public List<Disease> getTopFiveProbableDisease() {
List<Integer> sympInNoOfDocs;
List<Disease> result = new ArrayList<Disease>();
List<Disease> allDisease = this.appDAO.getAllDisease();
for (Disease disease : allDisease) {
conditionalProbForEachSymp = new ArrayList<Double>();
this.prior = appDAO.getPrior(disease);
sympInNoOfDocs = appDAO.symptomsInNoOfDocs(disease.getDiseaseName());
for (Integer i : sympInNoOfDocs) {
Double num = (double) (i + 1);
Double den = (double) (disease.getDocCount() + 2);
conditionalProbForEachSymp.add(num / den);
}
disease.setProbabilty(
this.algorithm.classify(this.prior, inputFeatureVector, conditionalProbForEachSymp));
/*
* clear the bias
* for example if one/more of user symptom is absent in all docs
* but other symptoms matches.
*/
Integer biasedSympNo = 0;
for (int i = 0; i < inputFeatureVector.size(); i++) {
if (inputFeatureVector.get(i) == 1 && sympInNoOfDocs.get(i) == 0) {
biasedSympNo++;
}
}
disease.probabilty = disease.probabilty - biasedSympNo * 2;
disease.setDiseaseName(
disease.diseaseName.substring(0, 1).toUpperCase() + disease.diseaseName.substring(1));
result.add(disease);
}
Collections.sort(result, new DiseaseComparator());
Collections.reverse(result);
ArrayList<Disease> topFiv = new ArrayList<Disease>();
for (int i = 0; i < 5; i++) {
topFiv.add(result.get(i));
}
int sum = 0;
for (Disease d : topFiv) {
sum += d.probabilty;
}
for (Disease d : topFiv) {
d.probabilty = Math.ceil(100 - Math.abs(d.probabilty / sum * 100));
}
return topFiv;
}
@Override
public String getAboutDisease(Disease disease) {
disease.diseaseName = disease.getDiseaseName().toLowerCase();
return this.appDAO.getAboutDisease(disease);
}
