README.md

---
language:
- en
- es
---

Biomedic Text Classifier

This repository contains a biomedical text classification model trained using a scikit-learn pipeline and stored in .pkl format.
The model is designed to process titles and abstracts from biomedical research and assign them to predefined categories.
import pickle

How to use?

# Cargar modelo entrenado
with open("classification_model.pkl", "rb") as f:
    model = pickle.load(f)

# Ejemplo de texto biomédico
sample_text = {
    "title": "Adaptive Mechanisms in Cognitive Function Following Structural Intervention",
    "abstract": (
        "The capacity of the human system to reorganize after targeted intervention "
        "remains a subject of ongoing investigation. In this longitudinal study, "
        "standardized assessments were conducted to evaluate how functional performance "
        "evolves over time. A subset of individuals exhibited rapid stabilization of "
        "higher-order processes, while others demonstrated gradual adaptation requiring "
        "extended support."
    )
}

# Realizar predicción
prediction = model.predict([sample_text["title"] + " " + sample_text["abstract"]])
print("Predicción:", prediction[0])