Tuesday, June 26, 2018

Machine Learning and Deep Learning for Health Care

Two frequently used models are Convolutional Neural Network (CNN) and Recurrent Neural Network (RNN). Both are useful for recognizing structures in data.

Convolutional Neural Network (CNN) is useful for image recognition in medical imaging, diagnosis based on medical imaging, tumor diagnosis. Recurrent Neural Network is the less obvious one. It is useful for processing sequence data like sound, words, and time series data - understanding what will come next. Time series is good for heart disease over time, hormone level, blood sugar

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F1 Score - Machine Learning

F1 Score is an useful metric of classification models rather than regression machine learning models. It is an useful metrics for models tha...