Prediction and elucidation of triglycerides levels using a machine learning and linear fuzzy modelling approach

WMAW Ahmad, F Ahmed, NFM Noor… - BioMed Research …, 2022 - Wiley Online Library
Introduction. Triglycerides are lipids composed of fatty acids that provide energy to the cell.
These compounds are delivered to the body's cells via lipoproteins found in the …

A predictive hypertension model for patients with dyslipidemia and type 2 diabetes mellitus: a robust hybrid methodology

WMAW Ahmad, MN Adnan… - … Journal of Medical …, 2023 - search.proquest.com
Background: Hypertension is a public health problem used to describe high blood pressure
where the blood vessels are persistently increased in force. According to WHO …

[HTML][HTML] Synergistic effect of blood lipids and uric acid on periodontitis in patients with type 2 diabetes

C Ding, F Du, L Li, Y Chen - American Journal of Translational …, 2023 - ncbi.nlm.nih.gov
Objective: This study investigated the interaction of dyslipidemia and hyperuricemia on
periodontitis in patients with type 2 diabetes mellitus (T2DM). Methods: The clinical data of …

[Retracted] Automatic Evaluation Method of Oral English Based on Multiplex Mode

X Chi - Wireless Communications and Mobile Computing, 2022 - Wiley Online Library
For the problem of the low accuracy of large‐scale oral English, based on oral English from
the perspective of difficulty of oral English text and phonology, a multimodal‐based …

[HTML][HTML] Modeling of Knowledge Toward Herbal Medicine for Oral Health Using Multiple Linear Regression and Neural Network

A Tabnjh, WMAW Ahmad, R Hasan - Cureus, 2023 - ncbi.nlm.nih.gov
Materials and methods It was discovered that the KS is significantly related to the sex, age,
income, occupation, and practice score (PS) at the first stage of the selection process, where …

[PDF][PDF] Comparison of Binary Logistic Regression and SVM to Classify Diabetes Sufferers

FS Cahyaningrum - Journal of Intelligent Systems and Information …, 2024 - jurnalapik.id
Diabetes is a chronic metabolic disorder characterized by high levels of glucose in the blood
due to disruption of the insulin hormone which functions as a regulator of the balance of …

MLPA-Net: A Novel Lightweight Multi-Channel Attention Convolutional Network for COVID-19 Image Classification Based on Chest X-Ray

L Zhu, M Wang, W Chen, W Zhou… - Available at SSRN …, 2022 - papers.ssrn.com
Background and Objective: COVID-19 is a new respiratory infectious disease caused by
severe acute respiratory syndrome coronavirus type II (SARS-COV-2), which has had a …

[PDF][PDF] Research Article Prediction and Elucidation of Triglycerides Levels Using a Machine Learning and Linear Fuzzy Modelling Approach

WMAW Ahmad, F Ahmed, NFM Noor, NA Aleng… - 2022 - academia.edu
2.2. Study Design. A methodology based on the design of a computational retrospective
study. The study case was illustrated by Triglycerides (Y), Waist (X1), High-Density …

[PDF][PDF] Modeling the Factors Associated with BMI among Type 2 Diabetes Mellitus Patients: A Hybrid Model Approach

FMM Ghazali, WMAW Ahmad, MN Adnan… - academia.edu
Background: Diabetes mellitus is a chronic illness that results in abnormally high blood
sugar levels. It can result in a range of complications. Objective: The purpose of this study is …

[PDF][PDF] The Association of FTO Gene Polymorphism with Some Biochemical Markers of Type 2 Diabetes Mellitus Patients in Karbala Province.

ZAH Kadhim - 2018 - uokerbala.edu.iq
Materials and Methods Table 3-1 The chemical used in the current study 22 Table 3-2 The
kits used in the Current Study 22 Table 3-3 The Components of the DNA Extraction Kit 22 …