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Human Activity Recognition using Deep Learning Models on Smartphones and Smartwatches Sensor Data
Additionally, the CNN model for the watch accelerometer was better able to classify non-hand oriented activities when compared to hand-oriented activities.
Natural language processing of MIMIC-III clinical notes for identifying diagnosis and procedures with neural networks
In this paper, we report the performance of a natural language processing model that can map clinical notes to medical codes, and predict final diagnosis from unstructured entries of history of present illness, symptoms at the time of admission, etc.
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