Personalized risk stratification through attribute matching for clinical decision making in clinical conditions with aspecific symptoms: The example of syncope.

Monica SolbiatiJames V QuinnFranca DipaolaPiergiorgio DucaRaffaello FurlanNicola MontanoMatthew James ReedRobert S SheldonBenjamin C SunAndrea UngarGiovanni CasazzaGiorgio Costantinonull null

Published in: PloS one (2020)

Attribute matching is a promising tool for personalized and flexible risk prediction. Large databases will need to be used in future studies to test and apply the method in different conditions.

Keyphrases

pulmonary embolism
current status
machine learning
artificial intelligence