Abstract
A method and apparatus may include receiving patient-specific data of a patient. The method can also include inputting the patient-specific data into an input layer of a 1D convolutional neural network. The method can also include inputting labels corresponding to the patient-specific data into an output layer of the 1D convolutional neural network. The method can also include training the 1D convolutional neural network with the inputted patient-specific data and labels. The 1D convolutional neural network is configured to detect abnormality within patient-specific data.
Original language | English |
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Patent number | US20180032689 |
Publication status | Published - 2018 |
Publication type | H1 Granted patent |