AIMC Topic: Computer Simulation

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Which data subset should be augmented for deep learning? a simulation study using urothelial cell carcinoma histopathology images.

BMC bioinformatics
BACKGROUND: Applying deep learning to digital histopathology is hindered by the scarcity of manually annotated datasets. While data augmentation can ameliorate this obstacle, its methods are far from standardized. Our aim was to systematically explor...

Assessment of Natural Language Processing of Electronic Health Records to Measure Goals-of-Care Discussions as a Clinical Trial Outcome.

JAMA network open
IMPORTANCE: Many clinical trial outcomes are documented in free-text electronic health records (EHRs), making manual data collection costly and infeasible at scale. Natural language processing (NLP) is a promising approach for measuring such outcomes...

Basal ganglia network dynamics and function: Role of direct, indirect and hyper-direct pathways in action selection.

Network (Bristol, England)
Basal ganglia (BG) are a widely recognized neural basis for action selection, but its decision-making mechanism is still a difficult problem for researchers. Therefore, we constructed a spiking neural network inspired by the BG anatomical data. Simul...

An Intelligent Channel Estimation Algorithm Based on Extended Model for 5G-V2X.

Big data
Car networking systems based on 5G-V2X (vehicle-to-everything) have high requirements for reliability and low-latency communication to further improve communication performance. In the V2X scenario, this article establishes an extended model (basic e...

Discovery of ANO1 Inhibitors based on Machine learning and molecule docking simulation approaches.

European journal of pharmaceutical sciences : official journal of the European Federation for Pharmaceutical Sciences
Calcium-activated chloride channels (CaCCs) are chloride channels that are regulated according to intracellular calcium ion concentrations. The channel protein ANO1 is widely present in cells and is involved in physiological activities including cell...

Increasing transparency in machine learning through bootstrap simulation and shapely additive explanations.

PloS one
Machine learning methods are widely used within the medical field. However, the reliability and efficacy of these models is difficult to assess, making it difficult for researchers to identify which machine-learning model to apply to their dataset. W...

Modeling Production-Living-Ecological Space for Chengdu, China: An Analytical Framework Based on Machine Learning with Automatic Parameterization of Environmental Elements.

International journal of environmental research and public health
Cities worldwide are facing the dual pressures of growing population and land expansion, leading to the intensification of conflicts in urban productive-living-ecological spaces (PLES). Therefore, the question of "how to dynamically judge the differe...

Attention-Based Graph Neural Network for Label Propagation in Single-Cell Omics.

Genes
Single-cell data analysis has been at forefront of development in biology and medicine since sequencing data have been made available. An important challenge in single-cell data analysis is the identification of cell types. Several methods have been ...

A neurodynamic approach for nonsmooth optimal power consumption of intelligent and connected vehicles.

Neural networks : the official journal of the International Neural Network Society
This paper investigates a class of power consumption minimization and equalization for intelligent and connected vehicles cooperative system. Accordingly, a distributed optimization problem model related to power consumption and data rate of intellig...