syedzayyan/paper_mill_benchmark huggingface dataset:
Fully Convolutional Neural Network Deep Learning Model Fully in Patients with Type 2 Diabetes Complicated with Peripheral Neuropathy by High-Frequency Ultrasound Image

This study was aimed at exploring the diagnostic value of high-frequency ultrasound imaging based on a fully convolutional neural network (fcn) for peripheral neuropathy in patients with type 2 diabetes (t2d).A total of 70 patients with t2d mellitus were selected and divided into a lesion group ( n = 31 ) and a nonlesion group ( n = 39 ) according to the type of peripheral neuropathy.In addition, 30 healthy people were used as controls.Hypervoxel-based and fcn-based high-frequency ultrasound images were used to examine the three groups of patients to evaluate their diagnostic performance and to compare the changes of peripheral nerves and ultrasound characteristics.The results showed that the dice coefficient (92.7) and mean intersection over union (m iou) (82.6) of the proposed algorithm after image segmentation were the largest, and the hausdorff distance (7.6) and absolute volume difference (avd) (8.9) were the smallest.The high-frequency ultrasound based on the segmentation algorithm showed higher diagnostic accuracy (94.0% vs.86.0%), sensitivity (87.1% vs.67.7%), specificity (97.1% vs.94.2%), positive predictive value (93.1% vs.86.7%), and negative predictive value (94.4% vs.84.0%) ( p &lt; 0.05 ).There were significant differences in the detection values of the three major nerve segments of the upper limbs in the control group, the lesion group, and the nonlesion group ( p &lt; 0.05 ).Compared with the nonlesion group, the patients in the lesion group were more likely to have reduced nerve bundle echo, blurred reticular structure, thickened epineurium, and unclear borders of adjacent tissues ( p &lt; 0.05 ).In summary, the high-frequency ultrasound processed by the algorithm proposed in this study showed a high diagnostic value for peripheral neuropathy in t2d patients, and high-frequency ultrasound can be used to evaluate the morphological changes of peripheral nerves in t2d patients.

Journal: Computational and Mathematical Methods in Medicine (2022)
Publication types: Research Article;
Expression of GMFB in High-Grade Cervical Intraepithelial Neoplasia and Its Role in Cervical Cancer

Cervical intraepithelial neoplasia (cin) is a collective term for specific precancerous lesions associated with cervical cancer (cc).Although it has been affirmed with slow development of several levels of cellular changes, the existing poor prognosis calls for an urgent need to diagnose cin at early stage and be aware of markers related to its pathogenesis and prognosis.We explored the expression level of a newly marker gmfb and its regulatory effect on cin and cc.Patient samples and cell models were included.Bioinformatic studies were taken to predict its binding to mi r-143-3p, mi r-26b-5p, mi r-191-5p, and mi r-223-3p.Luciferase reporter and rna pull-down assays were used to validate the prediction.Edu assay and flow cytometry were used to measure the regulation of gmfb on proliferation and apoptosis of cc cells.Q rt-pcr was used for m rna expression level detection.The results showed that gmfb was targeted by mi r-143-3p, mi r-26b-5p, mi r-191-5p, and mi r-223-3p.It had elevated expression in both cin and cc samples.Gmfb had highly prognostic value for cin, and lymph node metastasis of cc was much associated with high gmfb expression level.Besides, silencing of gmfb inhibited cc cell proliferation and elevated cell apoptosis.In conclusion, we determined that gmfb has regulatory effect on high grade cin and cc, which could lighten a novel way in exploring their pathogenesis and improving accuracy of prognosis.

Journal: Computational and Mathematical Methods in Medicine (2022)
Publication types: Research Article;
Evaluation of Pelvic Floor Dysfunction by Pelvic Floor Ultrasonography after Total Hysterectomy for Cervical Cancer

