Hi Shyam,
As per the output you are getting, *all* the terms are indeed medical terms.
For example, shark bite is infact a medical term with a valid UMLS and
SNOWMED CT codes.
So, the output you are getting is correct
I am in no way an expert on this, however, The little knowledge i have on
this topic i would like to suggest few things:
1) Check the IdentifiedAnnotation.java class since it contains all the
getters/setters for the annotations. You can select probably the ones you
want.
2) Also, There is a parameter in *JcasTermAnnotator* *class* called
*PARAM_EXC_TAGS_KEY, *which has default values like which words in the
sentence to annotate like verbs, nouns adjectives etc, you can play around
with that parameter to include only specific parts of speech.
Really sorry for giving such naive solutions, since i am also new in the
world of cTakes.
Hope it Helps,
Bandeep
On Thu, Oct 20, 2016 at 10:29 PM, Ks Sunder <shyam...@gmail.com> wrote:
> Hi All,
> Please help me on this issue,
>
> I have written below code..
>
> package com.shyam.Test;
>
> import java.util.ArrayList;
> import java.util.Arrays;
> import java.util.Collection;
>
> import org.apache.ctakes.clinicalpipeline.ClinicalPipelineFactory;
> import org.apache.ctakes.dictionary.lookup.ae.UmlsDictionaryLookupA
> nnotator;
> import org.apache.ctakes.typesystem.type.textsem.IdentifiedAnnotation;
> import org.apache.uima.UIMAException;
> import org.apache.uima.analysis_engine.AnalysisEngineDescription;
> import org.apache.uima.analysis_engine.AnalysisEngineProcessException;
> import org.apache.uima.cas.CASRuntimeException;
> import org.apache.uima.fit.factory.JCasFactory;
> import org.apache.uima.fit.pipeline.SimplePipeline;
> import org.apache.uima.fit.util.JCasUtil;
> import org.apache.uima.jcas.JCas;
> import org.apache.uima.resource.ResourceInitializationException;
>
> public class DefaultPipeLine {
> public static void main(String[] args) {
> try {
> final String note = " History of diabetes and hypertension."
> + " Mother had breast cancer."
> + " Sister with multiple sclerosis."
> + " The patient is suffering from extreme pain
> due to shark bite."
> + " Recommend continuing use of aspirin,
> oxycodone, and coumadin."
> + " Continue exercise for obesity and
> hypertension.";
>
>
> final JCas jcas = JCasFactory.createJCas();
> jcas.setDocumentText( note );
> // final AnalysisEngineDescription aed = ClinicalPipelineFactory.getDef
> aultPipeline();
> final AnalysisEngineDescription aed =
> ClinicalPipelineFactory.getFastPipeline(); // Outputs from default and
> fast pipelines are identical
> // final AnalysisEngineDescription uml =
> UmlsDictionaryLookupAnnotator.createAnnotatorDescription();
>
>
> SimplePipeline.runPipeline( jcas, aed );
>
> final Collection<String> codes = new ArrayList<>();
> for ( IdentifiedAnnotation entity : JCasUtil.select( jcas,
> IdentifiedAnnotation.class ) ) {
>
> System.out.println( "Entity: " + entity.getCoveredText()
> + " === Polarity: " + entity.getPolarity()
> );
> // System.out.println("!!!!!!!!!! Task is Completed
> !!!!!!!!!!!!!!!");
>
>
> }
>
>
> } catch (CASRuntimeException e) {
> // TODO Auto-generated catch block
> e.printStackTrace();
> } catch (AnalysisEngineProcessException e) {
> // TODO Auto-generated catch block
> e.printStackTrace();
> } catch (ResourceInitializationException e) {
> // TODO Auto-generated catch block
> e.printStackTrace();
> } catch (UIMAException e) {
> // TODO Auto-generated catch block
> e.printStackTrace();
> }
> }
> }
>
>
> o/p is :
>
> Entity: History of === Polarity: 1
> Entity: History === Polarity: 1
> Entity: diabetes === Polarity: 1
> Entity: hypertension === Polarity: 1
> Entity: breast cancer === Polarity: 1
> Entity: breast === Polarity: 1
> Entity: cancer === Polarity: 1
> Entity: multiple sclerosis === Polarity: 1
> Entity: sclerosis === Polarity: 1
> Entity: pain === Polarity: 1
> Entity: shark bite === Polarity: 1
> Entity: bite === Polarity: 1
> Entity: bite === Polarity: 1
> Entity: aspirin === Polarity: 1
> Entity: oxycodone === Polarity: 1
> Entity: oxycodone === Polarity: 1
> Entity: coumadin === Polarity: 1
> Entity: exercise === Polarity: 1
> Entity: obesity === Polarity: 1
> Entity: hypertension === Polarity: 1
>
> im getting non medical and medical terms , so how can avoid non medical
> terms , i want o/p is only medical terms .
>
> please help me.
>
> regards,
> shyam k.
>
