Results 191 to 200 of about 421,206 (291)
Review on enhancing clinical decision support system using machine learning
Abstract Clinical decision‐making is a complex patient‐centred process. For an informed clinical decision, the input data is very thorough ranging from detailed family history, environmental history, social history, health‐risk assessments, and prior relevant medical cases.
Anum Masood +4 more
wiley +1 more source
Chinese spatial relation extraction model by integrating geographic semantic features. [PDF]
Ye P, Wang Y, Jiang Y, Xiao W.
europepmc +1 more source
Abstract Internet of Medical Things (IoMT) has typical advancements in the healthcare sector with rapid potential proof for decentralised communication systems that have been applied for collecting and monitoring COVID‐19 patient data. Machine Learning algorithms typically use the risk score of each patient based on risk factors, which could help ...
Chandramohan Dhasaratha +9 more
wiley +1 more source
Graph neural network‐based attack prediction for communication‐based train control systems
Abstract The Advanced Persistent Threats (APTs) have emerged as one of the key security challenges to industrial control systems. APTs are complex multi‐step attacks, and they are naturally diverse and complex. Therefore, it is important to comprehend the behaviour of APT attackers and anticipate the upcoming attack actions.
Junyi Zhao +3 more
wiley +1 more source
Enhancing Generalisation via Cascaded Inertia SGD With Learnt Hyperparameters
ABSTRACT A central challenge in deep learning lies in achieving strong model generalisation, an area in which conventional optimisers such as stochastic gradient descent (SGD) often exhibit limitations, even though they ensure convergence. This paper introduces cascaded inertia SGD (CISGD), a novel optimisation algorithm specifically designed to ...
Yongji Guan +3 more
wiley +1 more source
Prompt-Contrastive Learning for Zero-Shot Relation Extraction. [PDF]
Zhong X +5 more
europepmc +1 more source
CDFNet: Cross‐Modal Deep Fusion for Monocular 3D Semantic Scene Completion
ABSTRACT Semantic scene completion (SSC) aims to predict the semantic occupancy and geometry of 3D scenes. Recently, most studies focus on camera‐based approaches due to the rich visual cues of images and the cost‐effectiveness of cameras. However, these methods usually lack efficient fusion and fine‐grained processing of cross‐modal semantic ...
Xianjing Cheng +5 more
wiley +1 more source
A multi-layer annotated corpus for information extraction in Russian clinical NLP. [PDF]
Sultangaziyeva A +4 more
europepmc +1 more source
Children Sustain Their Attention on Spatial Scenes When Planning to Describe Spatial Relations Multimodally in Speech and Gesture. [PDF]
Ünal E, Karadöller DZ, Özyürek A.
europepmc +1 more source
Abstract Remarkably little is known about what factors drive success or failure in foreign policy. In part, this is because there is little fundamental agreement on what constitutes success or failure in this domain in the first place. This article engages with these shortcomings by comparing two similar regional order‐building initiatives overseen by ...
Benjamin Day
wiley +1 more source

