AIMC Topic: Algorithms

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Understanding New Machine Learning Architectures: Practical Generative Artificial Intelligence for Anesthesiologists.

Anesthesiology
Recent advances in neural networks have given rise to generative artificial intelligence, systems able to produce fluent responses to natural questions or attractive and even photorealistic images from text prompts. These systems were developed throu...

Using Decomposed Error for Reproducing Implicit Understanding of Algorithms.

Evolutionary computation
Reproducibility is important for having confidence in evolutionary machine learning algorithms. Although the focus of reproducibility is usually to recreate an aggregate prediction error score using fixed random seeds, this is not sufficient. Firstly...

HRGCNLDA: Forecasting of lncRNA-disease association based on hierarchical refinement graph convolutional neural network.

Mathematical biosciences and engineering : MBE
Long non-coding RNA (lncRNA) is considered to be a crucial regulator involved in various human biological processes, including the regulation of tumor immune checkpoint proteins. It has great potential as both a cancer biomolecular biomarker and ther...

Cross-subject EEG-based emotion recognition through dynamic optimization of random forest with sparrow search algorithm.

Mathematical biosciences and engineering : MBE
The objective of EEG-based emotion recognition is to classify emotions by decoding signals, with potential applications in the fields of artificial intelligence and bioinformatics. Cross-subject emotion recognition is more difficult than intra-subjec...

Convolutional transformer-driven robust electrocardiogram signal denoising framework with adaptive parametric ReLU.

Mathematical biosciences and engineering : MBE
The electrocardiogram (ECG) is a widely used diagnostic tool for cardiovascular diseases. However, ECG recording is often subject to various noises, which can limit its clinical evaluation. To address this issue, we propose a novel Transformer-based ...

[Research on mode adjustment control strategy of upper limb rehabilitation robot based on fuzzy recognition of interaction force].

Sheng wu yi xue gong cheng xue za zhi = Journal of biomedical engineering = Shengwu yixue gongchengxue zazhi
In the process of robot-assisted training for upper limb rehabilitation, a passive training strategy is usually used for stroke patients with flaccid paralysis. In order to stimulate the patient's active rehabilitation willingness, the rehabilitation...

[Mental fatigue state recognition method based on convolution neural network and long short-term memory].

Sheng wu yi xue gong cheng xue za zhi = Journal of biomedical engineering = Shengwu yixue gongchengxue zazhi
The pace of modern life is accelerating, the pressure of life is gradually increasing, and the long-term accumulation of mental fatigue poses a threat to health. By analyzing physiological signals and parameters, this paper proposes a method that can...

Academic machine learning researchers' ethical perspectives on algorithm development for health care: a qualitative study.

Journal of the American Medical Informatics Association : JAMIA
OBJECTIVES: We set out to describe academic machine learning (ML) researchers' ethical considerations regarding the development of ML tools intended for use in clinical care.