To study the value of pelvic floor ultrasonography in evaluating pelvic floor dysfunction (pfd) after total hysterectomy for cervical cancer.Methods.All the enrolled patients were given 4d pelvic floor ultrasound examination before and after surgery.The results of ultrasonic examination and the parameters of four-dimensional ultrasonic examination before and after surgery were analyzed, and the quality of life of the patients before and after surgery was evaluated.Results.Postoperatively, the posterior angle of bladder and urethra, the rotation angle of urethra, the decreased value of bladder neck, and the distance between bladder neck and pubic symphysis were ( 122.60 ± 9.53 )°, ( 136.47 ± 14.67 )°, ( 58.90 ± 18.19 )°, ( 18.14 ± 7.32 ) mm, and ( 2.76 ± 0.46 ) cm, significantly greater than the preoperative ( 89.90 ± 9.59 )°, ( 107.30 ± 9.96 )°, ( 27.59 ± 10.96 )°, ( 13.27 ± 5.69 ) mm, and ( 2.24 ± 0.21 ) cm ( p &lt; 0.05 ).Postoperative detrusor muscle thickness, bladder neck movement, residual urine volume, and bladder rotation angle ( 4.48 ± 0.82 ) mm, ( 0.64 ± 0.17 ) cm, ( 12.82 ± 2.69 ) ml, ( 12.11 ± 2.43 )° were significantly higher than those of preoperative ( 3.70 ± 0.64 ) mm, ( 0.43 ± 0.18 ) cm, ( 4.83 ± 1.07 ) ml, ( 4.30 − 1.19 )° ( p &lt; 0.05 ).The scores of emotional function, psychological function, social function, and physiological function were ( 2.35 ± 0.75 ) points, ( 2.45 ± 0.66 ) points, ( 2.30 ± 0.77 ) points, and ( 2.19 ± 0.71 ) points, significantly higher than those of ( 1.01 ± 0.50 ) points, ( 1.25 ± 0.54 ) points, and ( 1.00 ± 0.57 ) points before surgery, ( 1.05 ± 0.46 ) ( p &lt; 0.05 ).Conclusions.The application of pelvic floor ultrasonography to detect pelvic floor dysfunction after total hysterectomy can clearly display the anatomical structure of the pelvic floor, which is conducive to disease prevention and treatment.Four-dimensional pelvic floor ultrasound can clearly show the postoperative pelvic floor function, which is worthy of clinical promotion and reference.

Journal: Scanning (2022)
Publication types: Research Article;
Endovascular Intervention in a Narrowing Vessel of the Left Vertebral Artery with Bilateral Common Carotid Artery Occlusion and Aneurysm Rupture and Hemorrhage in the V4 Segment of the Right Vertebral Artery

In this study, a case of bilateral common carotid artery occlusion and aneurysm in the v4 segment of the right vertebral artery with constriction of the left vertebral artery is presented.By improving digital subtraction angiography, an elderly female patient with subarachnoid haemorrhage (sah) was diagnosed with a v4 segment of right vertebral artery aneurysm, a microaneurysm at the beginning of basilar aneurysms, bilateral common carotid artery occlusion, and narrowing vessel of left vertebral artery (dsa).Through the compensation of the basilar artery, the bilateral vertebral arteries provide intracranial and extracranial blood.Because the vertebral artery is narrowed, the right vertebral artery has priority in intracranial and extracranial blood delivery.Many members of the patient’s immediate family have vasculitis, which has yet to be proven by appropriate laboratory testing but is thought to be the major cause of big artery occlusion.After cerebral angiography, the major source of this subarachnoid haemorrhage was determined to be a v4 segment of right vertebral artery aneurysm.Endovascular stent-assisted coil embolization was used to treat a v4 section of the right vertebral artery aneurysm.Because the basilar aneurysm was distal to the artery, interventional embolization was difficult to do, and it was not the major cause of the subarachnoid haemorrhage, the patient was advised to have follow-up surveillance, and she recovered well following the procedure.The combination of endovascular intervention of bilateral common carotid artery blockage and v4 segment of right vertebral artery aneurysm yielded excellent clinical outcomes in this instance.Endovascular treatment of a bilateral common carotid artery blockage paired with a v4 segment of a right vertebral artery aneurysm yielded excellent clinical outcomes in this patient, although long-term follow-up is necessary.

Journal: Computational Intelligence and Neuroscience (2022)
Publication types: Case Report;
Electroacupuncture Treats Myocardial Infarction by Influencing the Regulation of Substance P in the Neurovascular to Modulate PGI2/TXA2 Metabolic Homeostasis via PI3K/AKT Pathway: A Bioinformatics-Based Multiomics and Experimental Study

Acute myocardial infarction (ami) is the most severe form of coronary heart disease caused by ischemia and hypoxia.The study is aimed at investigating the role of neuropeptides and the mechanism of electroacupuncture (ea) in acute myocardial infarction (ami) treatment.Compared with the normal population, a significant increase in substance p (sp) was observed in the serum of patients with ami.Pgi2 expression was increased in the sp-treated ami mouse model, and txa2 expression was decreased.And pi3k pathway-related genes, including pik3ca, akt, and mtor, were upregulated in myocardial tissue of sp-treated ami patients.Human cardiomyocyte cell lines (hcm) treated with sp increased m rna and protein expression of pi3k pathway-related genes (pik3ca, pik3cb, akt, and mtor).Compared to mi control and ea-treated mi rat models, myd88, mtor, akt1, sp, and irak1 were differentially expressed, consistent with in vivo and in vitro studies.Ea treatment significantly enriched pi3k/akt signaling pathway genes within mi-associated differentially expressed genes (degs) according to kyoto encyclopedia of genes and genomes (kegg).Furthermore, it was confirmed by molecular docking analysis that pik3ca, akt1, and m tor form stable dockings with neuropeptide sp.Pi3k/akt pathway activity may be affected directly or indirectly by ea via sp, which corrects the pgi2/txa2 metabolic imbalance in ami.Mi treatment is now better understood as a result of this finding.

