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b/benchmark/description2icd10.py |
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''' |
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icd code maps to description |
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input: "icdcode/ICD-10-Medical-Diagnosis-Codes.pdf" |
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output: "icdcode/description2icd10.pkl" |
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''' |
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import icd10, PyPDF2, pickle, os, csv |
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# def code2description(code): |
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# # code = "A1803" |
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# code = icd10.find(code) |
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# description = code.description |
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# return description |
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# def extract_icdcode(file, pkl_file): |
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# f = open(file, 'rb') |
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# description2icd = dict() |
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# fileReader = PyPDF2.PdfFileReader(file) |
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# for pagenum in range(fileReader.numPages): |
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# pageObj = fileReader.getPage(pagenum) |
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# text = pageObj.extractText() |
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# text = text.split('\n') |
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# text = list(filter(lambda x:len(x.strip())>0, text)) |
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# if pagenum == 0: |
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# text = list(filter(lambda x:x[0]=='A', text)) |
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# print(text) |
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# for i in text: |
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# icd = i.split()[0] |
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# description = ' '.join(i.strip().split()[1:]).lower() |
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# description2icd[description] = icd |
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# # print(description, icd) |
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# print("code number is", str(len(description2icd))) |
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# # code number is 76331 |
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# pickle.dump(description2icd, open(pkl_file, 'wb')) |
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### csv_file = 'icdcode/icd_10_direct_mapping.csv' |
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def extract_icdcode(csv_file, pkl_file): |
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with open(csv_file, 'r') as csvfile: |
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rows = list(csv.reader(csvfile, delimiter=',')) |
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description2icd = dict() |
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for row in rows: |
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icd = row[0] |
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description = row[1] |
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print(icd) |
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description2icd[description] = icd |
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print("code number is", str(len(description2icd))) |
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pickle.dump(description2icd, open(pkl_file, 'wb')) |
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if __name__ == "__main__": |
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# file = "icdcode/ICD-10-Medical-Diagnosis-Codes.pdf" |
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csv_file = 'icdcode/icd_10_direct_mapping.csv' |
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pkl_file = "icdcode/description2icd10.pkl" |
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if not os.path.exists(pkl_file): |
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extract_icdcode(csv_file, pkl_file) |
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description2icd10 = pickle.load(open(pkl_file, 'rb')) |
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# for description, icd in description2icd10.items(): |
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# #if len(description.split())==1: |
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# print(description, " --> ", icd) |
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