MIMIC-ICU-Readmission-Prediction:根据临床记录和结构化数据预测ICU再入院率

上传者: 42119358 | 上传时间: 2024-01-12 16:29:11 | 文件大小: 68KB | 文件类型: ZIP
NLP医疗保健 使用MIMIC III中的结构化和非结构化数据预测30天ICU再次入院 数据处理 结构化数据 结构化网络的ETL过程可以在结构目录中找到在structured_etl_part1.scala和structured_etl_part2.py 非结构化数据 非结构化数据的所有数据处理脚本都包含在dataproc目录中。 使用data_processing_script.py处理NOTEEVENTS以获取单词向量。 使用get_discharge_summaries.py编写放电汇总 使用build_vocab.py从放电摘要构建vocab。 使用word_embeddings.py在所有单词上训练单词嵌入。 使用extract_wvs.py中的gensim_to_embeddings方法,用我们的vocab编写经过训练的单词嵌入。 造型 结构化网络 在struc_net

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