foxlf823/Multi-Filter-Residual-Convolutional-Neural-Network
Multi-Filter Residual Convolutional Neural Network for Text Classification
This tool helps medical coders and healthcare data analysts automatically assign ICD codes to clinical text. You feed it patient notes, discharge summaries, or other clinical documents, and it outputs the relevant ICD-9 or ICD-10 diagnostic and procedural codes. It's designed for professionals who need to efficiently categorize vast amounts of medical text for billing, research, or public health tracking.
No commits in the last 6 months.
Use this if you need to automate the classification of clinical notes into standardized ICD codes, reducing manual effort and ensuring coding consistency.
Not ideal if you are looking for a plug-and-play solution without access to medical text datasets like MIMIC-III, or if you need to classify non-medical text.
Stars
50
Forks
15
Language
Python
License
—
Last pushed
Mar 31, 2021
Commits (30d)
0
Get this data via API
curl "https://pt-edge.onrender.com/api/v1/quality/nlp/foxlf823/Multi-Filter-Residual-Convolutional-Neural-Network"
Open to everyone — 100 requests/day, no key needed. Get a free key for 1,000/day.
Higher-rated alternatives
gaussic/text-classification-cnn-rnn
CNN-RNN中文文本分类，基于TensorFlow
ShawnyXiao/TextClassification-Keras
Text classification models implemented in Keras, including: FastText, TextCNN, TextRNN,...
prakashpandey9/Text-Classification-Pytorch
Text classification using deep learning models in Pytorch
TobiasLee/Text-Classification
Implementation of papers for text classification task on DBpedia
FreedomIntelligence/TextClassificationBenchmark
A Benchmark of Text Classification in PyTorch