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. Author manuscript; available in PMC: 2011 Oct 1.
Published in final edited form as: J Biomed Inform. 2010 May 5;43(5):669–685. doi: 10.1016/j.jbi.2010.04.009

Table 4.

Four versions of the patient-specific algorithm with a synopsis of each. All four use a first phase of search that is non-patient-specific and a second phase that is patient-specific.

Acronym Algorithm Global vs Local Model Model Averaging Prediction
PSMBg-MA Patient-Specific Markov Blanket (global) – Model Averaged global yes Based on model averaging over models selected in both phases
PSMBg-MS Patient-Specific Markov Blanket (global) – Model Selection global no Based on the highest scoring model from models selected by PSMBg-MA
PSMBl-MA Patient-Specific Markov Blanket (local) – Model Averaged local yes Based on model averaging over models selected in both phases
PSMBl-MS Patient-Specific Markov Blanket (local) – Model Selection local no Based on the highest scoring model from models selected by PSMBl-MA