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@@ -9,7 +9,6 @@ import org.slf4j.Logger;
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import org.slf4j.LoggerFactory;
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import java.util.ArrayList;
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-import java.util.Arrays;
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import java.util.List;
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/**
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@@ -34,8 +33,7 @@ public class BigDataParamsProxy {
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* @param searchData
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*/
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public AlgorithmClassify[] createAlgorithmClassify(String sysCode, String[] featureTypes, SearchData searchData) {
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- AlgorithmClassify[] classifies = new AlgorithmClassify[featureTypes.length];
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- List<AlgorithmClassify> algorithmClassifies = new ArrayList<>(Arrays.asList(classifies));
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+ List<AlgorithmClassify> algorithmClassifies = new ArrayList<>();
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//下了诊断且其他信息全为空 反推标识
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boolean reverse = !StringUtils.isEmpty(searchData.getDiag()) && StringUtils.isEmpty(searchData.getSymptom());
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for (int i = 0; i < featureTypes.length; i++) {
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@@ -44,64 +42,64 @@ public class BigDataParamsProxy {
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switch (FeatureType.parse(featureTypes[i])) {
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case SYMPTOM:
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if (reverse) {
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- algorithmClassifies.add(i,AlgorithmClassify.NEURAL_DIAG_SYMPTOM);
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+ algorithmClassifies.add(AlgorithmClassify.NEURAL_DIAG_SYMPTOM);
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} else {
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- algorithmClassifies.add(i,AlgorithmClassify.NEURAL_SYMPTOM);
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+ algorithmClassifies.add(AlgorithmClassify.NEURAL_SYMPTOM);
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}
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break;
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case DIAG:
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if (reverse) {
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- algorithmClassifies.add(i,null);
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+ algorithmClassifies.add(null);
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} else {
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- algorithmClassifies.add(i,AlgorithmClassify.NEURAL_DIAG);
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+ algorithmClassifies.add(AlgorithmClassify.NEURAL_DIAG);
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}
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break;
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case VITAL:
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if (reverse) {
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- algorithmClassifies.add(i,AlgorithmClassify.NEURAL_DIAG_VITAL);
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+ algorithmClassifies.add(AlgorithmClassify.NEURAL_DIAG_VITAL);
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} else {
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- algorithmClassifies.add(i,AlgorithmClassify.NEURAL_VITAL);
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+ algorithmClassifies.add(AlgorithmClassify.NEURAL_VITAL);
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}
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break;
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case LIS:
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if (reverse) {
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- algorithmClassifies.add(i,AlgorithmClassify.NEURAL_DIAG_LIS);
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+ algorithmClassifies.add(AlgorithmClassify.NEURAL_DIAG_LIS);
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} else {
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- algorithmClassifies.add(i,AlgorithmClassify.NEURAL_LIS);
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+ algorithmClassifies.add(AlgorithmClassify.NEURAL_LIS);
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}
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break;
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case PACS:
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if (reverse) {
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- algorithmClassifies.add(i,AlgorithmClassify.NEURAL_DIAG_PACS);
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+ algorithmClassifies.add(AlgorithmClassify.NEURAL_DIAG_PACS);
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} else {
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- algorithmClassifies.add(i,AlgorithmClassify.NEURAL_PACS);
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+ algorithmClassifies.add(AlgorithmClassify.NEURAL_PACS);
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}
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break;
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case TREAT:
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if (reverse) {
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- algorithmClassifies.add(i,AlgorithmClassify.NEURAL_DIAG_TREAT);
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+ algorithmClassifies.add(AlgorithmClassify.NEURAL_DIAG_TREAT);
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} else {
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- algorithmClassifies.add(i,AlgorithmClassify.NEURAL_TREAT);
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+ algorithmClassifies.add(AlgorithmClassify.NEURAL_TREAT);
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}
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break;
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case HISTORY:
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if (reverse) {
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- algorithmClassifies.add(i,AlgorithmClassify.NEURAL_DIAG_HISTORY);
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+ algorithmClassifies.add(AlgorithmClassify.NEURAL_DIAG_HISTORY);
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} else {
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- algorithmClassifies.add(i,AlgorithmClassify.NEURAL_HISTORY);
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+ algorithmClassifies.add(AlgorithmClassify.NEURAL_HISTORY);
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}
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break;
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}
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}
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}
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- AlgorithmClassify[] classifies_new = new AlgorithmClassify[algorithmClassifies.size()];
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- algorithmClassifies.toArray(classifies_new);
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- return classifies_new;
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+ AlgorithmClassify[] classifies = new AlgorithmClassify[algorithmClassifies.size()];
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+ algorithmClassifies.toArray(classifies);
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+ return classifies;
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}
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}
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