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Hidden Markov Models and Self Organizing Maps Applied to Stroke Incidence

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Figure

Figure 2. Sequences of states and observations in a Hidden Markov Model. Each state at time t results some value (observed value), according to some distribution
Figure 3. The result of 16 (=4 × 4) units of SOM applied to data of December from 2002 upto 2004
Table 1. RMSE of simple Markov Model and HMM, together with p-values.
Figure 5. Four basic weather states reduced from SOM of (3,2)-lattice. The graph a represented (a) “warm high pressure”; (b) “cold high pressure”; (c) “low pressure of rain”; (d) “cold low pressure”
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