Update README.md
Browse files
README.md
CHANGED
|
@@ -49,13 +49,17 @@ BioBERT based NER model for medical symptoms
|
|
| 49 |
|
| 50 |
|
| 51 |
|
| 52 |
-
<b> Model Description </b>
|
| 53 |
|
| 54 |
The model was trained on a combined maccrobat and i2c2 dataset and is based on biobert. If you use this model kindly cite the paper below:
|
| 55 |
|
| 56 |
-
<b>
|
|
|
|
|
|
|
|
|
|
|
|
|
| 57 |
|
| 58 |
-
<b> How to use the Model </b>
|
| 59 |
|
| 60 |
<div class="wrapper">
|
| 61 |
<span class="inner">
|
|
|
|
| 49 |
|
| 50 |
|
| 51 |
|
| 52 |
+
<b> <u> Model Description </u> </b>
|
| 53 |
|
| 54 |
The model was trained on a combined maccrobat and i2c2 dataset and is based on biobert. If you use this model kindly cite the paper below:
|
| 55 |
|
| 56 |
+
<b>
|
| 57 |
+
<i>
|
| 58 |
+
Developing a BioBERT-based Natural Language Processing Algorithm for Acute Myeloid Leukemia Symptoms Identification from Clinical Notes - Sena Chae , Pratik Maitra , Padmini Srinivasan
|
| 59 |
+
</i>
|
| 60 |
+
</b>
|
| 61 |
|
| 62 |
+
<b> <u> How to use the Model </u> </b>
|
| 63 |
|
| 64 |
<div class="wrapper">
|
| 65 |
<span class="inner">
|