Python EMRdef.SBS Exemples

Exemple #1

Fichier : zhzd_3_20190605125536.py Projet : cyc19950621/python

ds_cs = []
for line in ds:
    line = re.sub('\n', '', line)
    ds_cs.append(line)
ryzd = []
output = []
for emrtxt in emrtxts:
    f = open(emrtxt, 'r', errors="ignore")  #中文加入errors
    emrpath = os.path.basename(emrtxt)
    emrpath = os.path.splitext(emrpath)[0]  #提取目录
    pattern = r'\s*\d+、+\s?(.*)'
    c = re.compile(pattern)
    for line in f.readlines():
        line1 = line.strip('\n')
        line2 = ''.join(line1)
        line2 = line2.strip()
        line3 = c.findall(line2)
        line3 = ''.join(line3)
        line4 = str(line3)
        out = line4
        out = re.sub(r'右侧|两侧|双侧|左侧|右|左|双', '', out)
        out = re.sub(r'肺肺', '肺', out)
        out = re.sub('（.*?）', '', out)
        out = re.sub(r'很高危|极高危', '', out)
        for ds in ds_cs:
            if EMRdef.SBS(out, ds) > 0.8:
                output.append(out)
output = EMRdef.delre(output)
output1 = ''.join(output)
EMRdef.text_save(u'D:\python\EMR\jbml.txt', output1)

Exemple #2

Fichier : zhzd_3_20190605094247.py Projet : cyc19950621/python

ds_c = []
for line in ds:
    line = re.sub('\n','',line)
    ds_cs.append(line)
ryzd=[] 
for emrtxt in emrtxts:
    f = open(emrtxt,'r',errors="ignore")#中文加入errors
    emrpath = os.path.basename(emrtxt)
    emrpath = os.path.splitext(emrpath)[0]#提取目录 
    pattern =r'\s*\d+、+\s?(.*)'
    c=re.compile(pattern)
    output=[] 
    for line in f.readlines():
        line1=line.strip('\n')
        line2 = ''.join(line1)
        line2 = line2.strip( )
        line3=c.findall(line2)
        line3=''.join(line3)
        line4 = str(line3)
        out = line4
        out= re.sub(r'右侧|两侧|双侧|左侧|右|左|双','',out)
        out = re.sub(r'肺肺','肺',out)
        out = re.sub('（.*?）', '', out)
        for ds in ds_cs:
            if EMRdef.SBS(out,ds) 
            output.append(out)
            output=EMRdef.delre(output)
            output1='\n'.join(output)
            EMRdef.text_create(r'D:\DeepLearning ER\EHRzhzd2','.txt',emrpath,output1)

Exemple #3

import time
import math
import os
import sys
import os, os.path,shutil
import codecs 
import EMRdef
import re
import pandas as pd
emrtxts = EMRdef.txttq(u'D:\DeepLearning ER\EHRzhzd2')#txt目录提取
dis = open(r'C:\Users\Administrator\Desktop\JBML.txt',errors='ignore')
ds=dis.readlines()
ds_cs = []
for line in ds:
    line = re.sub('\n','',line)
    ds_cs.append(line)
for emrtxt in emrtxts:
    out = []
    f = open(emrtxt,'r',errors="ignore")#中文加入errors
    emrpath = os.path.basename(emrtxt)
    emrpath = os.path.splitext(emrpath)[0]#提取目录 
    lines = f.readlines()
    for line in lines:
        line = re.sub('\n','',line)
        for ds_c in ds_cs:
            if set(line) == set(ds_c):
                out.append(ds_c)
            elif EMRdef.SBS(line,ds_c)>0.8  and SBS(line,ds) <1:

Exemple #4

Fichier : zhzd_3_20190605160410.py Projet : cyc19950621/python

import codecs
import EMRdef
import re
import pandas as pd
emrtxts = EMRdef.txttq(u'D:\DeepLearning ER\EHRzhzd2')  #txt目录提取
dis = open(r'C:\Users\Administrator\Desktop\JBML.txt', errors='ignore')
ds = dis.readlines()
ds_cs = []
for line in ds:
    line = re.sub('\n', '', line)
    ds_cs.append(line)
for emrtxt in emrtxts:
    out = []
    f = open(emrtxt, 'r', errors="ignore")  #中文加入errors
    emrpath = os.path.basename(emrtxt)
    emrpath = os.path.splitext(emrpath)[0]  #提取目录
    lines = f.readlines()
    for line in lines:
        line = re.sub('\n', '', line)
        line = re.sub(r'急性|慢性', '', line)
        for ds_c in ds_cs:
            ds_c = re.sub(r'急性|慢性', '', ds_c)
            ds_c = re.sub(r'阻塞性肺疾病', '慢性', ds_c)
            if set(line) == set(ds_c):
                out.append(ds_c)
            elif EMRdef.SBS(line, ds_c) > 0.6 and EMRdef.SBS(line, ds_c) < 1:
                out.append(ds_c)
        out = EMRdef.delre(out)
        output = '\n'.join(out)
    EMRdef.text_create(r'D:\DeepLearning ER\EHRzhzd3', '.txt', emrpath, output)

