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“基于医疗知识图谱的问答系统”代码解析(一)

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以医疗知识图谱为基础构建的智能化问答平台的技术实现解析第一部分

build_medicalgraph.py —建立医疗知识图谱的代码解析

“基于医疗知识图谱构建的智能问答系统”的代码分析第2篇
“基于医疗知识图谱构建的回答机制”的代码解读第3篇
“基于医疗知识图谱支撑的回答模型”的代码探讨第4篇
构建智能辅助决策系统的医学知识图谱及其实现

这是我对刘老师所写“基于知识医疗图谱的问答系统”代码的解读。

复制代码
    # 预备知识#!/usr/bin/env python3
    # coding: utf-8
    # File: MedicalGraph.py
    # Author:lhy<lhy_in_blcu@126.com,https://huangyong.github.io>
    # Date: 18-10-
    
    # 构建知识图谱 并将知识图谱放入neo4j
    import os
    import json
    # 为了从neo4j导入知识图谱
    
    from py2neo import Graph,Node
    
    class MedicalGraph:
    def __init__(self):
        # cur_dir 当前目录 即QASystemOnMedicalKG-master
        cur_dir = '/'.join(os.path.abspath(__file__).split('/')[:-1])
    
        self.data_path = os.path.join(cur_dir, 'data/medical.json')
        self.g = Graph(
            host="127.0.0.1",  # neo4j 搭载服务器的ip地址,ifconfig可获取到
            http_port=7474,    # neo4j 服务器监听的端口号
            user="neo4j",      # 数据库user name,如果没有更改过,应该是neo4j
            password="neo")    # passward第一次登入是neo4j,随后即更改密码
    
    '''读取文件'''
    def read_nodes(self):
        # 共7类节点 初始化为列表
        drugs = []     # 药品
        foods = []     # 食物
        checks = []    # 检查
        departments = []   # 科室
        producers = []     # 药品大类
        diseases = []      # 疾病
        symptoms = []      # 症状
    
        disease_infos = [] # 疾病信息
    
        # 构建节点实体关系
        rels_department = []     # 科室-科室关系
        rels_noteat = []         # 疾病-忌吃食物关系
        rels_doeat = []          # 疾病-宜吃食物关系
        rels_recommandeat = []   # 疾病-推荐吃食物关系
        rels_commonddrug = []    # 疾病-通用药品关系
        rels_recommanddrug = []  # 疾病-热门药品关系
        rels_check = []          # 疾病-检查关系
        rels_drug_producer = []  # 厂商-药物关系
    
        rels_symptom = [] # 疾病症状关系
        rels_acompany = [] # 疾病并发关系
        rels_category = [] # 疾病与科室之间的关系
    
    
        count = 0
        for data in open(self.data_path, encoding='utf-8'):
            # 疾病字典
            disease_dict = {}
            # 统计疾病数量
            count += 1
            # 输出统计
            print(count)
            data_json = json.loads(data)
            disease = data_json['name']
            disease_dict['name'] = disease
            diseases.append(disease)
            # 初始化键值对  其值都为字符串
            disease_dict['desc'] = ''
            disease_dict['prevent'] = ''
            disease_dict['cause'] = ''
            disease_dict['easy_get'] = ''
            disease_dict['cure_department'] = ''
            disease_dict['cure_way'] = ''
            disease_dict['cure_lasttime'] = ''
            disease_dict['symptom'] = ''
            disease_dict['cured_prob'] = ''
    
         # 更新关系表
            # 如果症状在文件里
            if 'symptom' in data_json:
                # 症状列表更新
                symptoms += data_json['symptom']
    
                # 遍历该病的症状表
                for symptom in data_json['symptom']:
                    # 添加疾病和症状的关系
                    rels_symptom.append([disease, symptom])
    
            # 疾病并发关系
            if 'acompany' in data_json:
                for acompany in data_json['acompany']:
                    # 添加疾病和并发的关系
                    rels_acompany.append([disease, acompany])
    
            # 更新字典
            if 'desc' in data_json:
                disease_dict['desc'] = data_json['desc']
    
            if 'prevent' in data_json:
                disease_dict['prevent'] = data_json['prevent']
    
            if 'cause' in data_json:
                disease_dict['cause'] = data_json['cause']
    
            if 'get_prob' in data_json:
                disease_dict['get_prob'] = data_json['get_prob']
    
            if 'easy_get' in data_json:
                disease_dict['easy_get'] = data_json['easy_get']
    
            # 部门
            if 'cure_department' in data_json:
                cure_department = data_json['cure_department']
                # 如果只涉及到1个部门 只添加与这一个部门的关系
                if len(cure_department) == 1:
                     rels_category.append([disease, cure_department[0]])
    
                # 如果涉及到2个部门 则把第一个作为大部门
                if len(cure_department) == 2:
                    big = cure_department[0]
                    small = cure_department[1]
                    rels_department.append([small, big])
                    rels_category.append([disease, small])
    
                # 更新疾病表格
                disease_dict['cure_department'] = cure_department
                departments += cure_department
    
            if 'cure_way' in data_json:
                disease_dict['cure_way'] = data_json['cure_way']
    
            if  'cure_lasttime' in data_json:
                disease_dict['cure_lasttime'] = data_json['cure_lasttime']
    
            if 'cured_prob' in data_json:
                disease_dict['cured_prob'] = data_json['cured_prob']
    
            if 'common_drug' in data_json:
                common_drug = data_json['common_drug']
                for drug in common_drug:
                    # 添加每个常规药与疾病的关系
                    rels_commonddrug.append([disease, drug])
                drugs += common_drug
    
            if 'recommand_drug' in data_json:
                recommand_drug = data_json['recommand_drug']
                drugs += recommand_drug
                for drug in recommand_drug:
                    # 添加每个热门药与疾病的关系
                    rels_recommanddrug.append([disease, drug])
    
            # 如果有忌口就更新以下数据(忌口,宜吃,推荐吃)
            if 'not_eat' in data_json:
                not_eat = data_json['not_eat']
                for _not in not_eat:
                    # 添加疾病与忌口的关系
                    rels_noteat.append([disease, _not])
                foods += not_eat
                do_eat = data_json['do_eat']
                for _do in do_eat:
                    # 添加疾病与宜吃食物的关系
                    rels_doeat.append([disease, _do])
                foods += do_eat
                # 更新推荐表
                recommand_eat = data_json['recommand_eat']
                for _recommand in recommand_eat:
                    # 添加疾病和推荐食物的关系
                    rels_recommandeat.append([disease, _recommand])
                foods += recommand_eat
            # 更新检查
            if 'check' in data_json:
                check = data_json['check']
                for _check in check:
                    # 添加疾病与检查之前的关系
                    rels_check.append([disease, _check])
                checks += check
            # 更新药店信息
            if 'drug_detail' in data_json:
                drug_detail = data_json['drug_detail']
                # drug_detail  举例易理解
                # 假设"drug_detail" :[ "桂林南药布美他尼片(布美他尼片)","皇隆制药注射用呋塞米(注射用呋塞米)" ]
                #  输出为  注意这里的[0]是从前面开始 [-1]是从后面开始的
                # ['桂林南药布美他尼片', '皇隆制药注射用呋塞米']
                # [['桂林南药布美他尼片', '布美他尼片'], ['皇隆制药注射用呋塞米', '注射用呋塞米']]
                producer = [i.split('(')[0] for i in drug_detail]
                rels_drug_producer += [[i.split('(')[0], i.split('(')[-1].replace(')', '')] for i in drug_detail]
                producers += producer
            disease_infos.append(disease_dict)
        # 返回数据 set()=>强制转化为集合
        return set(drugs), set(foods), set(checks), set(departments), set(producers), set(symptoms), set(diseases), disease_infos,\
               rels_check, rels_recommandeat, rels_noteat, rels_doeat, rels_department, rels_commonddrug, rels_drug_producer, rels_recommanddrug,\
               rels_symptom, rels_acompany, rels_category
    
    '''建立节点'''
    def create_node(self, label, nodes):
        # 传入标签,后面会设置
        # node计数单位
        count = 0
        for node_name in nodes:
            node = Node(label, name=node_name)
            self.g.create(node)
            count += 1
            print(count, len(nodes))
        return
    
    '''创建知识图谱中心疾病的节点'''
    def create_diseases_nodes(self, disease_infos):
        # diseasesnode计数单位
        count = 0
        for disease_dict in disease_infos:
            node = Node("Disease", name=disease_dict['name'], desc=disease_dict['desc'],
                        prevent=disease_dict['prevent'] ,cause=disease_dict['cause'],
                        easy_get=disease_dict['easy_get'],cure_lasttime=disease_dict['cure_lasttime'],
                        cure_department=disease_dict['cure_department']
                        ,cure_way=disease_dict['cure_way'] , cured_prob=disease_dict['cured_prob'])
            self.g.create(node)
            count += 1
            print(count)
        return
    
    '''创建知识图谱实体节点类型schema'''
    def create_graphnodes(self):
        Drugs, Foods, Checks, Departments, Producers, Symptoms, Diseases, disease_infos,rels_check, rels_recommandeat, rels_noteat, rels_doeat, rels_department, rels_commonddrug, rels_drug_producer, rels_recommanddrug,rels_symptom, rels_acompany, rels_category = self.read_nodes()
        self.create_diseases_nodes(disease_infos)
        self.create_node('Drug', Drugs)
        print(len(Drugs))
        self.create_node('Food', Foods)
        print(len(Foods))
        self.create_node('Check', Checks)
        print(len(Checks))
        self.create_node('Department', Departments)
        print(len(Departments))
        self.create_node('Producer', Producers)
        print(len(Producers))
        self.create_node('Symptom', Symptoms)
        return
    
    
    '''创建实体关系边'''
    def create_graphrels(self):
        Drugs, Foods, Checks, Departments, Producers, Symptoms, Diseases, disease_infos, rels_check, rels_recommandeat, rels_noteat, rels_doeat, rels_department, rels_commonddrug, rels_drug_producer, rels_recommanddrug,rels_symptom, rels_acompany, rels_category = self.read_nodes()
        # Food是大类
        self.create_relationship('Disease', 'Food', rels_recommandeat, 'recommand_eat', '推荐食谱')
        self.create_relationship('Disease', 'Food', rels_noteat, 'no_eat', '忌吃')
        self.create_relationship('Disease', 'Food', rels_doeat, 'do_eat', '宜吃')
        self.create_relationship('Department', 'Department', rels_department, 'belongs_to', '属于')
        self.create_relationship('Disease', 'Drug', rels_commonddrug, 'common_drug', '常用药品')
        self.create_relationship('Producer', 'Drug', rels_drug_producer, 'drugs_of', '生产药品')
        self.create_relationship('Disease', 'Drug', rels_recommanddrug, 'recommand_drug', '好评药品')
        self.create_relationship('Disease', 'Check', rels_check, 'need_check', '诊断检查')
        self.create_relationship('Disease', 'Symptom', rels_symptom, 'has_symptom', '症状')
        self.create_relationship('Disease', 'Disease', rels_acompany, 'acompany_with', '并发症')
        self.create_relationship('Disease', 'Department', rels_category, 'belongs_to', '所属科室')
    
    '''创建实体关联边'''
    def create_relationship(self, start_node, end_node, edges, rel_type, rel_name):
        count = 0
        # 去重处理
        set_edges = []
        for edge in edges:
            # 将每对元素以 ### 分割 并添加到set_edges
            set_edges.append('###'.join(edge))
        all = len(set(set_edges))
        for edge in set(set_edges):
            # 遍历每对元素
            edge = edge.split('###')
            p = edge[0]
            q = edge[1]
            # Cypher语言 Match 类似与SQL中的Select,用来匹配一种搜索模式 匹配p与q
            query = "match(p:%s),(q:%s) where p.name='%s'and q.name='%s' create (p)-[rel:%s{name:'%s'}]->(q)" % (
                start_node, end_node, p, q, rel_type, rel_name)
            try:
                self.g.run(query)
                count += 1
                print(rel_type, count, all)
            except Exception as e:
                print(e)
        return
    
    '''导出数据'''
    def export_data(self):
        Drugs, Foods, Checks, Departments, Producers, Symptoms, Diseases, disease_infos, rels_check, rels_recommandeat, rels_noteat, rels_doeat, rels_department, rels_commonddrug, rels_drug_producer, rels_recommanddrug, rels_symptom, rels_acompany, rels_category = self.read_nodes()
        # 将数据写到文件
        f_drug = open('drug.txt', 'w+')
        f_food = open('food.txt', 'w+')
        f_check = open('check.txt', 'w+')
        f_department = open('department.txt', 'w+')
        f_producer = open('producer.txt', 'w+')
        f_symptom = open('symptoms.txt', 'w+')
        f_disease = open('disease.txt', 'w+')
    
        # \n为分割
        f_drug.write('\n'.join(list(Drugs)))
        f_food.write('\n'.join(list(Foods)))
        f_check.write('\n'.join(list(Checks)))
        f_department.write('\n'.join(list(Departments)))
        f_producer.write('\n'.join(list(Producers)))
        f_symptom.write('\n'.join(list(Symptoms)))
        f_disease.write('\n'.join(list(Diseases)))
    
        # 关闭文件
        f_drug.close()
        f_food.close()
        f_check.close()
        f_department.close()
        f_producer.close()
        f_symptom.close()
        f_disease.close()
    
        return
    
    if __name__ == '__main__':
    handler = MedicalGraph()
    print("step1:导入图谱节点中")
    handler.create_graphnodes()
    print("step2:导入图谱边中")      
    handler.create_graphrels()

成功构建后的知识图谱

疾病节点
药品与疾病之间的关系

总结

对于一些简单的操作,注释可能不需要特别添加到代码中。如果有任何问题或建议,请随时指出。虽然代码本身非常重要,但前期的准备工作也不能忽视。例如,在Neo4j的配置上就是这样。由于我对这方面尚不熟悉,在GitHub上寻找了一个相关的项目进行实践操作确实花了不少时间(投入了大量的时间)。不过这并不奇怪(笨鸟先飞),毕竟每个人的学习起点都是不同的。通过这段实践经历我发现Neo4j的配置确实需要投入大量的时间才能掌握得透彻(投入了大量的时间)。如需进一步了解相关内容请访问以下链接:https://www.it610.com/article/1289837419532722176.htm

后续我会不断更新,希望各位看官多多指点

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