阴性症状、疾病在推送结果中过滤

bigdata-web/src/main/java/org/diagbot/bigdata/work/ParamsDataProxy.java

@@ -5,6 +5,7 @@ import org.apache.commons.beanutils.BeanUtils;
 import org.diagbot.bigdata.util.BigDataConstants;
 import org.diagbot.nlp.feature.FeatureAnalyze;
 import org.diagbot.nlp.feature.FeatureType;
+import org.diagbot.nlp.util.Constants;
 import org.springframework.util.StringUtils;
 
 import javax.servlet.http.HttpServletRequest;
@@ -37,7 +38,6 @@ public class ParamsDataProxy {
         if (StringUtils.isEmpty(searchData.getResourceType())) {
             searchData.setResourceType(BigDataConstants.resource_type_o);
         }
-
         //所有信息参与推送
         searchData.setSymptom(searchData.getSymptom() + searchData.getVital()
                 + searchData.getLis() + searchData.getPacs() + searchData.getPast() + searchData.getOther());
@@ -187,7 +187,11 @@ public class ParamsDataProxy {
                 }
                 map.put("featureType", String.valueOf(featureMap.get("feature_type")));
                 map.put("featureName", String.valueOf(featureMap.get("feature_name")));
-                searchData.getInputs().put(map.get("feature_name"), map);
+                if (Constants.default_negative.equals(featureMap.get("negative"))) {
+                    searchData.getInputs().put(map.get("feature_name"), map);
+                } else {
+                    searchData.getFilters().put(map.get("feature_name"), map);
+                }
             }
         }
     }

bigdata-web/src/main/java/org/diagbot/bigdata/work/ResultDataProxy.java

@@ -88,6 +88,10 @@ public class ResultDataProxy {
         if (searchData.getInputs().get(result) != null && FeatureType.parse(featureType) != FeatureType.DIAG) {
             return false;
         }
+        //
+        if (searchData.getFilters().get(result) != null) {
+            return false;
+        }
         return true;
     }
 

common-service/src/main/java/org/diagbot/common/work/SearchData.java

@@ -32,8 +32,10 @@ public class SearchData {
 
     //模型
     protected String algorithmClassifyValue;
-
+    //推送条件
     private Map<String, Map<String, String>> inputs = new HashMap<>(10, 0.8f);
+    //阴性 页面录入数据需要对结果过滤的集合
+    private Map<String, Map<String, String>> filters = new HashMap<>(10, 0.8f);
 
     public List<LisDetail> getLisArr() {
         return lisArr;
@@ -192,4 +194,12 @@ public class SearchData {
     public void setAlgorithmClassifyValue(String algorithmClassifyValue) {
         this.algorithmClassifyValue = algorithmClassifyValue;
     }
+
+    public Map<String, Map<String, String>> getFilters() {
+        return filters;
+    }
+
+    public void setFilters(Map<String, Map<String, String>> filters) {
+        this.filters = filters;
+    }
 }

nlp/src/main/java/org/diagbot/nlp/feature/extract/CaseToken.java

@@ -31,7 +31,7 @@ public abstract class CaseToken {
     public abstract List<Map<String, Object>> analyze(LexemePath<Lexeme> lexemePath) throws Exception;
 
     protected void lookFeatures(List<Map<String, Object>> featuresList, int index, LexemePath<Lexeme> lexemePath, Lexeme lexeme, String featureType, NegativeEnum[] features) throws Exception {
-        this.lookFeatures(featuresList, index, lexemePath, lexeme, featureType, features, false);
+        this.lookFeatures(featuresList, index, lexemePath, lexeme, featureType, features, true);
     }
 
     public void lookFeatures(List<Map<String, Object>> featuresList, int index, LexemePath<Lexeme> lexemePath, Lexeme lexeme, String featureType, NegativeEnum[] features, boolean search_negative) throws Exception {
@@ -77,7 +77,7 @@ public abstract class CaseToken {
                 searched_position = Arrays.binarySearch(negative_words, cursorLexeme.getText());
                 if (searched_position > -1) {
                     isFind = true;
-//                    this.updateFeaturesMap(featuresList, cursorLexeme.getText(), lexeme, featureType);
+                    this.updateFeaturesMap(featuresList, "无", lexeme, featureType);
                     break;
                 }
             }

nlp/src/main/resources/push-tc.dict

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nlp/src/main/resources/tc.dict

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