org.drugis.addis.presentation.StudyGraphModel.java Source code

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/*
 * This file is part of ADDIS (Aggregate Data Drug Information System).
 * ADDIS is distributed from http://drugis.org/.
 * Copyright (C) 2009 Gert van Valkenhoef, Tommi Tervonen.
 * Copyright (C) 2010 Gert van Valkenhoef, Tommi Tervonen, 
 * Tijs Zwinkels, Maarten Jacobs, Hanno Koeslag, Florin Schimbinschi, 
 * Ahmad Kamal, Daniel Reid.
 * Copyright (C) 2011 Gert van Valkenhoef, Ahmad Kamal, 
 * Daniel Reid, Florin Schimbinschi.
 * Copyright (C) 2012 Gert van Valkenhoef, Daniel Reid, 
 * Jol Kuiper, Wouter Reckman.
 *
 * This program is free software: you can redistribute it and/or modify
 * it under the terms of the GNU General Public License as published by
 * the Free Software Foundation, either version 3 of the License, or
 * (at your option) any later version.
 *
 * This program is distributed in the hope that it will be useful,
 * but WITHOUT ANY WARRANTY; without even the implied warranty of
 * MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE.  See the
 * GNU General Public License for more details.
 *
 * You should have received a copy of the GNU General Public License
 * along with this program.  If not, see <http://www.gnu.org/licenses/>.
 */

package org.drugis.addis.presentation;

import java.util.ArrayList;
import java.util.Collection;
import java.util.HashMap;
import java.util.HashSet;
import java.util.List;
import java.util.Map;
import java.util.Set;

import javax.swing.event.ListDataEvent;
import javax.swing.event.ListDataListener;

import org.apache.commons.collections15.CollectionUtils;
import org.drugis.addis.entities.DrugSet;
import org.drugis.addis.entities.OutcomeMeasure;
import org.drugis.addis.entities.Study;
import org.jgrapht.graph.ListenableUndirectedGraph;

import com.jgoodies.binding.list.ObservableList;

@SuppressWarnings("serial")
public class StudyGraphModel extends ListenableUndirectedGraph<StudyGraphModel.Vertex, StudyGraphModel.Edge> {
    public static class Vertex {
        private DrugSet d_drug;
        private int d_sampleSize;

        public Vertex(DrugSet drug, int size) {
            d_drug = drug;
            d_sampleSize = size;
        }

        public DrugSet getDrug() {
            return d_drug;
        }

        public int getSampleSize() {
            return d_sampleSize;
        }

        @Override
        public String toString() {
            return d_drug.getLabel();
        }
    }

    public static class Edge {
        private int d_studies;

        public Edge(int studies) {
            d_studies = studies;
        }

        public int getStudyCount() {
            return d_studies;
        }

        public void setStudyCount(int studies) {
            d_studies = studies;
        }

        @Override
        public String toString() {
            return Integer.toString(d_studies);
        }
    }

    protected ObservableList<DrugSet> d_drugs;
    private ObservableList<Study> d_studies;
    protected boolean d_rebuildNeeded;
    private final ValueHolder<OutcomeMeasure> d_om;
    private Map<DrugSet, Set<Study>> d_studiesMeasuringDrug;

    public StudyGraphModel(ObservableList<Study> studies, ObservableList<DrugSet> drugs,
            ValueHolder<OutcomeMeasure> om) {
        super(Edge.class);

        d_drugs = drugs;
        d_studies = studies;
        d_om = om;

        ListDataListener rebuildNeededListener = new ListDataListener() {
            public void intervalRemoved(ListDataEvent e) {
                d_rebuildNeeded = true;
            }

            public void intervalAdded(ListDataEvent e) {
                d_rebuildNeeded = true;
            }

            public void contentsChanged(ListDataEvent e) {
                d_rebuildNeeded = true;
            }
        };

        d_rebuildNeeded = true;
        d_studies.addListDataListener(rebuildNeededListener);
        d_drugs.addListDataListener(rebuildNeededListener);

        rebuildGraph();
    }

    public void rebuildGraph() {
        if (!d_rebuildNeeded) {
            return;
        }

        initStudiesMeasuringDrug();

        // Add vertices
        ArrayList<Vertex> verts = new ArrayList<Vertex>(vertexSet());
        removeAllVertices(verts);
        for (DrugSet d : d_drugs) {
            addVertex(new Vertex(d, calculateSampleSize(d)));
        }

        // Add edges
        ArrayList<Edge> edges = new ArrayList<Edge>(edgeSet());
        removeAllEdges(edges);
        for (int i = 0; i < (d_drugs.size() - 1); ++i) {
            for (int j = i + 1; j < d_drugs.size(); ++j) {
                Collection<Study> studies = getStudies(d_drugs.get(i), d_drugs.get(j));
                if (studies.size() > 0) {
                    addEdge(findVertex(d_drugs.get(i)), findVertex(d_drugs.get(j)), new Edge(studies.size()));
                }
            }
        }

        d_rebuildNeeded = false;
    }

    private void initStudiesMeasuringDrug() {
        d_studiesMeasuringDrug = new HashMap<DrugSet, Set<Study>>();

        for (DrugSet d : d_drugs) {
            d_studiesMeasuringDrug.put(d, new HashSet<Study>());
        }

        for (Study s : d_studies) {
            for (DrugSet d : s.getMeasuredDrugs(d_om.getValue())) {
                if (d_drugs.contains(d)) {
                    d_studiesMeasuringDrug.get(d).add(s);
                }
            }
        }
    }

    public Vertex findVertex(DrugSet drug) {
        for (Vertex v : vertexSet()) {
            if (v.getDrug().equals(drug)) {
                return v;
            }
        }
        return null;
    }

    private int calculateSampleSize(DrugSet d) {
        int n = 0;
        for (Study s : getStudies(d)) {
            n += s.getSampleSize();
        }
        return n;
    }

    /**
     * Return the list of drugs that are included in at least one of the studies having the correct indication
     * and outcome.
     */
    public List<DrugSet> getDrugs() {
        return d_drugs;
    }

    /**
     * Return the studies with the correct indication and outcome that compare the given drugs.
     */
    public Collection<Study> getStudies(DrugSet a, DrugSet b) {
        return CollectionUtils.intersection(getStudies(a), getStudies(b));
    }

    /**
     * Return the studies with the correct indication and outcome that include the given drug.
     */
    public Collection<Study> getStudies(DrugSet d) {
        return d_studiesMeasuringDrug.get(d);
    }
}