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@@ -23,17 +23,13 @@ It achieves the following results on the evaluation set:
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  ## Model description
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- More information needed
 
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  ## Intended uses & limitations
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- More information needed
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-
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- ## Training and evaluation data
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- More information needed
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- ## Training procedure
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  ### Training hyperparameters
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  | 0.1305 | 2.0 | 1668 | 0.2822 | 0.8354 |
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  | 0.07 | 3.0 | 2502 | 0.3338 | 0.8406 |
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  ### Framework versions
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  ## Model description
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+ The DeepNeural NER-II model is designed to identify multiple enitities e.g. people, objects, organization etc. in textual medical documents.
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+ This clinical support model is one of many to be released, and is a crucial aspect of clinical support systems.
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  ## Intended uses & limitations
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+ The model is meant to be used for research and development purposes by Data Scientists, ML & Software Engineers for the development of
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+ NER applications capable of identifying enitities in medical EHR systems to augment patient health processing.
 
 
 
 
 
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  ### Training hyperparameters
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  | 0.1305 | 2.0 | 1668 | 0.2822 | 0.8354 |
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  | 0.07 | 3.0 | 2502 | 0.3338 | 0.8406 |
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+ ### Loading the model
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+ ```
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+ import
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+ ```
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  ### Framework versions
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