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Artificial Intelligence in Medicine （ARTMED） - Volume 118 论文列表

点击这里查看 Artificial Intelligence in Medicine 的JCR分区、影响因子等信息
卷期号： Volume 118
发布时间： August 2021
卷期年份： 2021
卷期官网： https://www.sciencedirect.com/journal/artificial-intelligence-in-medicine/vol/118/suppl/C
本期论文列表
Editorial Board

Fully-channel regional attention network for disease-location recognition with tongue images

Med7: A transferable clinical natural language processing model for electronic health records

A progressive deep wavelet cascade classification model for epilepsy detection

Simultaneous segmentation and classification of the retinal arteries and veins from color fundus images

Health issue identification in social media based on multi-task hierarchical neural networks with topic attention

The Physiological Deep Learner: First application of multitask deep learning to predict hypotension in critically ill patients

Enhancing evidence-based medicine with natural language argumentative analysis of clinical trials

MvKFN-MDA: Multi-view Kernel Fusion Network for miRNA-disease association prediction

Decision support for comorbid conditions via execution-time integration of clinical guidelines using transaction-based semantics and temporal planning

A framework to extract biomedical knowledge from gluten-related tweets: The case of dietary concerns in digital era

Multi-feature representation for burn depth classification via burn images

Circumpapillary OCT-focused hybrid learning for glaucoma grading using tailored prototypical neural networks

Tracking leukocytes in intravital time lapse images using 3D cell association learning network

AIOSA: An approach to the automatic identification of obstructive sleep apnea events based on deep learning

Network differentiation: A computational method of pathogenesis diagnosis in traditional Chinese medicine based on systems science

An explainable AI system for automated COVID-19 assessment and lesion categorization from CT-scans

A novel convolutional neural network for reconstructing surface electrocardiograms from intracardiac electrograms and vice versa

Data-based algorithms and models using diabetics real data for blood glucose and hypoglycaemia prediction – A systematic literature review