App URL
https://apps.healthuniverse.com/hod-ell-bdr
Status
Ready
Created On
Updated On
This is an interactive Machine Learning Web App "ML in Healthcare" developed using Python and StreamLit. It uses ML algorithms to build powerful and accurate models to predict the risk (High / Low) of the user of having a Heart Attack or Breast Cancer based on the user's specific attributes like age, sex, heart rate, blood sugar, etc.

More details

Use Cases Limitations Evidence Owner's Insight

Used to predict the to predict the risk (High / Low) of the user of having a Heart Attack or Breast Cancer based on the users specific attributes like age, sex, heart rate, blood sugar, etc.

Not validated with a peer-reviewed article.

The models are trained using data from https://archive.ics.uci.edu/ml/index.php, particularly the Heart Attack Prediction and Breast Cancer (Wisconsin) datasets.

Assists with risk prediction. The user can observe instantaneous updates in both plots and metrics as adjustments are made to the model parameters.
Stable

Warning: App may appear to work well but has not been peer reviewed. Not intended for clinical use. Use with caution.

  • Favorites: 0
  • Executions: 19
  • Clinical Informatics

Owner

Kinal Patel

Member since