Metabolic health status and renal disorders: a cross-sectional study

F Moeinzadeh, MH Rouhani, S Seirafian, S Vahdat… - Scientific Reports, 2023 - nature.com
Previous surveys suggests that body mass index (BMI) may be positively related to
development of chronic kidney disease (CKD). However, this association might be altered …

Identifying the Most Important Factors in Determining the Osteoporosis in Women Using Data Mining Techniques

MR Salamat, AH Salamat, M Sattari… - Acta Medica …, 2023 - publish.kne-publishing.com
Osteoporosis is one of the primary causes of disability and mortality in the elderly. If
osteoporosis's significant features can be identified, the risk of developing this disease will …

Identifying the Factors Affecting the Survival Rate of Kidney Transplant Patients in Isfahan Using Classification Techniques

A Atapour, M Sattari… - Frontiers in …, 2022 - publish.kne-publishing.com
Purpose: 10% of the world's population suffers from chronic kidney disease and millions of
deaths occur annually due to lack of access to appropriate treatment in the world. Kidney …

Proposed Method for Predicting COVID-19 Severity in Chronic Kidney Disease Patients Based on Ant Colony Algorithm and CHAID

F Moeinzadeh, M Sattari - Journal of Advances in Medical and …, 2022 - journal.zums.ac.ir
Proposed Method for Predicting COVID-19 Severity in Chronic Kidney Disease Patients
Based on Ant Colony Algorithm and CHAID - Journal of Advances in Medical and …

پیشبینی علت سنگ کلیه در بیماران کلیوی با استفاده از تکنیکهای جنگل تصادفی، ماشین بردار پشتیبان و شبکه عصبی.

مژگان مرتضوی, عبداالمیر عطاپو&… - Tehran University …, 2021‎ - search.ebscohost.com
Background: Today, with the advancement of technology in various fields, the importance of
recording data in the field of health is increasing so much that for many diseases around the …