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---
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 |