基于神经网络模型对具体病症的诊疗与分析项目源代码.zip
基于神经网络模型对具体病症的诊疗与分析项目源代码。
将临床上特应性皮炎患者不可描述的自然语言处理成可量化、可统计的数据，建立特应性皮炎患者的数据库，找出他们其中的相似点和共通点，并搭建神经网络模型，使用现有数据对模型进行训练，最终实现自动诊疗并导出病人治疗方案。 本项目创新点在于通过NLP对医院电子病例中自然语言进行数据化格式化处理，解决了自然语言由于其目标表示的复杂性、映射类型的多样性等特点造成的语义和语法的模糊性，帮助医院制定个性化治疗方案。
将临床上特应性皮炎患者不可描述的自然语言处理成可量化、可统计的数据，建立特应性皮炎患者的数据库，找出他们其中的相似点和共通点，并搭建人工神经网络，使用现有数据对模型进行训练，最终实现自动诊疗并导出病人治疗方案。 本项目创新点在于通过NLP对医院电子病例中自然语言进行数据化格式化处理，解决了自然语言由于其目标表示的复杂性、映射类型的多样性等特点造成的语义和语法的模糊性，帮助医院制定个性化治疗方案。
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