… Q waves on the baseline electrocardiogram were all associated … Neural networks have
several advantages that make them … logistic regression and artificial neural networks with the aim …

… Electrocardiogram (ECG)is a common clinical diagnosis of … the existing medical resources,
the use of artificial intelligence … these limitations of increasingly urgent demand, the use of …

… Artificial intelligence and neural networks play a critical role … that has been widely used
because of its advantages of no pain, no … Performing complex motor tasks requires high levels of …

… also promoting the advancement of artificial intelligence. Deep learning … , audio retrieve,
electrocardiogram classification, object … Some advantages and remained issues of convolutional …

… Progression of artificial intelligence applied in diagnosis and … Artificial intelligence (AI) has
broken through the limitations … depression on admission electrocardiogram in patients with …

… these problems, researches have focused on systems using … to be artefactual (under
standard clinical recording techniques). … , artificial intelligence, and several other exciting fields. …

… In addition, its limitations, existing problems and future … Artificial intelligenceassisted
remote detection of ST-elevation myocardial infarction using a mini-12-lead electrocardiogram …

… of medical image analysis. DL techniques have been … information and shows many unique
advantages in solving small-… and can be used in classification and regression problems. The …

… Electrocardiogram pattern recognition and analysis based on artificial neural networks and
… green mode to describe several aspects of the current teachers mental health problems,and …

… ischemia is a crucial and challenging problem in … electrocardiogram (ECG) is investigated
by using cardiodynamicsgram (CDG). Firstly, by analyzing the advantages and disadvantages …