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PTB-XL, a large publicly available electrocardiography dataset
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Interpreting Deep Neural Networks for Single-Lead ECG Arrhythmia Classification
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Variations in common diseases, hospital admissions, and deaths in middle-aged adults in 21 countries from five continents (PURE): a prospective cohort study
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A 12-lead electrocardiogram database for arrhythmia research covering more than 10,000 patients
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Opportunities and challenges of deep learning methods for electrocardiogram data: A systematic review
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PyTorch: An Imperative Style, High-Performance Deep Learning Library
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Hidden stratification causes clinically meaningful failures in machine learning for medical imaging
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InceptionTime: Finding AlexNet for time series classification
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An artificial intelligence-enabled ECG algorithm for the identification of patients with atrial fibrillation during sinus rhythm: a retrospective analysis of outcome prediction
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Age and Sex Estimation Using Artificial Intelligence From Standard 12-Lead ECGs
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The CAFA challenge reports improved protein function prediction and new functional annotations for hundreds of genes through experimental screens
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PyWavelets: A Python package for wavelet analysis
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Automatic diagnosis of the 12-lead ECG using a deep neural network
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Deep learning-based electroencephalography analysis: a systematic review
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Screening for cardiac contractile dysfunction using an artificial intelligence–enabled electrocardiogram
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Cardiologist-level arrhythmia detection and classification in ambulatory electrocardiograms using a deep neural network
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A deep neural network learning algorithm outperforms a conventional algorithm for emergency department electrocardiogram interpretation.
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Bag of Tricks for Image Classification with Convolutional Neural Networks
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Deep learning for time series classification: a review
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An Open Access Database for Evaluating the Algorithms of Electrocardiogram Rhythm and Morphology Abnormality Detection
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Hierarchical Multi-Label Classification Networks
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Electrocardiogram Sampling Frequency Range Acceptable for Heart Rate Variability Analysis
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Detecting and interpreting myocardial infarction using fully convolutional neural networks
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A disciplined approach to neural network hyper-parameters: Part 1 - learning rate, batch size, momentum, and weight decay
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Universal Language Model Fine-tuning for Text Classification
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ECG signals classification: a review
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Fixing Weight Decay Regularization in Adam
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Computer-Interpreted Electrocardiograms: Benefits and Limitations.
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Inferior myocardial infarction detection using stationary wavelet transform and machine learning approach
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Techniques for visualizing LSTMs applied to electrocardiograms
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Deep Learning for Time-Series Analysis
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Simple and Scalable Predictive Uncertainty Estimation using Deep Ensembles
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Time series classification from scratch with deep neural networks: A strong baseline
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A Unified View of Multi-Label Performance Measures
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Multi-Scale Convolutional Neural Networks for Time Series Classification
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The Great Time Series Classification Bake Off: An Experimental Evaluation of Recently Proposed Algorithms. Extended Version
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Novel Bloodless Potassium Determination Using a Signal‐Processed Single‐Lead ECG
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Deep Residual Learning for Image Recognition
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On Pixel-Wise Explanations for Non-Linear Classifier Decisions by Layer-Wise Relevance Propagation
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Teaching the interpretation of electrocardiograms: which method is best?
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Sex differences in the mechanisms underlying long QT syndrome.
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A Review on Multi-Label Learning Algorithms
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Learning Phrase Representations using RNN Encoder–Decoder for Statistical Machine Translation
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Predicting “Heart Age” Using Electrocardiography
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QT/RR curvatures in healthy subjects: sex differences and covariates.
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Nutzung der EKG-Signaldatenbank CARDIODAT der PTB über das Internet
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ImageNet: A large-scale hierarchical image database
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Competency in Interpretation of 12-Lead Electrocardiograms: A Summary and Appraisal of Published Evidence
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A brief note on overlapping confidence intervals.
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ECG pattern recognition and classification using non-linear transformations and neural networks: A review
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Code repository: Deep learning for ECG analysis
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Opportunities and Challenges in Deep Learning Methods on Electrocardiogram Data: A Systematic Review
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Explainable AI: Interpreting, Explaining and Visualizing Deep Learning
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“National Ambulatory Medical Care Survey: 2016 National Sum-mary Tables,”
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Supplementary for: Deep learning with convolutional neural networks for EEG decoding and visualization
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Computer-assisted electrocardiography, International Organization for Standardization
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“Health informatics – Standard communication protocol – Part 91064: Computer-assisted electrocardiography,”
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Measuring Psychological Uncertainty : Verbal Versus Numeric Methods
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Physionet: Components of a New Research Resource for Complex Physiologic Signals". Circu-lation Vol
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Noname manuscript No. (will be inserted by the editor) A Survey of Hierarchical Classification Across Different Application Domains
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The Aquila Digital Community The Aquila Digital Community
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on precomputed statistical features such as wavelets. Here we loosely follow [33] and train a classifier on wavelet features
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order to produce a single prediction for the whole sample