janak27 / ScoreClinicalPatientNotes Public

Notifications You must be signed in to change notification settings
Fork 0
Star 1

This repository contains an academic NLP and deep learning project focused on automatically scoring clinical patient notes, based on the NBME Kaggle challenge. It leverages PyTorch to build and train models for natural language understanding and text classification, aiming to extract meaningful insights from clinical text data.

1 star 0 forks Branches Tags Activity

Notifications

Name		Name	Last commit message	Last commit date
Latest commit History 4 Commits
README.md		README.md
Score_Clinical_Notes.ipynb		Score_Clinical_Notes.ipynb

Repository files navigation

NBME - Score Clinical Patient Notes

This NLP + Deep learning based Project For Academics. For more Information, You can visit the Problem Statement Link below.

Problem Statement

Documentation

Natural Language Processing (NLP) - Free Courses

Features

Interactive With Google colab and Jupyter Notebook
Output Follows the Terms and Conditions of Problem Statement.
Python Modules with Lightweight CPU-GPU demand.

About

This repository contains an academic NLP and deep learning project focused on automatically scoring clinical patient notes, based on the NBME Kaggle challenge. It leverages PyTorch to build and train models for natural language understanding and text classification, aiming to extract meaningful insights from clinical text data.

python nlp machine-learning pytorch kaggle-competition tokenization clinical-data colab-notebook

Report repository

Releases

No releases published

Packages

No packages published

Languages

Jupyter Notebook 100.0%