Predicting Visit Cost of Obstructive Sleep Apnea Using Electronic Healthcare Records With Transformer.

ABSTRACT:

Background

Obstructive sleep apnea (OSA) is growing increasingly prevalent in many countries as obesity rises. Sufficient, effective treatment of OSA entails high social and financial costs for healthcare.

Objective

For treatment purposes, predicting OSA patients' visit expenses for the coming year is crucial. Reliable estimates enable healthcare decision-makers to perform careful fiscal management and budget well for effective distribution of resources to hospitals. The challenges created by scarcity of high-quality patient data are exacerbated by the fact that just a third of those data from OSA patients can be used to train analytics models: only OSA patients with more than 365 days of follow-up are relevant for predicting a year's expenditures.

Methods and procedures<

SUBMITTER: Chen Z 

PROVIDER: S-EPMC10234513 | biostudies-literature | 2023

REPOSITORIES: biostudies-literature