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A CO-TRAINING FRAMEWORK TO MUTUALLY IMPROVE CONCEPT EXTRACTION FROM CLINICAL NOTES AND MEDICAL IMAGE CLASSIFICATION

机译:共同训练框架,用于临床备注和医学图像分类中的互补概念提取

摘要

A system and method for training a text report identification machine learning model and an image identification machine learning model, including: initially training a text report machine learning model, using a labeled set of text reports including text pre-processing the text report and extracting features from the pre-processed text report, wherein the extracted features are input into the text report machine learning model; initially training an image machine learning model, using a labeled set of images; applying the initially trained text report machine learning model to a first set of unlabeled text reports with associated images to label the associated images; selecting a first portion of labeled associated images; re-training the image machine learning model using the selected first portion of labeled associated images; applying the initially trained image machine learning model to a first set of unlabeled images with associated text reports to label the associated text reports; selecting a first portion of labeled associated text reports; and re-training the text report machine learning model using the selected first portion of labeled associated text reports.
机译:用于培训文本报告识别机器学习模型和图像识别机器学习模型的系统和方法,包括:最初使用标记为一组文本报告培训文本报告机器学习模型,包括文本预处理文本报告和提取功能从预处理的文本报告中,其中提取的功能被输入到文本报告机器学习模型中;最初使用标记为一组图像训练图像机器学习模型;将最初训练的文本报告计算机学习模型应用于带有关联图像的第一组未标记的文本报告,以标记相关图像;选择标记相关图像的第一部分;使用标记相关图像的所选第一部分重新培训图像机器学习模型;将最初训练的图像机器学习模型应用于具有相关文本报告的第一组未标记的图像,以标记关联的文本报告;选择标记相关文本报告的第一部分;并使用标记相关的文本报告的所选第一部分重新培训文本报告机器学习模型。

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