Fig. 2
From: Representation learning for clinical time series prediction tasks in electronic health records
Three different forms of the representation of patients. Here, patient may have various inpatient times (e.g., x,y,z). The tensor representation of each patient consists of multiple multi-hot vectors of N-dimensions (i.e., N=1309). The statistic-based representation is derived by operating summary statistics, and it gets a vector with N-dimensions. Typically, distributed representation is a better representation with D-dimensions (i.e., D=300), where D is much lower than N. a Tensor representation of patients. b Statistic-based representation of patients. c Distributed representation of patients