AIMC Topic: Algorithms

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Multi-Modal Sleep Stage Classification With Two-Stream Encoder-Decoder.

IEEE transactions on neural systems and rehabilitation engineering : a publication of the IEEE Engineering in Medicine and Biology Society Jan 1, 2024
Sleep staging serves as a fundamental assessment for sleep quality measurement and sleep disorder diagnosis. Although current deep learning approaches have successfully integrated multimodal sleep signals, enhancing the accuracy of automatic sleep st...
Sleep Stages Male Deep Learning Female Electroencephalography Humans Young Adult Adult Neural Networks, Computer Algorithms Signal Processing, Computer-Assisted Polysomnography Electrooculography
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Research on prediction and evaluation algorithm of sports athletes performance based on neural network.

Technology and health care : official journal of the European Society for Engineering and Medicine Jan 1, 2024
BACKGROUND: The Ultimate Fighting Championship (UFC) stands as a prominent global platform for professional mixed martial arts, captivating audiences worldwide. With its continuous growth and globalization efforts, UFC events have garnered significan...
Algorithms Humans Athletic Performance Neural Networks, Computer Athletes Martial Arts
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FDB-Net: Fusion double branch network combining CNN and transformer for medical image segmentation.

Journal of X-ray science and technology Jan 1, 2024
BACKGROUND: The rapid development of deep learning techniques has greatly improved the performance of medical image segmentation, and medical image segmentation networks based on convolutional neural networks and Transformer have been widely used in ...
Algorithms Tomography, X-Ray Computed Deep Learning Humans Image Processing, Computer-Assisted Neural Networks, Computer
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Machine learning-based prediction of cerebral oxygen saturation based on multi-modal cerebral oximetry data.

Health informatics journal Jan 1, 2024
This study develops machine learning-based algorithms that facilitate accurate prediction of cerebral oxygen saturation using waveform data in the near-infrared range from a multi-modal oxygen saturation sensor. Data were obtained from 150,000 observ...
Humans Male Oxygen Oxygen Saturation Machine Learning Oximetry Algorithms Female
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Design and Stability Analysis of an Adaptive Neuro-Fuzzy Inference System (ANFIS)-Based Pacemaker Controller in MATLAB Simulink.

Journal of long-term effects of medical implants Jan 1, 2024
We present the design and stability analysis of an adaptive neuro-fuzzy inference system (ANFIS)-based controller of a pacemaker in MATLAB Simulink. ANFIS uses learning and speed properties of fuzzy and neural networks. Based on body states and prepr...
Heart Rate Pacemaker, Artificial Humans Neural Networks, Computer Algorithms Computer Simulation Fuzzy Logic Equipment Design
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DKCNN: Improving deep kernel convolutional neural network-based COVID-19 identification from CT images of the chest.

Journal of X-ray science and technology Jan 1, 2024
BACKGROUND: An efficient deep convolutional neural network (DeepCNN) is proposed in this article for the classification of Covid-19 disease.
Humans Neural Networks, Computer Pandemics COVID-19 Thorax Betacoronavirus Pneumonia, Viral Deep Learning Image Processing, Computer-Assisted Algorithms Coronavirus Infections Tomography, X-Ray Computed SARS-CoV-2
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Machine learning-driven predictions and interventions for cardiovascular occlusions.

Technology and health care : official journal of the European Society for Engineering and Medicine Jan 1, 2024
BACKGROUND: Cardiovascular diseases remain a leading cause of global morbidity and mortality, with heart attacks and strokes representing significant health challenges. The accurate, early diagnosis and management of these conditions are paramount in...
Myocardial Infarction Algorithms Cardiovascular Diseases Risk Assessment Male Stroke Humans Machine Learning
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Radiomics and Clinical Characters Based Gaussian Naive Bayes (GNB) Model for Preoperative Differentiation of Pulmonary Pure Invasive Mucinous Adenocarcinoma From Mixed Mucinous Adenocarcinoma.

Technology in cancer research & treatment Jan 1, 2024
To develop and validate predictive models based on clinical parameters, and radiomic features to distinguish pulmonary pure invasive mucinous adenocarcinoma (pIMA) from mixed mucinous adenocarcinoma (mIMA) before surgery. From January 2017 to Decem...
Lung Neoplasms Diagnosis, Differential Bayes Theorem Male Middle Aged ROC Curve Adenocarcinoma, Mucinous Algorithms Retrospective Studies Tomography, X-Ray Computed Female Aged Radiomics Humans Machine Learning
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Detection of Muscularis propria Invasion in Urothelial Carcinoma Using Artificial Intelligence.

Technology in cancer research & treatment Jan 1, 2024
Assessment of muscularis propria invasion is a crucial step in the management of urothelial carcinoma since it necessitates aggressive treatment. The diagnosis of muscle invasion is a challenging process for pathologists. Artificial intelligence is ...
Algorithms Female Aged Male Humans Artificial Intelligence Middle Aged Urinary Bladder Neoplasms Neoplasm Invasiveness Mucous Membrane Carcinoma, Transitional Cell
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A Preoperative Prediction Model for Lymph Node Metastasis in Patients with Gastric Cancer Using a Machine Learning-based Ultrasomics Approach.

Current medical imaging Jan 1, 2024
OBJECTIVE: This study aimed to develop an ultrasomics model for predicting lymph node metastasis preoperative in patients with gastric cancer (GC).
Lymph Nodes Lymphatic Metastasis Male Middle Aged Ultrasonography Machine Learning Algorithms Female Aged Stomach Neoplasms Humans Sensitivity and Specificity
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