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@@ -1,189 +0,0 @@
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-package com.lantone.qc.kernel.catalogue.hospital.changx.behospitalized;
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-
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-import com.alibaba.fastjson.JSONArray;
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-import com.lantone.qc.kernel.catalogue.QCCatalogue;
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-import com.lantone.qc.kernel.client.ChiefPresentSimilarityServiceClient;
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-import com.lantone.qc.kernel.structure.ai.ModelAI;
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-import com.lantone.qc.pub.model.InputInfo;
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-import com.lantone.qc.pub.model.OutputInfo;
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-import com.lantone.qc.pub.model.entity.Diag;
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-import com.lantone.qc.pub.model.entity.GeneralDesc;
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-import com.lantone.qc.pub.model.entity.Negative;
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-import com.lantone.qc.pub.model.label.DiagLabel;
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-import com.lantone.qc.pub.model.label.PastLabel;
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-import com.lantone.qc.pub.model.label.PresentLabel;
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-import com.lantone.qc.pub.util.StringUtil;
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-import org.apache.commons.lang3.StringUtils;
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-import org.springframework.beans.factory.annotation.Autowired;
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-import org.springframework.stereotype.Component;
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-
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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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-import java.util.Map;
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-
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-
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-/**
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- * @ClassName : BEH02980
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- * @Description : 病历前后描述不一致
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- * @Author : Mark
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- * @Date: 2020-06-23 11:02
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- */
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-@Component
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-public class BEH02980 extends QCCatalogue {
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- @Autowired
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- ChiefPresentSimilarityServiceClient chiefPresentSimilarityServiceClient;
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-
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- private List<String> containList = Arrays.asList("脑萎缩", "慢性", "纤颤", "高血压", "糖尿", "冠状", "冠心病", "支架", "起搏器", "房颤", "风湿");
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- private List<String> filterList = Arrays.asList("心脏病", "低血糖", "急性", ";");
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-
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- public void start(InputInfo inputInfo, OutputInfo outputInfo) {
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- status.set("0");
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- PresentLabel presentLabel = inputInfo.getBeHospitalizedDoc().getPresentLabel();
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- DiagLabel initialDiagLabel = inputInfo.getBeHospitalizedDoc().getInitialDiagLabel();
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- PastLabel pastLabel = inputInfo.getBeHospitalizedDoc().getPastLabel();
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-
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- List<String> pos_diags = new ArrayList<>();
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- List<String> neg_diags = new ArrayList<>();
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- //现病史需要取一般情况之后疾病
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- if (presentLabel != null) {
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- List<GeneralDesc> generals = presentLabel.getGenerals();
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- if (generals.size() > 0) {
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- String presentText = presentLabel.getText();
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- List<Diag> presentDiags = presentLabel.getDiags();
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- /* 取现病史中一般情况之后的疾病名称 */
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- if (StringUtil.isNotBlank(presentText) && presentDiags.size() > 0) {
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- String lastGeneral = generals.get(generals.size() - 1).getName();
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- int lastGeneralIndex = presentText.indexOf(lastGeneral);
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- for (Diag presentDiag : presentDiags) {
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- if (presentDiag.getNegative() != null || presentDiag.getHospitalDiagName().contains("否认")) {
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- continue;
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- }
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- /* 现病史中一般情况之后的疾病名称 */
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- if (presentText.indexOf(presentDiag.getHospitalDiagName()) > lastGeneralIndex) {
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- if (isContains(presentDiag.getHospitalDiagName()) && !isFilter(presentDiag.getHospitalDiagName())) {
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- String dgname = presentDiag.getHospitalDiagName();
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- if (presentDiag.getNegative()==null) {
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- if (!pos_diags.contains(dgname)) {
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- pos_diags.add(dgname);
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- }
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- }
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- else {
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- if (!neg_diags.contains(dgname)) {
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- neg_diags.add(dgname);
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- }
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- }
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- }
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- }
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- }
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- }
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- }
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- }
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-
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-
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- if (pastLabel != null && StringUtils.isNotEmpty(pastLabel.getText())) {
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- extract_diags(pastLabel.getDiags(), pos_diags, neg_diags);
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- } else {
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- //例如邵逸夫 台州这种结构化数据,判断高血压 和 糖尿病是否有冲突
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- List<Diag> pastDiags = new ArrayList<>();
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- Map<String, String> structureMap = inputInfo.getBeHospitalizedDoc().getStructureMap();
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- String a1 = structureMap.get("高血压");
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- Diag diag = new Diag();
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- diag.setName("高血压");
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- diag.setHospitalDiagName("高血压");
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- if (StringUtils.isNotEmpty(a1) && "否认".equals(a1)) {
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- Negative negative = new Negative();
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- negative.setName("否认");
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- pastDiags.add(diag);
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- } else if (StringUtils.isNotEmpty(a1) && !"否认".equals(a1)) {
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- pastDiags.add(diag);
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- }
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-
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- a1 = structureMap.get("糖尿病");
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- diag = new Diag();
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- diag.setName("糖尿病");
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- diag.setHospitalDiagName("糖尿病");
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- if (StringUtils.isNotEmpty(a1) && "否认".equals(a1)) {
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- Negative negative = new Negative();
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- negative.setName("否认");
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- pastDiags.add(diag);
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- } else if (StringUtils.isNotEmpty(a1) && !"否认".equals(a1)) {
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- pastDiags.add(diag);
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- }
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-
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- extract_diags(pastDiags, pos_diags, neg_diags);
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- }
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- if (initialDiagLabel != null) {
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- extract_diags(initialDiagLabel.getDiags(), pos_diags, neg_diags);
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- }
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-
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- String infoStr = "";
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- int matchSum = 0;
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- ModelAI modelAI = new ModelAI();
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-
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- for (String negdiag : neg_diags) {
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- JSONArray jsonArray = modelAI.loadChiefPresentSimilarAI(negdiag, pos_diags, false
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- , "diagnose", chiefPresentSimilarityServiceClient);
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- if (jsonArray.size() == 2) {
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- /* 相似度最高症状 */
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- String dgname = jsonArray.getString(0);
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- /* 相似度分数 */
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- double likeRate = jsonArray.getDoubleValue(1);
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- if (likeRate > 0.99) {
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- matchSum++;
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- if (StringUtils.isEmpty(infoStr)) {
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- infoStr = negdiag;
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- } else {
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- infoStr = infoStr + "," + negdiag;
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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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- if (matchSum > 0) {
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- status.set("-1");
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- info.set(infoStr);
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- }
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-
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- }
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-
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-
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- private List<String> extract_diags(List<Diag> diags, List<String> pos_diags, List<String> neg_diags ) {
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- List<String> dgs = new ArrayList<>();
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- for (Diag dg:diags) {
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- String dgname = dg.getHospitalDiagName();
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- if (dg.getNegative()==null) {
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- if (!pos_diags.contains(dgname)) {
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- pos_diags.add(dgname);
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- }
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- }
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- else {
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- if (!neg_diags.contains(dgname)) {
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- neg_diags.add(dgname);
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- dgs.add(dgname);
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- }
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- }
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- }
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-
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- return dgs;
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- }
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-
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- private boolean isContains(String diagName) {
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- for (String c : containList) {
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- if (diagName.contains(c)) {
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- return true;
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- }
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- }
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- return false;
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- }
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-
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- private boolean isFilter(String diagName) {
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- for (String c : filterList) {
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- if (diagName.contains(c)) {
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- return true;
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- }
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- }
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- return false;
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- }
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-
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-}
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