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The following term was not found in PubMed: semantie
Page 1
Did you mean dual semantic data model【计】 (217 results)?
Archetype modeling methodology.
Moner D, Maldonado JA, Robles M. Moner D, et al. J Biomed Inform. 2018 Mar;79:71-81. doi: 10.1016/j.jbi.2018.02.003. Epub 2018 Feb 14. J Biomed Inform. 2018. PMID: 29454107 Free article.
Clinical Information Models (CIMs) expressed as archetypes play an essential role in the design and development of current Electronic Health Record (EHR) information structures. Although there exist many experiences about using archetypes in the literature, a comprehensive …
Clinical Information Models (CIMs) expressed as archetypes play an essential role in the design and development of current Electronic …
Adaptive Hierarchical Dual Consistency for Semi-Supervised Left Atrium Segmentation on Cross-Domain Data.
Chen J, Zhang H, Mohiaddin R, Wong T, Firmin D, Keegan J, Yang G. Chen J, et al. IEEE Trans Med Imaging. 2022 Feb;41(2):420-433. doi: 10.1109/TMI.2021.3113678. Epub 2022 Feb 2. IEEE Trans Med Imaging. 2022. PMID: 34534077
Semi-supervised learning provides great significance in left atrium (LA) segmentation model learning with insufficient labelled data. Generalising semi-supervised learning to cross-domain data is of high importance to further improve model robustness. …
Semi-supervised learning provides great significance in left atrium (LA) segmentation model learning with insufficient labelled da
A dual-parameter identification approach for data-based predictive modeling of hybrid gene regulatory network-growth kinetics in Pseudomonas putida mt-2.
Tsipa A, Pitt JA, Banga JR, Mantalaris A. Tsipa A, et al. Bioprocess Biosyst Eng. 2020 Sep;43(9):1671-1688. doi: 10.1007/s00449-020-02360-2. Epub 2020 May 6. Bioprocess Biosyst Eng. 2020. PMID: 32377941
As parameter estimation of complex biological models remains a key challenge, we used the updated model to present a dual-parameter identification approach (the 'dual approach') combining two independent methodologies. ...These results demonstrated …
As parameter estimation of complex biological models remains a key challenge, we used the updated model to present a dual
Data driven mixed effects modeling of the dual process framework of addiction among individuals with alcohol use disorder.
Everett RA, Lewis AL, Kuerbis A, Peace A, Li J, Morgenstern J. Everett RA, et al. PLoS One. 2023 Aug 7;18(8):e0265168. doi: 10.1371/journal.pone.0265168. eCollection 2023. PLoS One. 2023. PMID: 37549160 Free PMC article.
Because so much remains unknown about the factors that contribute to successful moderated drinking, we use dynamical systems modeling to identify mechanisms of behavior change. Daily alcohol consumption and daily desire (i.e., craving) are modeled using a system of …
Because so much remains unknown about the factors that contribute to successful moderated drinking, we use dynamical systems modeling
A practical design for a dual-agent dose-escalation trial that incorporates pharmacokinetic data.
Cotterill A, Lorand D, Wang J, Jaki T. Cotterill A, et al. Stat Med. 2015 Jun 15;34(13):2138-64. doi: 10.1002/sim.6482. Epub 2015 Mar 24. Stat Med. 2015. PMID: 25809576
Pharmacokinetic data are often available but are currently only utilised by clinical teams in a subjective manner to aid decision making if the dose-toxicity model recommendation is felt to be too high. ...Such an approach is investigated in the dual-agent se …
Pharmacokinetic data are often available but are currently only utilised by clinical teams in a subjective manner to aid decision mak …
Quantitative analysis of near infrared spectroscopic data based on dual-band transformation and competitive adaptive reweighted sampling.
Li Y, Yang X. Li Y, et al. Spectrochim Acta A Mol Biomol Spectrosc. 2023 Jan 15;285:121924. doi: 10.1016/j.saa.2022.121924. Epub 2022 Oct 2. Spectrochim Acta A Mol Biomol Spectrosc. 2023. PMID: 36208577
This technique has been widely used in the fields of quantitative determination and substance content analysis. However, for complex NIR spectral data, most traditional machine learning models cannot carry out effective quantitative analyses (manifested as underfitt …
This technique has been widely used in the fields of quantitative determination and substance content analysis. However, for complex NIR spe …
A progressively dual reconstruction network for plane wave beamforming with both paired and unpaired training data.
Gao J, Xu L, Zou Q, Zhang B, Wang D, Wan M. Gao J, et al. Ultrasonics. 2023 Jan;127:106833. doi: 10.1016/j.ultras.2022.106833. Epub 2022 Aug 28. Ultrasonics. 2023. PMID: 36070635
Specifically, the proposed model contains a progressive network and a dual network to form a close loop and provide collaborative supervision for model optimization. The progressive network takes the channel delay of each spatial point as input and progressiv …
Specifically, the proposed model contains a progressive network and a dual network to form a close loop and provide collaborat …
An integrated dual-process model for coping behaviour.
Keech JJ, Hamilton K. Keech JJ, et al. Stress Health. 2022 Aug;38(3):591-601. doi: 10.1002/smi.3121. Epub 2021 Dec 21. Stress Health. 2022. PMID: 34921495
Stress management interventions have traditionally aimed to change coping behaviour with little attention to mechanisms that drive behaviour change. We sought to test an integrated dual-process model, accounting for reasoned and automatic processes, for predicting p …
Stress management interventions have traditionally aimed to change coping behaviour with little attention to mechanisms that drive behaviour …
Automatic biases in intertemporal choice.
Zhao WJ, Diederich A, Trueblood JS, Bhatia S. Zhao WJ, et al. Psychon Bull Rev. 2019 Apr;26(2):661-668. doi: 10.3758/s13423-019-01579-9. Psychon Bull Rev. 2019. PMID: 30838528
Dual process theories of intertemporal decision making propose that decision makers automatically favor immediate rewards. ...We fit our model to individual-level choice and response time data, and find that automatic biases (as measured though the starting p
Dual process theories of intertemporal decision making propose that decision makers automatically favor immediate rewards. ...We fit
Estimation of FMO3 Ontogeny by Mechanistic Population Pharmacokinetic Modelling of Risdiplam and Its Impact on Drug-Drug Interactions in Children.
Cleary Y, Kletzl H, Grimsey P, Heinig K, Ogungbenro K, Silber Baumann HE, Frey N, Aarons L, Galetin A, Gertz M. Cleary Y, et al. Clin Pharmacokinet. 2023 Jun;62(6):891-904. doi: 10.1007/s40262-023-01241-7. Epub 2023 May 6. Clin Pharmacokinet. 2023. PMID: 37148485 Free PMC article.
A total of 10,205 risdiplam plasma concentration-time data from 525 subjects aged 2 months-61 years were included. Six different structural models were examined to describe the in vivo FMO3 ontogeny. ...CONCLUSION: Mech-PPK modelling successfully estimated in …
A total of 10,205 risdiplam plasma concentration-time data from 525 subjects aged 2 months-61 years were included. Six different stru …
18,813 results
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