Assessment of potential transthyretin amyloid cardiomyopathy cases in the Brazilian public health system using a machine learning model.

ABSTRACT:

Objectives

To identify and describe the profile of potential transthyretin cardiac amyloidosis (ATTR-CM) cases in the Brazilian public health system (SUS), using a predictive machine learning (ML) model.

Methods

This was a retrospective descriptive database study that aimed to estimate the frequency of potential ATTR-CM cases in the Brazilian public health system using a supervised ML model, from January 2015 to December 2021. To build the model, a list of ICD-10 codes and procedures potentially related with ATTR-CM was created based on literature review and validated by experts.

Results

From 2015 to 2021, the ML model classified 262 hereditary ATTR-CM (hATTR-CM) and 1,581 wild-type ATTR-CM (wtATTR-CM) potential cases. Overall, the median age of hATTR-CM and wtATTR-CM

SUBMITTER: Zuppo Laper I 

PROVIDER: S-EPMC10868784 | biostudies-literature | 2024

REPOSITORIES: biostudies-literature