Machine learning-based detection of sleep-disordered breathing in hypertrophic cardiomyopathy.

Keitaro AkitaShigetaka KageyamaSayumi SuzukiKazuto OhnoMasamitsu KamakuraRyuzo NawadaChiei TakanakaYasushi WakabayashiTakahiro KandaKei TawaraharaMasahiro MutohMasaki MatsunagaSatoru SuwaYasuyo TakeuchiHiroki SakamotoHideki SaitoKazusa HayashiNobuyuki WakaharaKyoko UnnoTakenori IkomaRyota SatoKeisuke IguchiTerumori SatohMakoto SanoKenichiro SuwaYoshihisa NaruseHayato OhtaniMasao SaotomeYuichiro Maekawanull null

Published in: Heart (British Cardiac Society) (2024)

Our study serves as the first to develop a machine learning-based discriminant model for the concomitance of SDB in patients with HCM. The discriminant model may facilitate cost-effective screening tests and treatments for SDB in the population with HCM.

Keyphrases

hypertrophic cardiomyopathy
machine learning
left ventricular
artificial intelligence
big data
deep learning
label free
loop mediated isothermal amplification