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asyml / ForteHealth

The project is in the incubation stage and still under development. ForteHealth is a flexible and powerful ML workflow builder for biomedical and clinical scenarios. This is part of the CASL project: http://casl-project.ai/

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Create an example for medical text understanding

Leolty opened this issue · comments

commented

The idea is mainly for Abbreviation detection and Hyponym detection.

For example, the sample text is from wikipedia, Source:

Sample text:
Appropriately treating underlying illnesses (such as HIV/AIDS, diabetes mellitus, and malnutrition) (HYPONYM) can decrease the risk of pneumonia.[24][84][87] In children less than 6 months of age, exclusive breast feeding reduces both the risk and severity of disease.[24] In people with HIV/AIDS and a CD4 count of less than 200 cells/uL the antibiotic trimethoprim/sulfamethoxazole decreases the risk of Pneumocystis pneumonia[88] and is also useful for prevention in those that are immunocompromised but do not have HIV.[89]

Abbreviation includes HIV, AIDS, CD4, …

Possible included components:

  1. Abbr detection
  2. hyponym detection
  3. Coreference resolution

(Other processors that can help text understanding can be added as well)