each scoring component. …”
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    Online Artículo Texto
    Automated Assessment of Balance Rehabilitation Exercises With a Data-Driven Scoring Model: Algorithm Development and Validation Study
  3. 288823
    “…Twenty-three general practices in three Australian Primary Health Networks recruited 1,671 adults (aged 18 – 75 years), predicted by the DST to have minimal/mild or severe depressive or anxiety symptoms in three months. …”
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    Economic evaluation of a Decision Support Tool to guide intensity of mental health care in general practice: the Link-me pragmatic randomised controlled trial
  4. 288824
    “…One largely untapped resource for this support is AWDs’ social networks. Fifty to 75% of AWDs have an unpaid family member or friend (“support person”) who provides ongoing help with diabetes management. …”
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    Online Artículo Texto
    Comparing the effectiveness of Family Support for Health Action (FAM-ACT) with traditional community health worker-led interventions to improve adult diabetes management and outcomes: study protocol for a randomized controlled trial
  5. 288825
    “…This implies that working with HCWs and their social networks to allay concerns about SARS-CoV-2 vaccination could improve uptake in a regular vaccination programme. …”
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    Online Artículo Texto
    Hesitancy for receiving regular SARS-CoV-2 vaccination in UK healthcare workers: a cross-sectional analysis from the UK-REACH study
  6. 288826
    “…BACKGROUND: Knowledge graphs support biomedical research efforts by providing contextual information for biomedical entities, constructing networks, and supporting the interpretation of high-throughput analyses. …”
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    Online Artículo Texto
    Expanding a database-derived biomedical knowledge graph via multi-relation extraction from biomedical abstracts
  7. 288827
    “…Reporting casual sex during lockdown was associated with: lower level of education OR = 2.37 [95% CI 1.40–4.01]; identifying as a member of an ethnic minority OR = 2.27[1.40–3.53]; daily usage of sexual networking apps OR = 2.24[1.54–3.25]; being less anxious about contracting SARS-CoV-2 through sex OR = 1.66[1.12–2.44]; using PrEP before lockdown OR = 1.75[1.20–2.56]; continuing to use PrEP OR = 2.79[1.76–4.57]; and testing for STIs during lockdown OR = 2.65[1.76–3.99]. …”
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    Online Artículo Texto
    The Impact of First UK-Wide Lockdown (March–June 2020) on Sexual Behaviors in Men and Gender Diverse People Who Have Sex with Men During the COVID-19 Pandemic: A Cross-Sectional Survey
  8. 288828
    “…Three models were produced: two Recurrent Neural Networks (RNNs) which differed significantly in internal weights and variables, and a Boosted Tree Classifier (BTC). …”
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    Inter operator variability of machine learning researchers predicting all-cause mortality in patients admitted to intensive care unit
  9. 288829
    “…METHODS: Fully convolutional neural networks for automated CAC scoring were developed and trained on 2439 cardiac CT scans and validated using 771 scans. …”
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    Evaluation of an artificial intelligence coronary artery calcium scoring model from computed tomography
  10. 288830
    “…Most of the participants seemed to worry about the fake news phenomenon and agreed that fake news on COVID-19 is being spread in the media and especially social networks. CONCLUSION: The study revealed that, during the COVID-19 pandemic in Greece, participants obtained information about the disease mainly by television, electronic press and news websites. …”
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    Information seeking behavior and COVID-19 pandemic: A snapshot of young, middle aged and senior individuals in Greece
  11. 288831
    “…Objectives  The TMF (Technology, Methods, and Infrastructure for Networked Medical Research) Data Protection Guide (TMF-DP) makes path-breaking recommendations on the subject of data protection in research projects. …”
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    3LGM2IHE: Requirements for Data-Protection-Compliant Research Infrastructures—A Systematic Comparison of Theory and Practice-Oriented Implementation
  12. 288832
    “…Next, considering the selected features, the predictive performance of GNAM for predicting mortality outcome was compared with logistic regression, RF, generalized additive model (GAMs), gradient boosting decision tree (GBDT), and deep neural networks (DNNs) classification models. Each model trained on fifty different subsets of a train-test dataset to ensure a model performance. …”
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    Interpretable generalized neural additive models for mortality prediction of COVID-19 hospitalized patients in Hamadan, Iran
  13. 288833
    “…Detecting risk factors can help implement prevention measures. Using deep neural networks (DNNs), a machine-learning algorithm could be an alternative to Cox regression in tabular datasets with many predictive features. …”
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    Online Artículo Texto
    Machine learning for predicting neurodegenerative diseases in the general older population: a cohort study
  14. 288834
    “…Multiple machine learning algorithms were tested, including K-nearest neighbor, naive Bayes, support vector machines, random forest, extreme gradient boosting (XGBoost), and neural networks. The best performing model was identified in cross-validation by using the area under the receiver operating characteristic curve (AUROC). …”
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    Machine Learning–Based Prediction of Acute Kidney Injury Following Pediatric Cardiac Surgery: Model Development and Validation Study
  15. 288835
    “…In addition, we identified some TMPRSS2 and ACE2 microRNAs target regulatory networks in SARS-CoV-2 infection and thus open up a new window for microRNAs-based therapy for the treatment of SARS-CoV-2 infection. …”
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    In silico study of novel niclosamide derivatives, SARS-CoV-2 nonstructural proteins catalytic residue-targeting small molecules drug candidates
  16. 288836
    “…CONCLUSION: Our results extend the B. cereus SigB regulon to > 300 members, with a novel role of SigB-dependent Bc1009 in the activation of a subregulon of  > 180 members, conceivably via interactions with other transcriptional regulatory networks. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s12866-023-02783-3.…”
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    SigB modulates expression of novel SigB regulon members via Bc1009 in non-stressed and heat-stressed cells revealing its alternative roles in Bacillus cereus
  17. 288837
    por Yang, Yunju, Knol, Maria J, Wang, Ruiqi, Mishra, Aniket, Liu, Dan, Luciano, Michelle, Teumer, Alexander, Armstrong, Nicola, Bis, Joshua C, Jhun, Min A, Li, Shuo, Adams, Hieab H H, Aziz, Nasir Ahmad, Bastin, Mark E, Bourgey, Mathieu, Brody, Jennifer A, Frenzel, Stefan, Gottesman, Rebecca F, Hosten, Norbert, Hou, Lifang, Kardia, Sharon L R, Lohner, Valerie, Marquis, Pascale, Maniega, Susana Muñoz, Satizabal, Claudia L, Sorond, Farzaneh A, Valdés Hernández, Maria C, van Duijn, Cornelia M, Vernooij, Meike W, Wittfeld, Katharina, Yang, Qiong, Zhao, Wei, Boerwinkle, Eric, Levy, Daniel, Deary, Ian J, Jiang, Jiyang, Mather, Karen A, Mosley, Thomas H, Psaty, Bruce M, Sachdev, Perminder S, Smith, Jennifer A, Sotoodehnia, Nona, DeCarli, Charles S, Breteler, Monique M B, Ikram, M Arfan, Grabe, Hans J, Wardlaw, Joanna, Longstreth, W T, Launer, Lenore J, Seshadri, Sudha, Debette, Stephanie, Fornage, Myriam
    Publicado 2022
    “…Integrative cross-omics analysis identified 19 key regulatory genes in two networks related to extracellular matrix organization, and lipid and lipoprotein metabolism. …”
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    Epigenetic and integrative cross-omics analyses of cerebral white matter hyperintensities on MRI
  18. 288838
    “…We also used the cBioPortal, Human Protein Atlas (HPA), and GeneMANIA databases to explore the types of changes, gene networks and immunofluorescence localization, and protein expression of these genes. …”
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    Systematic pan-cancer analysis identifies cGAS as an immunological and prognostic biomarker
  19. 288839
    “…Tuning threshold values with environmental variables, such as pH, provide additional training and learning algorithms that can be used to elicit complex functionality within spiking neural networks. GRAPHICAL ABSTRACT: [Image: see text] SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1557/s43577-022-00344-z.…”
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    Heterosynaptic plasticity in biomembrane memristors controlled by pH
  20. 288840
    “…These data suggest that distinct isoform-related mechanisms of genetic tauopathies, with slightly divergent tau distribution, may share similar regional vulnerability to neurodegeneration within the frontotemporal paralimbic networks. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1007/s00401-022-02487-4.…”
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    Isoform-specific patterns of tau burden and neuronal degeneration in MAPT-associated frontotemporal lobar degeneration
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