AIMC Topic: Humans

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Non-iterative learning machine for identifying CoViD19 using chest X-ray images.

Scientific reports
CoViD19 is a novel disease which has created panic worldwide by infecting millions of people around the world. The last significant variant of this virus, called as omicron, contributed to majority of cases in the third wave across globe. Though less...

Mapping the evidence on identity processes and identity-related interventions in the smoking and physical activity domains: a scoping review protocol.

BMJ open
INTRODUCTION: Smoking and insufficient physical activity (PA), independently but especially in conjunction, often lead to disease and (premature) death. For this reason, there is need for effective smoking cessation and PA-increasing interventions. I...

Ability to Predict Melanoma Within 5 Years Using Registry Data and a Convolutional Neural Network: A Proof of Concept Study.

Acta dermato-venereologica
Research relating to machine learning algorithms, including convolutional neural networks, has increased during the past 5 years. The aim of this pilot study was to investigate how accurately a convolutional neural network, trained on Swedish registr...

Exploring COVID-19-Related Stressors: Topic Modeling Study.

Journal of medical Internet research
BACKGROUND: The COVID-19 pandemic has affected the lives of people globally for over 2 years. Changes in lifestyles due to the pandemic may cause psychosocial stressors for individuals and could lead to mental health problems. To provide high-quality...

Comprehensive Evaluation of the Tendency of Vertical Collusion in Construction Bidding Based on Deep Neural Network.

Computational intelligence and neuroscience
To effectively diagnose and monitor the vertical collusion in construction project bidding, this paper developed a comprehensive evaluation model with deep neural network and transfer learning. By this model, the collusion characteristics of bidders,...

Improvement of Speech Recognition Technology in Piano Music Scene Based on Deep Learning of Internet of Things.

Computational intelligence and neuroscience
The main goal of speech recognition technology is to use computers to convert human analog speech signals into computer-generated signals, such as behavior patterns or binary codes. Different from speaker identification and speaker confirmation, the ...

Deep Learning Dual Neural Networks in the Construction of Learning Models for Online Courses in Piano Education.

Computational intelligence and neuroscience
The use of deep learning (DL) and artificial intelligence (AI) in teaching children piano lessons promotes modern piano instruction and enhances the overall quality of education. To begin, a more thorough explanation of the teaching environment and t...

Analysis and Research on the Impact of Physical Exercise on Residents' Health Based on the Improved BP Neural Network Model.

Journal of environmental and public health
With the rapid improvement of social economy and the enhancement of people's health awareness, it is necessary to make an in-depth analysis of the rationality of physical exercise and the physical quality of residents. Hence, this study aims to explo...

Perception of the Impact of Artificial Intelligence in the Decision-Making Processes of Public Healthcare Professionals.

Journal of environmental and public health
Technologies are increasingly independent and play important roles in society. Artificial intelligence (AI) is a branch of science that can improve various environments and processes. The health sector stands out among these contexts, especially opht...

When proxy-driven learning is no better than random: The consequences of representational incompleteness.

PloS one
Machine learning is widely used for personalisation, that is, to tune systems with the aim of adapting their behaviour to the responses of humans. This tuning relies on quantified features that capture the human actions, and also on objective functio...