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The invention discloses a cardiovascular disease (CVD) prediction model using an extreme learning machine (ELM) algorithm based on single-hidden layer feed-forward neural networks (SLFNs), which means an ELPSO-ELM hybrid intelligent algorithm prediction model. The ELPSO-ELM hybrid intelligent ...
Acute kidney injury (AKI) after percutaneous coronary intervention (PCI) is associated with a significant risk of morbidity and mortality. The traditional risk model provided by the National Cardiovascular Data Registry (NCDR) is useful for predicting th
The research team utilized a Convolutional Long Short-Term Memory (ConvLSTM) neural network to construct a seasonal-scale Antarctic sea ice prediction model. Their forecast indicated that Antarctic sea ice would remain close to historical lows in February 2024, but there was less indication of it r...
Creating a machine learning prediction model is interesting, but the whole point is to use the model to make predictions. AutoML creates a subdirectory named SampleMulticlassClassification in the root People directory. You can specify a more descriptive name using the --name argument. The subdirecto...
ELM (Extreme Learning Machine) model can also be used to predict temperature and humidity in a greenhouse (Liu et al., 2016). To predict next sample, last three samples were used. Model’s hidden layer had 26 nodes and sin as activation function. ELM was proposed as a single hidden ...
This ensures the model is trained on well-organized, clean data, mitigating overfitting and enriching interpretability for machine learning algorithms. Source: Unsplash Model training In the subsequent step, model training implicates constructing a robust model using methods like boosting. This phase is ...
Machine learning prediction model of acute kidney injury after percutaneous coronary intervention ArticleOpen access14 January 2022 12 January 2024 Introduction Percutaneous coronary intervention (PCI) for patients with coronary artery disease (CAD) has become widely performed1. While advances in devices and...
Machine learning model is a lot more efficient than traditional simulation methods because it can return energy Declaration of competing interest The authors have no affiliation with any organization with a direct or indirect financial interest in the subject matter discussed in the manuscript....
class PoseModel { // 共17个特征点 let jointCount = 17 // 此模型会将图片分割成33*33的区块 let xBlocks = 33 let yBlicks = 33 // 所有特征组成的字典 var joints: [: Joint] = [ .nose: Joint(name: .nose), .leftEye: Joint(name: .leftEye), ...