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Showing results for task e[au]
Your search for Zask E[au] retrieved no results
Solving high-dimensional partial differential equations using deep learning.
Han J, Jentzen A, E W. Han J, et al. Among authors: e w. Proc Natl Acad Sci U S A. 2018 Aug 21;115(34):8505-8510. doi: 10.1073/pnas.1718942115. Epub 2018 Aug 6. Proc Natl Acad Sci U S A. 2018. PMID: 30082389 Free PMC article.
Developing algorithms for solving high-dimensional partial differential equations (PDEs) has been an exceedingly difficult task for a long time, due to the notoriously difficult problem known as the "curse of dimensionality." ...
Developing algorithms for solving high-dimensional partial differential equations (PDEs) has been an exceedingly difficult task for a …
Clinical decision support system for hypertension medication based on knowledge graph.
Zhou G, E H, Kuang Z, Tan L, Xie X, Li J, Luo H. Zhou G, et al. Among authors: e h. Comput Methods Programs Biomed. 2022 Dec;227:107220. doi: 10.1016/j.cmpb.2022.107220. Epub 2022 Nov 2. Comput Methods Programs Biomed. 2022. PMID: 36371975
Along a predefined reasoning path in the KG, the CDSS finally accomplishes the hypertension medication by applying knowledge stored in the KG. 124 health records of a hypertension Chief Physician from Beijing Anzhen Hospital, Capital Medical University, are collected to evaluate …
Along a predefined reasoning path in the KG, the CDSS finally accomplishes the hypertension medication by applying knowledge stored in the K …
KFWC: A Knowledge-Driven Deep Learning Model for Fine-grained Classification of Wet-AMD.
E H, He J, Hu T, Yuan L, Zhang R, Zhang S, Wang Y, Song M, Wang L. E H, et al. Comput Methods Programs Biomed. 2023 Feb;229:107312. doi: 10.1016/j.cmpb.2022.107312. Epub 2022 Dec 15. Comput Methods Programs Biomed. 2023. PMID: 36584638
In the first stage, we present prior knowledge of 10 lesion signs through pre-training; in the second stage, the model implements the classification task with the help of human knowledge. With the pre-training of priori knowledge of 10 lesion signs from input images, KFWC …
In the first stage, we present prior knowledge of 10 lesion signs through pre-training; in the second stage, the model implements the classi …
DeePCG: Constructing coarse-grained models via deep neural networks.
Zhang L, Han J, Wang H, Car R, E W. Zhang L, et al. Among authors: e w. J Chem Phys. 2018 Jul 21;149(3):034101. doi: 10.1063/1.5027645. J Chem Phys. 2018. PMID: 30037247
We find that the two-body, three-body, and higher-order oxygen correlation functions produced by the coarse-grained and full atomistic models agree very well with each other, illustrating the effectiveness of the DeePCG model on a rather challenging task....
We find that the two-body, three-body, and higher-order oxygen correlation functions produced by the coarse-grained and full atomistic model …
Advantages and pitfalls in utilizing artificial intelligence for crafting medical examinations: a medical education pilot study with GPT-4.
E K, S P, R G, R KL, A B, M G, T O, S R, V R, H M, G S. E K, et al. BMC Med Educ. 2023 Oct 17;23(1):772. doi: 10.1186/s12909-023-04752-w. BMC Med Educ. 2023. PMID: 37848913 Free PMC article.
BACKGROUND: The task of writing multiple choice question examinations for medical students is complex, timely and requires significant efforts from clinical staff and faculty. ...
BACKGROUND: The task of writing multiple choice question examinations for medical students is complex, timely and requires significan …
MBNM: Multi-branch network based on memory features for long-tailed medical image recognition.
Zhang R, E H, Yuan L, He J, Zhang H, Zhang S, Wang Y, Song M, Wang L. Zhang R, et al. Among authors: e h. Comput Methods Programs Biomed. 2021 Nov;212:106448. doi: 10.1016/j.cmpb.2021.106448. Epub 2021 Oct 2. Comput Methods Programs Biomed. 2021. PMID: 34670168
MBNM includes three branches, where each branch focuses on a different learning task: 1) the regular learning branch learns the generalizable feature representations; 2) the tail learning branch gains extra intra-class diversity for the tail classes through the feature mem …
MBNM includes three branches, where each branch focuses on a different learning task: 1) the regular learning branch learns the gener …
A meta-analysis of cerebellar contributions to higher cognition from PET and fMRI studies.
E KH, Chen SH, Ho MH, Desmond JE. E KH, et al. Hum Brain Mapp. 2014 Feb;35(2):593-615. doi: 10.1002/hbm.22194. Epub 2012 Nov 5. Hum Brain Mapp. 2014. PMID: 23125108 Free PMC article.
In addition, we conducted inter- and intradomain comparisons for the cognitive domains of emotion, language, and working memory. We also considered task differences within the domain of verbal working memory by conducting a comparison of the Sternberg with the n-back ta
In addition, we conducted inter- and intradomain comparisons for the cognitive domains of emotion, language, and working memory. We also con …
The Difficulty to Break a Relational Complexity Network Can Predict Air Traffic Controllers' Mental Workload and Performance in Conflict Resolution.
Zhang J, E X, Du F, Yang J, Loft S. Zhang J, et al. Among authors: e x. Hum Factors. 2021 Mar;63(2):240-253. doi: 10.1177/0018720819880646. Epub 2019 Oct 16. Hum Factors. 2021. PMID: 31618105
The network rigidity index (NRI), and the steps to break the relational complexity network following a central-available-node-first rule, was hypothesized to explain the overall task demand, whereas marginal-effort-decrease rule was expected to explain the actual operation …
The network rigidity index (NRI), and the steps to break the relational complexity network following a central-available-node-first rule, wa …