Exemple #5

import time
import math
import os
import sys
import os, os.path,shutil
import codecs 
import EMRdef
import re
import pandas as pd
emrtxts = EMRdef.txttq(u'D:\DeepLearning ER\EHRzhzd2')#txt目录提取
dis = open(r'C:\Users\Administrator\Desktop\JBML.txt',errors='ignore')
ds=dis.readlines()
ds_cs = []
for line in ds:
    line = re.sub('\n','',line)
    ds_cs.append(line)
for emrtxt in emrtxts:
    out = []
    f = open(emrtxt,'r',errors="ignore")#中文加入errors
    emrpath = os.path.basename(emrtxt)
    emrpath = os.path.splitext(emrpath)[0]#提取目录 
    lines = f.readlines()
    for line in lines:
        line = re.sub('\n','',line)
        for ds_c in ds_cs:
            if set(line) == set(ds_c):
                out.append(ds_c)
            elif EMRdef.SBS(line,ds)>0.8  and SBS(line,dic) <1:

Exemple #6

Fichier : zhzd_3_20190605094223.py Projet : cyc19950621/python

ds_c = []
for line in ds:
    line = re.sub('\n','',line)
    ds_cs.append(line)
ryzd=[] 
for emrtxt in emrtxts:
    f = open(emrtxt,'r',errors="ignore")#中文加入errors
    emrpath = os.path.basename(emrtxt)
    emrpath = os.path.splitext(emrpath)[0]#提取目录 
    pattern =r'\s*\d+、+\s?(.*)'
    c=re.compile(pattern)
    output=[] 
    for line in f.readlines():
        line1=line.strip('\n')
        line2 = ''.join(line1)
        line2 = line2.strip( )
        line3=c.findall(line2)
        line3=''.join(line3)
        line4 = str(line3)
        out = line4
        out= re.sub(r'右侧|两侧|双侧|左侧|右|左|双','',out)
        out = re.sub(r'肺肺','肺',out)
        out = re.sub('（.*?）', '', out)
        for ds in ds_cs:
            if EMRdef.SBS()
            output.append(out)
            output=EMRdef.delre(output)
            output1='\n'.join(output)
            EMRdef.text_create(r'D:\DeepLearning ER\EHRzhzd2','.txt',emrpath,output1)

Exemple #7

Fichier : zhzd_2_20190605154205.py Projet : cyc19950621/python

        line = re.sub(r'\,|\.|；','',line)
        out = line
        out= re.sub(r'右侧|两侧|双侧|左侧|右|左|双','',out)
        out = re.sub(r'肺肺','肺',out)
        out = re.sub('（.*?）', '', out)
        out = re.sub(r'很高危|极高危', '', out)
        line = out
        line_re.append(line)
        while '' in line_re:
            line_re.remove('')
        for line in line_re:
            for dic in dics:
                dic=re.sub('\n','',dic)
                if set(line) == set(dic):
                    output.append(dic)
                elif EMRdef.SBS(line,dic)>0.8  and EMRdef.SBS(line,dic) <1:
                    output.append(dic)
    output=EMRdef.delre(output)
            #output1='\n'.join(output)
            #EMRdef.text_create(r'D:\DeepLearning ER\EHRzhzd2','.txt',emrpath,output1)
    ryzd.append(output)

#导入关联规则
import orangecontrib.associate.fpgrowth as oaf


def dealRules(rules):
    returnRules = []
    for i in rules:
        temStr = '';
        for j in i[0]:   #处理第一个frozenset

Exemple #8

ds_c = []
for line in ds:
    line = re.sub('\n','',line)
    ds_cs.append(line)
ryzd=[] 
for emrtxt in emrtxts:
    f = open(emrtxt,'r',errors="ignore")#中文加入errors
    emrpath = os.path.basename(emrtxt)
    emrpath = os.path.splitext(emrpath)[0]#提取目录 
    pattern =r'\s*\d+、+\s?(.*)'
    c=re.compile(pattern)
    output=[] 
    for line in f.readlines():
        line1=line.strip('\n')
        line2 = ''.join(line1)
        line2 = line2.strip( )
        line3=c.findall(line2)
        line3=''.join(line3)
        line4 = str(line3)
        out = line4
        out= re.sub(r'右侧|两侧|双侧|左侧|右|左|双','',out)
        out = re.sub(r'肺肺','肺',out)
        out = re.sub('（.*?）', '', out)
        for ds in ds_cs:
            if EMRdef.SBS(out)
            output.append(out)
            output=EMRdef.delre(output)
            output1='\n'.join(output)
            EMRdef.text_create(r'D:\DeepLearning ER\EHRzhzd2','.txt',emrpath,output1)

Exemple #9

Fichier : zhzd_3_20190605155813.py Projet : cyc19950621/python

import time
import math
import os
import sys
import os, os.path,shutil
import codecs 
import EMRdef
import re
import pandas as pd
emrtxts = EMRdef.txttq(u'D:\DeepLearning ER\EHRzhzd2')#txt目录提取
dis = open(r'C:\Users\Administrator\Desktop\JBML.txt',errors='ignore')
ds=dis.readlines()
ds_cs = []
for line in ds:
    line = re.sub('\n','',line)
    ds_cs.append(line)
for emrtxt in emrtxts:
    out = []
    f = open(emrtxt,'r',errors="ignore")#中文加入errors
    emrpath = os.path.basename(emrtxt)
    emrpath = os.path.splitext(emrpath)[0]#提取目录 
    lines = f.readlines()
    for line in lines:
        line = re.sub('\n','',line)
        for ds_c in ds_cs:
            if set(line) == set(ds_c):
                out.append(ds_c)
            elif EMRdef.SBS(line,ds_c)>0.8  and EMRSBS(line,ds_c) <1: