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Learning or inferring medical concepts from medical transcripts using probabilistic models with words or phrases identification
Learning or inferring medical concepts from medical transcripts using probabilistic models with words or phrases identification
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机译:使用带有单词或短语识别的概率模型从医学笔录中学习或推断医学概念
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摘要
A medical concept is learned about or inferred from a medical transcript. A probabilistic model is trained from medical transcripts. For example, the problem is treated as a graphical model. Discrimitive or generative learning is used to train the probabilistic model. A mutual information criterion can be employed to identify a discrete set of words or phrases to be used in the probabilistic model. The model is based on the types of medical transcripts, focusing on this source of data to output the most probable state of a patient in the medical field or domain. The learned model may be used to infer a state of a medical concept for a patient.
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