Medical Abbreviation Classifier

The baseline model uses 1990 rows of data, embeds using Word2Vec and trains on LSTM. The other models change one factor.

The BioWordVec model was the best one during testing.

{% if results %}

Classification using: {{name}}


{% for token, label in results.items() %} {% endfor %} {% for token, label in results.items() %} {% endfor %}
{{ token }}
{{ label }}
{% endif %}