Abstract
This work demonstrates a NLP pipeline on classifying different canine parvovirus diagnosis from visit summaries. The preliminary results show promising efficacy in employing BERT based models for this task. This work also reveals a way to make use of the largely untapped data from veterinary free-text fields to help improve pet health.
| Original language | English (US) |
|---|---|
| Title of host publication | Proceedings - 2022 IEEE 10th International Conference on Healthcare Informatics, ICHI 2022 |
| Publisher | Institute of Electrical and Electronics Engineers Inc. |
| Pages | 614-615 |
| Number of pages | 2 |
| ISBN (Electronic) | 9781665468459 |
| DOIs | |
| State | Published - 2022 |
| Event | 10th IEEE International Conference on Healthcare Informatics, ICHI 2022 - Rochester, United States Duration: Jun 11 2022 → Jun 14 2022 |
Publication series
| Name | Proceedings - 2022 IEEE 10th International Conference on Healthcare Informatics, ICHI 2022 |
|---|
Conference
| Conference | 10th IEEE International Conference on Healthcare Informatics, ICHI 2022 |
|---|---|
| Country/Territory | United States |
| City | Rochester |
| Period | 6/11/22 → 6/14/22 |
Bibliographical note
Funding Information:This research is made possible with funding from Merck Animal Health
Publisher Copyright:
© 2022 IEEE.
Keywords
- canine parvovirus
- natural language processing
- text classification
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