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Models:
Philip Bordner
philipB/
MedicalDiagnosis
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QA solving using DL methods applied to medical diagnosis.
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QA solving using DL methods applied to medical diagnosis.
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## Dataset

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## Dataset





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We have a dataset of 2350 diseases with their symptoms. The data format is similar to the dataset from 

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We have a dataset of 2350 diseases with their symptoms. The data format is similar to the dataset from 





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babi task (Facebook). For example, for the disease Achasia:

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babi task (Facebook). 





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![Achasia](http://www.diegoacuna.me/factlist.png?format=raw)

  
  





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### Exploratory analysis of the dataset

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### Exploratory analysis of the dataset





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We have 2350 diseases on the dataset. Augmentation has been applied to the original dataset by replacing words by their synonyms and deleting and permuting

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We have 2350 diseases on the dataset. Augmentation has been applied to the original dataset by replacing words by their synonyms and deleting and permuting





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facts randomly. The final dataset consists of:

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facts randomly. The final dataset consists of: