A Novel Technique for Identifying Patients with ICU Needs Using Hemodynamic Features

<table>Schematic of the proposed algorithm. The proposed algorithm consists of two stages: training and testing. In the training stage 25 subjects’ data are used to extract features to classify patients from healthy subjects. In the test stage, subjects will be divided into three predefined groups of healthy, high risk, and patient, based on their assigned score.</table>

Advances in Fuzzy Systems

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Figure 1

Figure 1: A Novel Technique for Identifying Patients with ICU Needs Using Hemodynamic Features 