---
license: apache-2.0
datasets:
- ARI-HIPA-AI-Team/Dataset
language:
- en
tags:
- healthcare
- HIPAA
- federal_regulations
pipeline_tag: text-classification
library_name: keras
---

# HIPA-AI ML Model: Keras
This model takes paragraph style reddit posts and predicts whether they are a violation of the Health Insurance Portability and Accountability Act.

## Source
This model was the first place finisher in the HIPA-AI Model competition hosted by Codalab with a score of 70% accuracy. It was authored by tarak2134.

## Details
This model takes a text body between 40 and 750 words as input.
As output, the model gives a binary; "yes, this is a violation", or "no, this is not a violation"
The model tends to be more accurate on larger bodies of text.

## Dataset
This model was trained on an annotated set of 100 reddit posts.  To get more information, see the dataset card at ARI-HIPA-AI-Team/Dataset

## Model Card Authors
Brayden Cloutier

## Model Card Contact
brayclou@umich.edu, zmorell@umich.edu