Advanced Techniques for Predicting the Future Progression of Type 2 Diabetes by Md. Shafiqul Islam (8988548)

“…Moreover, finding discriminative features or risk-factors responsible for the future development of diabetes plays a significant role. In this study, we propose two novel feature extraction approaches for finding the best risk-factors, followed by applying a machine learning pipeline for the long term prediction of type 2 diabetes. …”

Potential Biomarkers to Predict Acute Ischemic Stroke in Type 2 Diabetes by Abu Saleh Md Moin (6189512)

“…<h3>Background and Purpose</h3><p dir="ltr">Patients with type 2 diabetes (T2D) have increased risk of cardiovascular disease (CVD), encompassing myocardial infarction, stroke, and peripheral vascular disease. …”

An ensemble-based machine learning model for predicting type 2 diabetes and its effect on bone health by Belqes Alsadi (18695031)

Predicting long-term type 2 diabetes with support vector machine using oral glucose tolerance test by Hasan T. Abbas (8115014)

“…In this paper, we present an automatic tool that uses machine learning techniques to predict the development of type 2 diabetes mellitus (T2DM). …”

Detection of statistically significant network changes in complex biological networks by Raghvendra Mall (581171)

“…</p><h3>Methods</h3><p dir="ltr">In this paper, we propose an improvement over the state-of-the-art based on the Generalized Hamming Distance adopted for evaluating the topological difference between two networks and estimating its statistical significance. The proposed procedure exploits a more effective model selection criteria to generate <i>p</i>-values for statistical significance and is more efficient in terms of computational time and prediction accuracy than literature methods. …”

Enhanced Inverse Model Predictive Control for EV Chargers: Solution for Rectifier-Side by Ali Sharida (17947847)

“…Unlike MPC, IMPC offers a significantly reduced computational burden by omitting the iterative computations of the cost functions and states predictions. …”

The significance of the papanicolaou smear diagnosis of low-grade squamous intraepithelial lesion cannot exclude high-grade squamous intraepithelial lesion by Nasser, Selim M.

Get full text
Get full text
Get full text
Get full text

Serum Vitamin D Concentration ≥75 nmol/L Is Related to Decreased Cardiometabolic and Inflammatory Biomarkers, Metabolic Syndrome, and Diabetes; and Increased Cardiorespiratory Fitn... by Vijay Ganji (8710491)

Effect of Aggregate Type and Specimen Configuration on Concrete Compressive Strength by Yehia, Sherif

“…The concrete compressive strength and modulus of elasticity were significantly affected by the aggregate type. The flexural strength and split tensile strength were less affected by the aggregate type, which was also confirmed by the values predicted with the ACI equations.…”
Get full text

Effect of Aggregate Type and Specimen Configuration on Concrete Compressive Strength by Mansour, Doaa

Get full text

A Comprehensive Review on Membrane Fouling: Mathematical Modelling, Prediction, Diagnosis, and Mitigation by AlSawaftah, Nour Majdi

“…This paper presents a review of the different membrane fouling types, fouling-inducing factors, predictive methods, diagnostic techniques, and mitigation strategies, with a special focus on RO membrane fouling.…”
Get full text

Inverse Model Predictive Control for Power Electronic Converters by Ali Sharida (17947847)

“…Unlike classical MPC, the computational time required for IMPC is significantly reduced which makes it easily applicable to all types and levels of power electronics converters. …”

Prediction of the Backwater Level Due to Bridge Constriction in Waterways by Assar, Kimia Haji Amou

Get full text

The Effects of Social Determinants of Health on Cardiovascular Outcomes in Lebanese with Type 2 Diabetes by Saadé, Rita

“…Background: Type 2 Diabetes Mellitus (T2DM) is one of the most prevalent chronic diseases in Lebanon and is known to increase the risks of cardio-metabolic events. …”
Get full text
Get full text
Get full text

Whole-Genome Molecular Characterization and Typing of Staphylococcus aureus Isolated from Lebanon by El Hassan, Sarah

“…Using the SCCmecFinder, we were able to predict the mec cassettes and showed that the SSA11 harbored a pseudo-SCCmec element resembling the one detected SCCmec type IV(2B). …”
Get full text
Get full text
Get full text

Predicting tendon tissue grafting source from the extensors of long fingers by Yammine, Kaissar

“…In addition and from an evolutionary perspective, we hypothesized that the observed significantly higher frequency values of the double-slip and triple-slip types of the EDC of the ring finger, EDC of the little finger, and EDM might indicate a natural selection tendency for a higher independence of the former digits in the future evolution of the human hand.…”
Get full text
Get full text
Get full text
Get full text

Prediction of stroke-associated hospital-acquired pneumonia: Machine learning approach by Abujaber, Ahmad A.

“…BackgroundStroke-associated Hospital Acquired Pneumonia (HAP) significantly impacts patient outcomes. This study explores the utility of machine learning models in predicting HAP in stroke patients, leveraging national registry data and SHapley Additive exPlanations (SHAP) analysis to identify key predictive factors. …”
Get full text
Get full text
Get full text

Transfer learning for genotype–phenotype prediction using deep learning models by Feng, Samuel

Get full text

Gene-specific machine learning model to predict the pathogenicity of BRCA2 variants by Mohannad N. Khandakji (13885434)

“…Local, gene-specific information have been shown to aid variant pathogenicity prediction; therefore, our aim was to develop a BRCA2-specific machine learning model to predict pathogenicity of all types of BRCA2 variants.…”

Clinical and biochemical determinants of length of stay, readmission and recurrence in patients admitted with diabetic ketoacidosis by Fateen Ata (12217764)

“…<h3>Background</h3><p dir="ltr">The increasing prevalence of diabetic ketoacidosis (DKA) related admissions poses a significant burden on the healthcare systems globally. …”