Unsupervised Prediction of Negative Health Events Ahead of Time

31 Jan 2019 Anahita Hosseini Majid Sarrafzadeh

The emergence of continuous health monitoring and the availability of an enormous amount of time series data has provided a great opportunity for the advancement of personal health tracking. In recent years, unsupervised learning methods have drawn special attention of researchers to tackle the sparse annotation of health data and real-time detection of anomalies has been a central problem of interest... (read more)

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