About this document

NLP Model for Medical Entity Recognition by Namitha Forestry is a document available to read on EtoBox.

The project aims to develop a Natural Language Processing (NLP) model to automatically identify and categorize medical entities from unstructured patient records, enhancing healthcare analytics and decision-making. It addresses the challenges of manual data extraction, which is slow and error-prone, by converting text into structured data formats. The project will utilize Named Entity Recognition (NER) techniques and aims to improve clinical workflows and patient care outcomes.

Author

Namitha Forestry

Language

EN