Journal: Computational and Mathematical Methods in Medicine (2022)
Publication types: Research Article;
Efficient Liver Segmentation from Computed Tomography Images Using Deep Learning

Segmentation of a liver in computed tomography (ct) images is an important step toward quantitative biomarkers for a computer-aided decision support system and precise medical diagnosis.To overcome the difficulties that come across the liver segmentation that are affected by fuzzy boundaries, stacked autoencoder (sae) is applied to learn the most discriminative features of the liver among other tissues in abdominal images.In this paper, we propose a patch-based deep learning method for the segmentation of a liver from ct images using sae.Unlike the traditional machine learning methods, instead of anticipating pixel by pixel learning, our algorithm utilizes the patches to learn the representations and identify the liver area.We preprocessed the whole dataset to get the enhanced images and converted each image into many overlapping patches.These patches are given as input to sae for unsupervised feature learning.Finally, the learned features with labels of the images are fine tuned, and the classification is performed to develop the probability map in a supervised way.Experimental results demonstrate that our proposed algorithm shows satisfactory results on test images.Our method achieved a 96.47% dice similarity coefficient (dsc), which is better than other methods in the same domain.

Journal: Computational Intelligence and Neuroscience (2022)
Publication types: Research Article;
Efficacy of the Integration of Traditional Chinese Medicine and Western Medicine in Coronary Heart Disease Comorbid with Anxiety and Depression: A Meta-Analysis

The purpose of this study is to assess the efficacy and safety of the integration of western medicine with traditional chinese medicine (tcm) in patients with coronary heart disease (chd) which is comorbid with anxiety and depression.Methods.Randomized controlled trials (rcts) were searched in databases such as vip, wan fang, cnki, embase, pub med, and cochrane library from the inception of databases to november 2021.Rcts on treating chd comorbid with anxiety and depression with the integration of tcm and western medicine were retrieved, and publications were screened according to the screening criteria.Software rev man 5.4 was utilized to analyze related indicators.Results.Thirteen eligible studies were included in this meta-analysis.They involved a total of 1460 cases, including 747 cases in the tcm and western medicine group, and 713 cases in the control group.Meta-analysis results illustrated that the difference in the relief of angina pectoris in treating chd comorbid with anxiety and depression with the integration of tcm and western medicine was statistically significant (or = 3.97, 95% ci [2.47, 6.39], p &lt; 0.05 ), and hamd score, hama score, and clinical effective rate were statistically significant (md = −4.11, 95% ci [−5.10, 3.12]), (smd = 1.88, 95% ci [2.53, 1.24]), (or = 9.71, 95% ci [4.65, 20.28]).Conclusion.By combining tcm and western medicine, the treatment of angina pectoris and chd comorbid with anxiety and depression can alleviate anxiety and depression and can enhance patients’ quality of life.

Journal: Evidence-Based Complementary and Alternative Medicine (2022)
Publication types: Meta-Analysis;
Efficacy of Oxymatrine Plus Antiviral in the Treatment of Sepsis and Its Effect on the Levels of Endotoxin and Inflammatory Factors

To assess the clinical efficacy of oxymatrine plus antiviral therapy in the treatment of sepsis and its effects on the levels of endotoxin and inflammatory factors.Methodology.90 patients with sepsis were selected for retrospective analysis and were assigned to receive either conventional treatment (control group) or oxymatrine plus antiviral treatment (study group).The clinical endpoint was treatment efficacy.Results.There were no significant differences in baseline patient profile between the two groups ( p &gt; 0.05 ).The study group showed a higher efficiency versus the control group ( p &lt; 0.05 ).Patients in the study group had a significantly shorter mechanical ventilation duration and icu stay versus those in the control group ( p &lt; 0.05 ).Both groups had reduced acute physiology and chronic health evaluation ii (apache ii) score, marshall score, levels of endotoxin, tumor necrosis factor-α (tnf-α), interleukin (il)-6, il-8, c-reactive protein (crp), and procalcitonin (pct) after treatment, with lower results in the study group versus the control group ( p &lt; 0.05 ).Conclusion.Oxymatrine plus antiviral therapy effectively improves clinical efficacy, reduces the levels of endotoxin and inflammatory factors, protects organ function, and boosts recovery.Further clinical trials are, however, required prior to general application in clinical practice.

