Patient-Similarity Function

Cross-source consensus on Patient-Similarity Function from 1 sources and 4 claims.

1 sources · 4 claims

Uses

The study developed a patient-similarity function that retrieves outcomes from the 50 most similar prior patients. — Prediction of Oswestry Disability Index and Numeric Rating Scale scores after lumbar spine surgery: machine learning model development and fairness assessment
The system found 50 comparators within preset constraints for 97% of test cases. — Prediction of Oswestry Disability Index and Numeric Rating Scale scores after lumbar spine surgery: machine learning model development and fairness assessment
The similarity function used a K-nearest neighbour model ranked by Manhattan distance in feature space. — Prediction of Oswestry Disability Index and Numeric Rating Scale scores after lumbar spine surgery: machine learning model development and fairness assessment
Feature distances were weighted by SHAP importance so more important predictors required closer similarity. — Prediction of Oswestry Disability Index and Numeric Rating Scale scores after lumbar spine surgery: machine learning model development and fairness assessment