Background: Left ventricular hypertrophy (LVH) is a powerful predictor of future cardiovascular events. Objectives: The objectives of this study were to conduct a systematic review of machine learning (ML) algorithms for the identification of LVH and ...
Simon W Rabkin
doaj +1 more source
The study included 21 patients (mean age 35,86±10,01 years) with hypertrophic cardiomyopathy (HCMP) diagnosed according to the WHO criteria. All patients underwent in-hospital complex clinical and functional assessment, electrocardiography (QT dispersion,
O. Allaberganov +2 more
doaj
Abstrak Perbedaan jenis geometri hipertrofi ventrikel kiri dikaitkan dengan risiko penyakit kardiovaskular yang berbeda. Ekokardiografi dengan bantuan kriteria voltase elektrokardiografi (EKG) hipertrofi ventrikel kiri dapat membedakan jenis geometri ...
Octo Tumbur, Zainal Safri, Refli Hassan
doaj
Prognostic value of different electrocardiographic criteria for left ventricular hypertrophy in Chinese community-dwelling older adults. [PDF]
Ma J +6 more
europepmc +1 more source
Continuous Associations and Predictive Performance of Electrocardiographic Voltage- and Product-Based Indices for Incident Hypertension: A Prospective Cohort Study. [PDF]
Tanaka F +5 more
europepmc +1 more source
Gabapentinoids for oncologic pruritus: a retrospective cohort study. [PDF]
Osman A +12 more
europepmc +1 more source
Prediabetes, Malignant Left Ventricular Hypertrophy, and Risk of Incident Heart Failure Among Hypertensive Adults. [PDF]
Kaze AD +7 more
europepmc +1 more source
Machine learning to classify left ventricular hypertrophy using electrocardiographic feature extraction by variational autoencoder. [PDF]
Gupta A +6 more
europepmc +1 more source
Left Ventricular Hypertrophy With Pre-Excitation: Thinking Beyond the Usual Hypertrophic Cardiomyopathy Diagnosis. [PDF]
Bukhari S +4 more
europepmc +1 more source
Potential of R Wave in aVL Lead in Cardiovascular Risk Assessment. [PDF]
Jug J +3 more
europepmc +1 more source

