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README.md
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This is a model to detect treatment and disease mentions in texts from health domains.
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The dataset used for training consists of PubMed's abstracts and tweets with disease mentions, which are publicly available. It has been semi-automatically labeled with a set of regex rules
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```
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<treatment> (good|great) (for|to|in) <disease>
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<treatment> improve <disease>
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<disease> requiring <treatment>
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...
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```
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# Label set
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Abbreviation|Description
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This is a model to detect treatment and disease mentions in texts from health domains.
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The dataset used for training consists of [PubMed's abstracts](https://www.ncbi.nlm.nih.gov/guide/howto/dwn-records/) and [tweets](https://developer.twitter.com/en/use-cases/do-research) with disease mentions, which are publicly available. It has been semi-automatically labeled with a set of regex rules made ad hoc to find treatment-disease links.
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# Label set
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Abbreviation|Description
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