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Machine learning and natural language processing methods to identify ischemic stroke, acuity and location from radiology reports

机译：机器学习和自然语言处理方法，以识别缺血性卒中，敏锐度和放射学报告的位置

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Charlene Jennifer Ong; Agni Orfanoudaki; Rebecca Zhang; Francois Pierre M. Caprasse; Meghan Hutch; Liang Ma; Darian Fard; Oluwafemi Balogun; Matthew I. Miller; Margaret Minnig; Hanife Saglam; Brenton Prescott; David M. Greer; Stelios Smirnakis; Dimitris Bertsimas;
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1. Automated Detection of Radiology Reports that Require Follow-up Imaging Using Natural Language Processing Feature Engineering and Machine Learning Classification [J] . Journal of digital imaging: the official journal of the Society for Computer Applications in Radiology . 2020,第1期

机译：自动检测放射学报告，需要使用自然语言处理的后续成像功能工程和机器学习分类
2. Integrating Natural Language Processing and Machine Learning Algorithms to Categorize Oncologic Response in Radiology Reports [J] . Po-Hao Chen, Hanna Zafar, Maya Galperin-Aizenberg, Journal of digital imaging: the official journal of the Society for Computer Applications in Radiology . 2018,第2期

机译：集成自然语言处理和机器学习算法，在放射学报告中对肿瘤响应进行分类
3. Automating Ischemic Stroke Subtype Classification Using Machine Learning and Natural Language Processing [J] . Garg Ravi, Oh Elissa, Naidech Andrew, Journal of stroke and cerebrovascular diseases: The official journal of National Stroke Association . 2019,第7期

机译：使用机器学习和自然语言处理自动化缺血性卒中子类型分类
4. Automated Classification of Radiology Reports for Acute Lung Injury: Comparison of Keyword and Machine Learning Based Natural Language Processing Approaches [C] . Imre Solti, Colin R. Cooke, Fei Xia, IEEE International Conference on Bioinformatics and Biomedicine Workshop . 2009

机译：急性肺损伤的放射学报告的自动分类：基于关键字和机器的自然语言处理方法的比较
5. Leveraging unstructured construction injury reports to predict safety outcomes and model safety risk using Natural Language Processing, Machine Learning, and probability theory [D] . Tixier, Antoine Jean-Pierre. 2015

机译：利用非结构化施工损伤报告以预测使用自然语言处理，机器学习和概率理论来预测安全结果和模型安全风险
6. Machine learning and natural language processing methods to identify ischemic stroke acuity and location from radiology reports [O] . Charlene Jennifer Ong, Agni Orfanoudaki, Rebecca Zhang, 2020

机译：机器学习和自然语言处理方法以识别缺血性卒中敏锐度和放射学报告的位置
7. Automated Classification of Radiology Reports for Acute Lung Injury: Comparison of Keyword and Machine Learning Based Natural Language Processing Approaches [O] . Imre Solti, Colin R. Cooke, Fei Xia, 2015

机译：急性肺损伤放射学报告的自动分类：基于关键词和机器学习的自然语言处理方法的比较

Machine learning and natural language processing methods to identify ischemic stroke, acuity and location from radiology reports

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