An interplay between non-coding RNAs and gut microbiota in human health

F Fardi, LB Khasraghi, N Shahbakhti… - Diabetes Research and …, 2023 - Elsevier
Humans have a complicated symbiotic relationship with their gut microbiome, which is
postulated to impact host health and disease broadly. Epigenetic alterations allow host cells …

A Comprehensive Survey on Diabetes Type-2 (T2D) Forecast Using Machine Learning

SM Nimmagadda, G Suryanarayana, GB Kumar… - … Methods in Engineering, 2024 - Springer
Diabetes type 2 remains a pressing worldwide health subject, highlighting the need for
advanced early detection methods. In this study, we performed a comprehensive analysis of …

[HTML][HTML] A novel machine learning approach for diagnosing diabetes with a self-explainable interface

G Dharmarathne, TN Jayasinghe, M Bogahawaththa… - Healthcare …, 2024 - Elsevier
This study introduces the first-ever self-explanatory interface for diagnosing diabetes
patients using machine learning. We propose four classification models (Decision Tree (DT) …

[HTML][HTML] An examination of the hybrid meta-heuristic machine learning algorithms for early diagnosis of type II diabetes using big data feature selection

F Navazi, Y Yuan, N Archer - Healthcare Analytics, 2023 - Elsevier
People are increasingly getting type II diabetes mellitus (T2DM) due to unhealthy food
styles, decreased outdoor activities caused by the COVID-19 pandemic, and unawareness …

An efficient approach to detect diabetes using XGBoost classifier

K Laxmikant, R Bhuvaneswari… - 2023 Winter Summit on …, 2023 - ieeexplore.ieee.org
Diabetes is a chronic and metabolic health condition that has overwhelmed a myriad of
people worldwide. It is characterized by the elevated blood glucose level, which may lead to …

Use of data mining approaches to explore the association between type 2 diabetes mellitus with SARS-CoV-2

H Ghazizadeh, N Shakour, S Ghoflchi… - BMC Pulmonary …, 2023 - Springer
Background and objective Corona virus causes respiratory tract infections in mammals. The
latest type of Severe Acute Respiratory Syndrome Corona-viruses 2 (SARS-CoV-2), Corona …

Serum zinc and copper concentrations and dyslipidemia as risk factors of cardiovascular disease in adults: Data mining techniques

A Mansoori, S Ghiasi Hafezi, A Ansari… - … Trace Element Research, 2024 - Springer
This study aimed to examine the relationship between serum cholesterol levels and the ratio
of zinc (Zn) and copper (Cu) in the blood serum and the incidence of cardiovascular disease …

White blood cell and platelet distribution widths are associated with hypertension: data mining approaches

A Mansoori, NS Farizani Gohari, L Etemad… - Hypertension …, 2024 - nature.com
In this paper, we are going to investigate the association between Hypertension (HTN) and
routine hematologic indices in a cohort of Iranian adults. The data were obtained from a total …

Platelet distribution widths and white blood cell are associated with cardiovascular diseases: data mining approaches

M Poudineh, A Mansoori, E Sadooghi Rad… - Acta …, 2023 - Taylor & Francis
Objective To investigate the association between cardiovascular diseases (CVDs) and
haematologic factors in a cohort of Iranian adults. Method For a total population of 9,704 …

Prediction of cardiovascular disease risk by serum zinc and copper concentrations and anthropometric measurements

M Rashidmayvan, A Mansoori, M Aghasizadeh… - Journal of Trace …, 2024 - Elsevier
Introduction We aimed to investigate the association between cardiovascular disease (CVD)
and various anthropometric indices, as well as the serum levels of copper (Cu) and zinc …