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Browsing Faculty of Communication, Arts and Sciences by Author "Arbab, Ahmed Mohamed Hamad"
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Item Big data-based grey forecast mathematical model to evaluate the effect of Escherichia coli infection on patients with lupus nephritis(Elsevier B.V., 2021-07) Fan, Maoxiao; Gu, Shuaishuai; Jin, Yansheng; Ding, Lan; Ghonaem, Eman; Arbab, Ahmed Mohamed HamadThe grey predictive mathematical model based on big data was used for analysis on the effect of Escherichia coli infection on patients with lupus nephritis (LN) in this study. Then, 156 patients diagnosed with LN infections by Wuzhong People's Hospital's information system (HIS) from October 30, 2017 to October 30, 2019 were selected as the experimental group, and 89 patients without LN infections were selected as the control group. Besides, the grey theory mathematical model was applied to process the integrated data, and feature analysis was employed to screen out disease-related bio-markers for the diagnosis of LN. The two groups were compared for affected organs, treatment, laboratory indicators, pathogenic bacteria, and recovery status. Multivariate logistic regression was used to analyze the related factors of patients with infections. The results showed that the specificity, sensitivity, and accuracy of the big data diagnosis based on the grey theory mathematical model were 78.9%, 87.6%, and 92.1, respectively; hormones, c-reactive protein, procalcitonin, and the daily antibiotic dose were positively correlated with concurrent infections (P < 0.05); 38 cases of Gram-negative bacteria were screened out, accounting for the largest proportion (37.18%); the effective rate of the experimental group was obviously lower than that of the control group (P < 0.05), suggesting that C-reactive protein (CRP), procalcitonin (PCT), antibiotics, daily dose of hormones, and serum albumin were independent risk factors for LN infection. In conclusion, the grey predictive mathematical model based on big data had high specificity, sensitivity, and accuracy in diagnosing the occurrence of infection in patients with LN; LN infection was mainly respiratory infection, and gram-negative bacteria were the main pathogen. Patients with LN infections showed higher serum creatinine, 24-hour urine protein quantification, CRP, and PCT, and lower serum albumin and recovery effect versus those without LN infections. © 2021 The Author(s)Item Correlation between HPV infection and ovarian epithelial cancer diagnosed by Dynamic Contrast-enhanced magnetic resonance imaging information technology under exponential distribution mathematical model(Elsevier B.V., 2021-07) Liang, Bo; He, Han; Zeng, Lingyu; Pan, Min; Huang, Tingting; Wang, Xinmin; Kabene, Stefane Mostefa; Arbab, Ahmed Mohamed HamadThis research aims to analyze the correlation between human papillomavirus (HPV) infection and ovarian epithelial cancer based on exponential distribution mathematical model, so as to provide an experimental basis for the early diagnosis of ovarian epithelial cancer by magnetic resonance imaging (MRI) in the future. In this study, 124 patients with ovarian epithelial cancer tissues pathologically confirmed in our hospital from March 31, 2017 to February 20, 2019 were selected as the experimental group, and 64 patients with normal ovarian tissues were selected as the control group, and the positive rate of HPV infection was detected by the computer cell test (CCT) system. Dynamic contrast-enhanced magnetic resonance imaging (DCE-MRI) was constructed and adopted to analyze the scanning images. The correlation between HPV infection and pathological type, clinical stage, tissue differentiation degree, and CA125 in serum was studied by exponential distribution mathematical model. The results showed that the positive rate of HPV infection in the ovarian tissues of the experimental group was significantly higher than that of the control group (P < 0.05). Highly differentiated patients accounted for 25.97%, moderately differentiated patients accounted for 43.81%, and lowly differentiated patients accounted for 30.22%. Patients with clinical stage I-II accounted for 24.72%, patients with stage III accounted for 49.11%, and patients with stage IV accounted for 26.17%. HPV infection was significantly correlated with clinical stage III and moderate tissue differentiation by MRI of patients (P < 0.05), and extremely significantly correlated with clinical stage IV and low tissue differentiation by MRI (P < 0.001). The above findings show that the information technology of dynamic contrast-enhanced magnetic resonance imaging can clearly display the lesion metastasis of ovarian epithelial cancer patients with high soft tissue resolution. © 2021 The Author(s)Item Ultrasonic diagnosis of functional dyspepsia under adaptive partial differential denoising model and its relationship with Helicobacter pylori infection(Elsevier B.V., 2021-07) Liu, Changming; Tan, Zhi; Yang, Jianqing; Zhang, Chan; Xu, Hongwei; Okasha, Ahmad; Arbab, Ahmed Mohamed HamadThis work was to study the relationship between functional dyspepsia (FD) and Helicobacter pylori (HP) based on the adaptive partial differential denoising model. The adaptive partial differential denoising model was adopted to analyze the ultrasound images, which was then utilized in the ultrasound diagnosis of FD after its related performance was evaluated. Fifty patients with gastrointestinal disease who came to our hospital were recruited and rolled into group A (HP positive) and group B (HP negative), and the clinical symptoms of the two groups were compared. The results showed that the maximum peak signal-to-noise ratio (PSNR) and the running time based on the adaptive partial differential denoising model were both superior to the total variation image restoration (TV) model, with statistical differences (P < 0.05). The PSNR of the partial differential denoising model was superior to that of the TV model, and the mean square error (MSE) was inferior to that of the TV model, both with considerable differences (P < 0.05). For the ultrasound manifestations of the stomach of FD patients, the number of dysfunctional patients in gastric emptying dyskinesias was the largest, accounting for 38%. The overall symptoms of FD patients and HP-infected patients were more severe than those of uninfected patients, especially the symptom of upper abdominal pain, and that in group A was remarkably higher than that of group B (P < 0.05). In summary, the quality of ultrasound images based on the adaptive partial differential denoising model was ideal, and the edge retention capability was strong. In addition, HP was an important factor in causing FD, among which upper abdominal pain was the most obvious. © 2021 The Authors