Back to knowledge graph
science
machine-learning
Confidence 75%

On evaluation metrics for medical applications of artificial intelligence

On evaluation metrics for medical applications of artificial intelligence Clinicians and software developers need to understand how proposed machine learning (ML) models could improve patient care. No single metric captures all the desirable properties of a model, which is why several metrics are typically reported to summarize a model's performance. Unfortunately, these measures are not easily understandable by many clinicians. Moreover, comparison of models across studies in an objective mann...

Anonymous preview shows an excerpt only. Sign in to read the full item.

Cited 895 times
On evaluation metrics for medical applications of artificial intelligence | Awareness Public Knowledge