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1 function bnet = mk_qmr_bnet(G, inhibit, leak, prior, tabular_findings, onodes)
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2 % MK_QMR_BNET Make a QMR model
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3 % bnet = mk_qmr_bnet(G, inhibit, leak, prior)
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4 %
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5 % G(i,j) = 1 iff there is an arc from disease i to finding j
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6 % inhibit(i,j) = inhibition probability on i->j arc
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7 % leak(j) = inhibition prob. on leak->j arc
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8 % prior(i) = prob. disease i is on
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9 % tabular_findings = 1 means multinomial leaves (ignores leak/inhibit params)
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10 % = 0 means noisy-OR leaves (default = 0)
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11
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12 if nargin < 5, tabular_findings = 0; end
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13
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14 [Ndiseases Nfindings] = size(inhibit);
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15 N = Ndiseases + Nfindings;
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16 finding_node = Ndiseases+1:N;
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17 ns = 2*ones(1,N);
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18 dag = zeros(N,N);
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19 dag(1:Ndiseases, finding_node) = G;
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20 if nargin < 6, onodes = finding_node; end
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21 bnet = mk_bnet(dag, ns, 'observed', onodes);
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22
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23 for d=1:Ndiseases
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24 CPT = [1-prior(d) prior(d)];
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25 bnet.CPD{d} = tabular_CPD(bnet, d, CPT');
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26 end
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27
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28 for i=1:Nfindings
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29 fnode = finding_node(i);
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30 ps = parents(G, i);
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31 if tabular_findings
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32 bnet.CPD{fnode} = tabular_CPD(bnet, fnode);
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33 else
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34 bnet.CPD{fnode} = noisyor_CPD(bnet, fnode, leak(i), inhibit(ps, i));
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35 end
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36 end
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37
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38
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39
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40
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41
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