Update README.md

README.md

@@ -25,7 +25,7 @@ This is a fine-tuned version of the pre-trained biomedical language model [bsc-b
 
 This model has been fine-tuned for text classification on dermatological Spanish electronic health records (EHR). It leverages the pre-trained biomedical language understanding from the [bsc-bio-ehr-es](https://huggingface.co/PlanTL-GOB-ES/bsc-bio-ehr-es) model and adapts it to classify dermatology-related texts effectively.
 The model is intended to predict among 25 different skin diseases from a medical record. It could be a first visit or a follow-up visit.
-It takes as input three things: 
+It takes as input four features: 
 - *textual medical record:* the EHR written by a doctor
 - *disease type:* the type of disease associated with the EHR
 - *disease location:* the location in the body of the disease