Effectiveness of Positron Emission Tomography for Predicting Chemotherapy Response in Colorectal Cancer Liver Metastases by Glazer, Evan

“…When performed within 4 weeks of chemotherapy, PET had a negative predictive value of 13.3% and a positive predictive value of 94.3%. …”
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Predicting the Heats of Fusion of Ionic Liquids via Group Contribution Modeling and Machine Learning by Zeinab, Samira Jihad

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Systematic review and meta-analysis of performance of wearable artificial intelligence in detecting and predicting depression by Alaa Abd-Alrazaq (17430900)

“…Until further research improve its performance, wearable AI should be used in conjunction with other methods for diagnosing and predicting depression. Further studies are needed to examine the performance of wearable AI based on a combination of wearable device data and neuroimaging data and to distinguish patients with depression from those with other diseases.…”

Clinical Phenotyping and Multimodal Treatment of Men With Chronic Prostatitis/Chronic Pelvic Pain Syndrome From the Middle East and North Africa: Determining Treatment Outcomes and... by Ahmad Majzoub (14058045)

“…NIH-CPSI scores were computed initially and after 3 months of treatment, and predictors of clinical improvement were assessed.</p><h3>Results</h3><p dir="ltr">The total NIH-CPSI improved significantly with a mean reduction of 8.21 after 3 months of treatment (P < .001). 66.2% of patients had a clinical improvement demonstrated as a total NIH-CPSI score reduction by at least 6 points after 3 months of treatment. …”

Data-driven robust model predictive control for greenhouse temperature control and energy utilisation assessment by Farhat Mahmood (15468854)

“…First, an analytical model based on mass and energy balance and a data-driven model based on an artificial neural network is developed, and their prediction performance is compared. …”

Using Data Mining and Text Mining Techniques in Predicting the Price of Real Estate Properties in Dubai by Khashan, Deena Younis Abo

“…In this thesis, the effectiveness of using linear regression modeling as a data mining technique in predicting the price of a real estate property based on online real estate classifieds is examined. …”
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Prediction the performance of multistage moving bed biological process using artificial neural network (ANN) by Fares Almomani (12585685)

“…The removal efficiencies in the proposed ENR-BP were four fold higher than the suspended growth process and in the same order of magnitude of 5-stage Bardenpho-MBBR. The developed ANN-based model provides an efficient and robust tool for predicting and forecasting the performance of the ENR-BP.…”

Accurate prediction of dynamic viscosity of polyalpha-olefin boron nitride nanofluids using machine learning by Ahmad K. Sleiti (15955149)

“…These results suggest that the use of machine learning models can significantly improve the accuracy of predicting the viscosity of PAO-hBN nanofluids. …”

Prediction of pressure gradient for oil-water flow: A comprehensive analysis on the performance of machine learning algorithms by Md Ferdous Wahid (13485799)

“…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). …”

Interval-Valued Reduced Ensemble Learning Based Fault Detection and Diagnosis Techniques for Uncertain Grid-Connected PV Systems by Khaled Dhibi (16891524)

“…Ensemble method is a tool that merges several base models in order to produce one optimal predictive model. …”

Biochar yield prediction using response surface methodology: effect of fixed carbon and pyrolysis operating conditions by Sabah Mariyam (14150859)

“…An empirical equation is developed based on a statistically significant quadratic model to produce optimized biochar yield with high prediction accuracy. …”

A screening instrument for sleep apnea predicts airway maneuvers in patients undergoing advanced endoscopic procedures by Azar, Riad

“…Background & Aims Among patients undergoing advanced endoscopy, unrecognized obstructive sleep apnea (OSA) could predict sedation-related complications (SRCs) and the need for airway maneuvers (AMs). …”
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Chemotherapy Regimen Predicts Steatohepatitis and an Increase in 90-Day Mortality After Surgery for Hepatic Colorectal Metastases by Vauthey, Jean-Nicolas

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Machine learning and discriminant function analysis in the formulation of generic models for sex prediction using patella measurements by Mubarak A. Bidmos (14158851)

“…Some bones like the skull and pelvis display distinct morphological traits that are based on shape. These morphological traits which are sexually dimorphic across different population groups have been shown to provide an acceptably high degree of accuracy in the prediction of sex. …”

Predictive factors for giftedness among Syrian refugee students: A focus on academic achievement, gender, and school context by Ali M. Alodat (22508036)

“…Middle school students were less likely to be identified compared to secondary students, while gender differences were not significant. Predictive modeling results should be interpreted with caution, as gifted identification was derived directly from the HOPE total score; models incorporating HOPE items closely mirrored the HOPE-based classification, whereas models using only demographic variables had limited discriminatory power. …”

Metformin attenuates V-domain Ig suppressor of T-cell activation through the aryl hydrocarbon receptor pathway in Melanoma: In Vivo and In Vitro Studies by Fawaz E., Alanazi

“…VISTA and AHR levels were assessed by qPCR, Western blot, immunofluorescence microscope, flow cytometry, and immunohistochemistry. Here, metformin significantly decreased VISTA and AHR levels in vitro and in vivo. …”
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Follow up and comparative assessment of IgG, IgA, and neutralizing antibody responses to SARS-CoV-2 between mRNA-vaccinated naïve and unvaccinated naturally infected individuals ov... by Salma, Younes

“…At the 7th month, there was a significant decline in antibody responses among VN individuals, but not NI individuals, with a minimum decrease of 3.7-fold (p < 0.001). …”
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Explainable machine learning model and reliability analysis for flexural capacity prediction of RC beams strengthened in flexure with FRCM by Tadesse G. Wakjira (14779165)

“…The predicted flexural and load capacities of the beams based on the existing analytical models are highly scattered and either over-conservative or unsafe. …”

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

“…Data generated from an oral glucose tolerance test (OGTT) was used to develop a predictive model based on the support vector machine (SVM). …”

Prediction of transportation index for urban patterns in small and medium-sized Indian cities using hybrid RidgeGAN model by Thottolil, Rahisha

“…A hybrid framework based on Kernel Ridge Regression (KRR) and the CityGAN model is introduced to predict network density using spatial indicators of human settlements. …”
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