AIMC Topic: Humans

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Evaluating a new verbal working memory-balance program: a double-blind, randomized controlled trial study on Iranian children with dyslexia.

BMC neuroscience
BACKGROUND: It is important to improve verbal Working Memory (WM) in reading disability, as it is a key factor in learning. There are commercial verbal WM training programs, which have some short-term effects only on the verbal WM capacity, not readi...

Deep Learning for Identification of Alcohol-Related Content on Social Media (Reddit and Twitter): Exploratory Analysis of Alcohol-Related Outcomes.

Journal of medical Internet research
BACKGROUND: Many social media studies have explored the ability of thematic structures, such as hashtags and subreddits, to identify information related to a wide variety of mental health disorders. However, studies and models trained on specific the...

Emotion Correlation Mining Through Deep Learning Models on Natural Language Text.

IEEE transactions on cybernetics
Emotion analysis has been attracting researchers' attention. Most previous works in the artificial-intelligence field focus on recognizing emotion rather than mining the reason why emotions are not or wrongly recognized. The correlation among emotion...

Wearable RF Near-Field Cough Monitoring by Frequency-Time Deep Learning.

IEEE transactions on biomedical circuits and systems
Coughing is a common symptom for many respiratory disorders, and can spread droplets of various sizes containing bacterial and viral pathogens. Mild coughs are usually overlooked in the early stage, not only because they are barely noticeable by the ...

History-taking revisited: Simple techniques to foster patient collaboration, improve data attainment, and establish trust with the patient.

GMS journal for medical education
The relevance and importance of the medical interview has been challenged with improved imaging technologies, web-based medicine, and use of artificial intelligence. The medical interview has three goals: Acquiring accurate medical data about the pat...

T Cell Epitope Prediction and Its Application to Immunotherapy.

Frontiers in immunology
T cells play a crucial role in controlling and driving the immune response with their ability to discriminate peptides derived from healthy as well as pathogenic proteins. In this review, we focus on the currently available computational tools for ep...

The Effect of Deep Learning-Based QSM Magnetic Resonance Imaging on the Subthalamic Nucleus.

Journal of healthcare engineering
In order to study the influence of quantitative magnetic susceptibility mapping (QSM) on them. A 2.5D Attention U-Net Network based on multiple input and multiple output, a method for segmenting RN, SN, and STN regions in high-resolution QSM images i...

Deep Integration of Physical Health Education Based on Intelligent Communication Technology.

Journal of healthcare engineering
In recent years, intelligent medical communication technology has developed rapidly, and the advancement of hardware technology has accelerated the development of software technology. Physical exercise breaks the limits of all aspects of the human bo...

Analysis of English Multitext Reading Comprehension Model Based on Deep Belief Neural Network.

Computational intelligence and neuroscience
In order to solve the problems of low accuracy and low efficiency of answer prediction in machine reading comprehension, a multitext English reading comprehension model based on the deep belief neural network is proposed. Firstly, the paragraph selec...

Construction and Drug Evaluation Based on Convolutional Neural Network System Optimized by Grey Correlation Analysis.

Computational intelligence and neuroscience
Incidence rate of mental illness is increasing year by year with the development of city. The amount of modern medical data is huge and complex. In many cases, it is difficult to realize the rational allocation of resources, which puts forward an urg...