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Assessment of Hypertensive Patients' Complex Metabolic Status Using Data Mining Methods.
J Cardiovasc Dev Dis. 2023 Aug 13;10(8):345. doi: 10.3390/jcdd10080345.
J Cardiovasc Dev Dis. 2023.
PMID: 37623358
Free PMC article.
Determining the prevalence of childhood hypertension and its concomitant metabolic abnormalities using data mining methods in the Northeastern region of Hungary.
Kovács B, Németh Á, Daróczy B, Karányi Z, Maroda L, Diószegi Á, Nádró B, Szabó T, Harangi M, Páll D.
Kovács B, et al. Among authors: maroda l.
Front Cardiovasc Med. 2023 Jan 10;9:1081986. doi: 10.3389/fcvm.2022.1081986. eCollection 2022.
Front Cardiovasc Med. 2023.
PMID: 36704476
Free PMC article.
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Discriminating Low to High Adherent Type 2 Patients with Diabetes by Glycosylated Hemoglobin A1c, Eating Self-Efficacy and Other Psychosocial Determinants: Difference Between Patient and Physician Adherence Models.
Köbling T, Katona É, Maroda L, Váradi Z, Somodi S, Páll D, Zrínyi M.
Köbling T, et al. Among authors: maroda l.
Patient Prefer Adherence. 2022 Jun 2;16:1405-1414. doi: 10.2147/PPA.S361413. eCollection 2022.
Patient Prefer Adherence. 2022.
PMID: 35694282
Free PMC article.
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The Importance of Arterial Stiffness Assessment in Patients with Familial Hypercholesterolemia.
Kovács B, Cseprekál O, Diószegi Á, Lengyel S, Maroda L, Paragh G, Harangi M, Páll D.
Kovács B, et al. Among authors: maroda l.
J Clin Med. 2022 May 19;11(10):2872. doi: 10.3390/jcm11102872.
J Clin Med. 2022.
PMID: 35628997
Free PMC article.
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