-
21
The value of amniotic fluid interleukin-6 determination in patients with preterm labor and intact membranes in the detection of microbial invasion of the amniotic cavity
Published 1994“…Receiver-operator characteristic curve analysis, logistic regression analysis, and Cox's proportional-hazards model were used to explore the relationship between several explanatory and outcome variables. Diagnostic index values of interleukin-6, glucose level, Gram stain, leukocyte esterase; and limulus amebocyte lysate assay for prediction of a positive amniotic fluid culture, preterm delivery, clinical infection, and neonatal sepsis were calculated. …”
Get full text
Get full text
Get full text
Get full text
article -
22
Development of Seed Variables Prediction Models for Use in Dynamic Backcalculation of FWD Data
Published 2022“…The OOB-Estimate of error rate and the overall accuracy values obtained dictate that the predictor variables selected to build the RF models are efficiently trained and generate accurate predictions for all seed variables except for the Rayleigh Damping Parameter of the PCC layer “”. …”
Get full text
Get full text
Get full text
masterThesis -
23
-
24
The potential impact and diagnostic value of inflammatory markers on diabetic foot progression in type II diabetes mellitus: A case–control study
Published 2024“…The AUCs for CRP, IL-6, and HbA1c in predicting diabetic foot were 0.839, 0.728, and 0.834, respectively, demonstrating a good predictive value for each diagnostic marker. …”
-
25
Effectiveness of Positron Emission Tomography for Predicting Chemotherapy Response in Colorectal Cancer Liver Metastases
Published 2010“…When performed within 4 weeks of chemotherapy, PET had a negative predictive value of 13.3% and a positive predictive value of 94.3%. …”
Get full text
Get full text
Get full text
article -
26
Quality Degradation And Pricing of Perishable Food Products
Published 2024Get full text
doctoralThesis -
27
Prediction the performance of multistage moving bed biological process using artificial neural network (ANN)
Published 2020“…Experimental data was used to develop the appropriate architecture for the AAN using iterative steps of training and testing. Significant removals of chemical oxygen demand (COD) (89.2 to 98.3%), <i>NH</i><sub>4</sub><sup>+</sup> (88.5 to 98.9%), and total phosphorus (TP) (77.9 to 99.9%) were achieved at a total HRT of 13.3 h (HRT<sub>Z-1</sub> = 3 h, HRT<sub>Z-2</sub> = 6 h and HRT<sub>Z-3</sub> = 5.3 h) and an IRF value of 1.75. …”
-
28
Validation of the emergency surgery score’s predictive accuracy for postoperative outcomes and ICU admissions in MENA vs. non-MENA emergency surgery patients
Published 2025“…<h3>Background</h3><p dir="ltr">The Emergency Surgery Score (ESS) has demonstrated strong predictive value for morbidity, mortality, and long-term survival outcomes. …”
-
29
Biochar yield prediction using response surface methodology: effect of fixed carbon and pyrolysis operating conditions
Published 2023“…An empirical equation is developed based on a statistically significant quadratic model to produce optimized biochar yield with high prediction accuracy. …”
-
30
Long Term HbA1c Prediction Using Multi-Stage CGM Data Analysis
Published 2021“…Having an elevated HbA1c level significantly increases the risk of developing diabetes-related health complications. …”
-
31
Prediction of pressure gradient for oil-water flow: A comprehensive analysis on the performance of machine learning algorithms
Published 2022“…A Friedman's test and Wilcoxon Sign-Rank post hoc analysis with Bonferroni correction show that PG prediction errors using GP are significantly lower than using the ANN model (p < 0.05). …”
-
32
-
33
Validation of the FASILA Score for Predicting Interventions and Outcomes in Traumatic Abdominal and Pelvic Injuries: A Prospective Clinical Study
Published 2025“…A FASILA score ≥ 4 had a high specificity (85.5%) and negative predictive value (80%) for predicting the need for surgery. …”
-
34
Predicting and Interpreting Student Performance Using Machine Learning in Blended Learning Environments in a Jordanian School Context
Published 0024“…Various ML algorithms, such as Support Vector Machines, Logistic Regression, K-Nearest Neighbors, Naïve Bayes, Decision Trees, Random Forest, AdaBoost, Bagging, and Artificial Neural Networks are applied to predict student performance. SHAP values are used to interpret these predictions, offering insights into the factors most impacting student outcomes. …”
Get full text
-
35
-
36
Prediction of in-hospital mortality in patients with post traumatic brain injury using National Trauma Registry and Machine Learning Approach
Published 2022“…<h3>Background</h3><p dir="ltr">The use of machine learning techniques to predict diseases outcomes has grown significantly in the last decade. …”
-
37
-
38
A hybrid model to predict the pressure gradient for the liquid-liquid flow in both horizontal and inclined pipes for unknown flow patterns
Published 2023“…This study proposes a hybrid scheme where two machine-learning (ML) models are coupled in a series to predict the PG value without any conclusive FP information. …”
-
39
Data-Driven Electricity Demand Modeling for Electric Vehicles Using Machine Learning
Published 2024Get full text
doctoralThesis -
40
