301_hospitial

最新推荐文章于 2025-01-01 01:14:42 发布

weixin_41710583

最新推荐文章于 2025-01-01 01:14:42 发布

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本文链接：https://blog.youkuaiyun.com/weixin_41710583/article/details/88314228

本文深入探讨了针对医院数据的复杂处理代码，该代码通过多层次的数据解析和重组，实现了对患者信息、疾病诊断、症状及身体部位等多维度数据的精细处理。通过对原始数据的拆分、重组和深度加工，系统能够生成丰富且详细的数据报告，为医疗决策提供有力支持。

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301_hospitial

代码

        for array in result_array:
            sub_list, s, suggest, body_part = array['分支1'], array['句子'], f(array['建议']), array['分支2']
            # print('body_part',body_part)
            for sub_array in sub_list:
                sub_s1, disease, symptom, if_exist = sub_array['句子'], f(sub_array['疾病']), f(sub_array['症状']), f2(
                    sub_array['否定词'])
                for part_array in body_part:
                    sub_s2, body= part_array['句子'], f(part_array['部位'])
                    data_list = [[r_data, s, ii, sub_s1,jj, kk, if_exist, sub_s2, mm] for ii in suggest for jj in
                                 disease for kk in symptom  for mm in body]

                    for data in data_list:

                        temp=file.split('*&*')+data
                        exchange_data.file='*&*'.join(temp)
                        self.results.append(copy.deepcopy(exchange_data))
                if not body_part:
                    cz_list=[[r_data,s,ii,sub_s1,jj,kk,if_exist] for ii in suggest for jj in disease for kk in symptom]
                    for cz in cz_list:
                        temp=file.split('*&*')+cz
                        exchange_data.file='*&*'.join(temp)
                        self.results.append(copy.deepcopy(exchange_data))
            if not sub_list:
                for part_array in body_part:
                    sub_s2,body=part_array['句子'],f(part_array['部位'])
                    part_list=[[r_data,s,ii,'','','','',sub_s2,mm] for ii in suggest for mm in body]
                    for part in part_list:
                        temp = file.split('*&*') + part
                        exchange_data.file = '*&*'.join(temp)
                        self.results.append(copy.deepcopy(exchange_data))


                if not body_part:
                    for i in suggest:
                        temp = file.split('*&*') + [r_data, s, i]
                        exchange_data.file = '*&*'.join(temp)
                        self.results.append(copy.deepcopy(exchange_data))
        if not result_array:
            temp = file.split('*&*') + [r_data]
            exchange_data.file = '*&*'.join(temp)
            self.results.append(copy.deepcopy(exchange_data))