吴裕雄 PYTHON 人工智能——智能医疗系统后台智能分诊模块及系统健康养生公告简约版代码展示 - 吴裕雄

#coding:utf-8

import sys
import cx_Oracle
import numpy as np
import pandas as pd
import tensorflow as tf

def main(argv):
    conn=cx_Oracle.connect(\'doctor/admin@localhost:1521/tszr\')
    cursor = conn.cursor()
    sql = "select distinct surgery from menzhen"
    cursor.execute(sql)
    rows = cursor.fetchall()
    dipart = []
    for row in rows:
        dipart.append(row[0])
    ############################################
    sql = "select distinct surgery,surgerychest from menzhen"
    cursor.execute(sql)
    rows = cursor.fetchall()
    dipartmentSubj = []
    for row in rows:
        one = []
        one.append(row[0])
        one.append(row[1])
        dipartmentSubj.append(one)
    ###########################################################
    sql = "select illSubject,question from questb"
    cursor.execute(sql)
    rows = cursor.fetchall()
    subjectQues = []
    for row in rows:
        one = []
        one.append(row[0])
        one.append(row[1])
        subjectQues.append(one)
    #############################################################
    sym = ""
    for i in range(len(argv)):
        sym += argv[i]
    symptom = []
    symptom.extend(sym)
    subCount = []
    for j in range(len(subjectQues)):
        temp = []
        que = []
        que.extend(subjectQues[j][1])
        count = 0
        for i in range(len(symptom)):
            if(symptom[i]!="," or symptom[i]!=" "):
                for k in range(len(que)):
                    if(symptom[i]==que[k]):
                        count = count + 1
        temp.append(subjectQues[j][0])
        temp.append(count)
        subCount.append(temp)
    ############################################################
    for i in range(len(subCount)):
        for j in range(len(dipartmentSubj)):
            if(subCount[i][0]==dipartmentSubj[j][1]):
                subCount[i].append(dipartmentSubj[j][0])
    symMaxCount = sorted(subCount,key=(lambda x:x[1]),reverse=True)           
    print("根据你输入的问题，经过大数据分析建议你选择以下的门诊部和对应的科：")
    print("门诊部门："+symMaxCount[0][2])
    print("对应的科："+symMaxCount[0][0])
    
# if __name__ == \'__main__\':
#     main(sys.argv)

print("===================>>系统智能分诊功能模块<<===================")
inputInfo = input("请输入你的症状：")
main(inputInfo)

#系统健康公告
import sys
import cx_Oracle
import numpy as np
import pandas as pd
import tensorflow as tf

conn=cx_Oracle.connect(\'doctor/admin@localhost:1521/tszr\')
cursor = conn.cursor()

sql = "select TITLE,ARTICLE from SYSTEMINFORMATION"
cursor.execute(sql)
rows = cursor.fetchall()
sysinfo = []
for row in rows:
    temp = []
    temp.append(row[0])
    temp.append(row[1])
    sysinfo.append(temp)
    
print("================>>系统养生推荐公告功能模块<<===============")
for i in sysinfo:
    print("节气："+i[0])
    print("养生建议："+i[1])