Predicting need for heart failure advanced therapies using an interpretable tropical geometry-based fuzzy neural network.

Yufeng ZhangKeith D AaronsonJonathan Gryak Emily WittrupCristian MinoccheriJessica R GolbusKayvan Najarian

Published in: PloS one (2023)

These results demonstrate the ability to successfully predict the need for advanced heart failure therapies by generating transparent and accessible clinical rules although further research is needed to prospectively validate the risk factors identified by the model.

Keyphrases

neural network
heart failure
risk factors
left ventricular
cardiac resynchronization therapy
acute heart failure
atrial fibrillation
climate change
light emitting