/*
* Concept profile generation tool suite
* Copyright (C) 2015 Biosemantics Group, Erasmus University Medical Center,
* Rotterdam, The Netherlands
*
* This program is free software: you can redistribute it and/or modify
* it under the terms of the GNU Affero 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 Affero General Public License for more details.
*
* You should have received a copy of the GNU Affero General Public License
* along with this program. If not, see <http://www.gnu.org/licenses/>
*/
package casperSoftwareCode;
import java.util.HashMap;
import java.util.HashSet;
import java.util.Iterator;
import java.util.Map;
import java.util.Set;
import org.erasmusmc.utilities.ReadTextFile;
public class ExtractCUIsAndTermsFromMRCONSO {
public static Map<Integer, Set<String>> extractCuisAndTermsAsMap(String filename){
int cuiCol = 0;
int termTextCol = 14;
int cui = -1;
int prevCui =-1;
/** Add semantic type to each cui */
Map<Integer, Set<String>> conceptsWithTerms = new HashMap<Integer, Set<String>>();
Set<String> terms = new HashSet<String>();
ReadTextFile textFile = new ReadTextFile(filename);
Iterator<String> fileIterator = textFile.getIterator();
int lineCount = 0;
while (fileIterator.hasNext()) {
lineCount++;
if (lineCount % 500000 == 0)
System.out.println(lineCount+" lines processed in creating cui and term map for homonym check");
String line = fileIterator.next();
if (line.length() != 0) {
String[] columns = line.split("\\|");
if (CasperFilters.isMoreThan255(columns)) {
}
else if (CasperFilters.notRightLanguage(columns)) {
}
else if (CasperFilters.isSuppressable(columns)) {
}
else {
cui = Integer.parseInt(columns[cuiCol].trim().substring(1, columns[cuiCol].length()));
String term = columns[termTextCol].trim();
String newTermText = Rules.makeLowerCaseAndRemoveEos(term);
if (prevCui != cui) {
terms = new HashSet<String>();
conceptsWithTerms.put(cui, terms);
}
prevCui = cui;
terms.add(newTermText);
}
}
}
return conceptsWithTerms;
}
}