Commit
•
2d1e6c3
1
Parent(s):
510814c
Update README.md
Browse files
README.md
CHANGED
|
@@ -9,6 +9,7 @@ metrics:
|
|
| 9 |
- precision
|
| 10 |
- recall
|
| 11 |
- confusion_matrix
|
|
|
|
| 12 |
base_model:
|
| 13 |
- google-bert/bert-base-cased
|
| 14 |
pipeline_tag: token-classification
|
|
@@ -21,6 +22,12 @@ tags:
|
|
| 21 |
---
|
| 22 |
# Spanish Medical NER
|
| 23 |
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 24 |
## Use
|
| 25 |
- **Primary Use Case**: This model is designed to extract medical entities such as symptoms, diagnostic tests, and treatments from clinical text in the Spanish language.
|
| 26 |
- **Applications**: Suitable for healthcare professionals, clinical data analysis, and research into medical text processing.
|
|
|
|
| 9 |
- precision
|
| 10 |
- recall
|
| 11 |
- confusion_matrix
|
| 12 |
+
|
| 13 |
base_model:
|
| 14 |
- google-bert/bert-base-cased
|
| 15 |
pipeline_tag: token-classification
|
|
|
|
| 22 |
---
|
| 23 |
# Spanish Medical NER
|
| 24 |
|
| 25 |
+
## Acknowledgement
|
| 26 |
+
|
| 27 |
+
This model had been created as part of joint research of HUMADEX research group (https://www.linkedin.com/company/101563689/) and has received funding by the European Union Horizon Europe Research and Innovation Program project SMILE (grant number 101080923) and Marie Skłodowska-Curie Actions (MSCA) Doctoral Networks, project BosomShield ((rant number 101073222). Responsibility for the information and views expressed herein lies entirely with the authors.
|
| 28 |
+
Authors:
|
| 29 |
+
dr. Izidor Mlakar, Rigon Sallauka, dr. Umut Arioz, dr. Matej Rojc
|
| 30 |
+
|
| 31 |
## Use
|
| 32 |
- **Primary Use Case**: This model is designed to extract medical entities such as symptoms, diagnostic tests, and treatments from clinical text in the Spanish language.
|
| 33 |
- **Applications**: Suitable for healthcare professionals, clinical data analysis, and research into medical text processing.
|