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 biom茅dico
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 predicci贸n
prediction = model.predict([sample_text["title"] + " " + sample_text["abstract"]]) print("Predicci贸n:", prediction[0])