Predict Risk of Cerebral Palsy

This tool is a demonstration of a predictive model developed using the SuperLearner algorithm to estimate the risk of cerebral palsy in preterm infants.

Disclaimer
This app is designed for research and educational purposes. Predictive estimates provided by this app are based on the data entered and do not account for individual patient circumstances. The results generated by this model are not intended to guide clinical care or treatment decisions.
While the model demonstrates an AUC-ROC of 0.84 in internal validation, it has not been externally validated on independent datasets. As such, its generalizability to other populations or settings is unknown. Predictions should not be interpreted as definitive or relied upon for clinical outcomes.
Users are reminded not to enter any personally identifiable information or protected health information into the app. While every effort has been made to ensure the security of the platform, data entered into this web interface may not be fully secure and could potentially be intercepted.
The authors of this app and the hosting platform are not responsible for any decisions, outcomes, or damages resulting from the use of this tool. By using this app, users agree that they assume full responsibility for any actions taken based on the results provided.
Medical or surgical treatment of PDA

Use of inotropes at any time

IVH Grade 3 or 4

Posthemorragic hydrocephalus

Cystic white matter disease

Echodense white matter disease


If you have any questions about this tool or would like to collaborate on external validation, please contact Stefan Kuhle at stefan.kuhle@i-med.ac.at.