Journal: Evidence-Based Complementary and Alternative Medicine (2022)
Publication types: Clinical Study;
Efficacy of Oxidized Regenerated Cellulose/Collagen Dressing for Management of Skin Wounds: A Systematic Review and Meta-Analysis

The purpose of this study was to evaluate the wound healing efficacy of oxidized regenerated cellulose (orc)/collagen dressing and orc/collagen/silver-orc dressings compared to standard of care or control in treatment of chronic skin wounds such as diabetic foot ulcers (dfus), venous leg ulcers (vlus), and pressure injuries sore ulcers (pisus).Methods.An electronic search was carried out in four popular databases pub med, scopus, embase, and central to identify thirteen included studies, comparing the clinical efficacy of orc/collagen dressings when compared to control in management of chronic skin wounds, especially dfus, vlus, and pisus, and skin graft donor site wounds.Results.Consolidated data from thirteen comparative clinical studies undertaken for management of dfus, vlus, and pisus showed favorable outcomes towards use of orc/collagen compared to other traditional and hydrocolloid foam dressings in terms of wound healing rate ( p = 0.02 ) and percentage wound relative reduction ( p = 0.003 ).The time taken to achieve complete wound healing in the included studies did not show any statistical significant difference ( p = 0.24 ).There was no significant difference in adverse events between orc/collagen-treated group and comparative group ( p = 0.19 ).Conclusion.Orc/collagen wound dressings are beneficial in terms of improved wound healing rate and percentage wound relative reduction compared to already existing traditional standard of care with non-mmp, inhibiting biomaterials such as moistened gauze, autologous growth factors, hydrocolloid foam dressings, or ovine extracellular matrix.

Journal: Evidence-Based Complementary and Alternative Medicine (2021)
Publication types: Meta-Analysis;
Efficacy of Methylprednisolone plus Azithromycin in the Treatment of RMPP and Its Effect on the Changes of T Lymphocyte Subsets

To explore and analyze the efficacy of methylprednisolone combined with azithromycin in the treatment of refractory mycoplasma pneumoniae pneumonia (rmpp) and its effect on the changes of t lymphocyte subsets.Methods.A total of 120 children with rmpp admitted to our hospital from september 2016 to september 2020 were randomized at a ratio of 1 : 1 into the control group (conventional treatment) and the observation group (methylprednisolone plus conventional treatment).Outcome measures included clinical efficacy, symptoms mitigation, changes in inflammatory factors, t lymphocyte subsets, and adverse reactions.Results.Compared with the control group, the total clinical effective rate of the observation group was higher ( p &lt; 0.05 ).The disappearance time of cough, wheezing, pulmonary rales, and x-ray lung shadows in the observation group was significantly shorter than that in the control group after treatment ( p &lt; 0.05 ).The serum c-reactive protein (crp), tumor necrosis factor-alpha (tnf-α), and interleukin (il)-8 levels of the observation group after treatment were significantly lower than those of the control group ( p &lt; 0.05 ).Compared with the control group, the observation group had a higher cd4+ value, lower cd8+ value, and higher cd4+/cd8+ value after treatment (all p &lt; 0.05 ).There was no significant difference in adverse reactions between the two groups during treatment ( p &gt; 0.05 ).Conclusion.Methylprednisolone plus azithromycin might serve as an alternative in the treatment of rmpp.It facilitates the mitigation of clinical symptoms and signs and regulates the level of inflammatory factors and cellular immune dysfunction, with good effectiveness and a high safety profile.

Journal: Evidence-Based Complementary and Alternative Medicine (2022)
Publication types: Research Article;
Machine Learning Model and Statistical Methods for COVID-19 Evolution Prediction

In this paper, we discuss the statistical processing of covid‐19 data.Covid‐19 was initially recognized in wuhan, china, on december 31, 2019.It then spread to other parts of the world, so it became known as a pandemic.It has received interest due to its sudden emergence as a deadly human pathogen.The effect is not only confined to morbidity and mortality but also extends to social and economic consequences.Statistical analysis is required to measure the damage done to humans and take the necessary measures to limit this damage.The objective of the work was to examine the effects of various factors on the deaths due to covid‐19.To achieve this goal, we applied a logistic regression (lr) model, as a statistical method, and a decision tree model, as a machine learning method, to model the deaths due to covid‐19 in france, germany, italy, and spain.The predictive abilities of these two models were compared.The overall accuracies of the decision tree and lr were 94.1% and 93.9%, respectively.It was also observed that countries with high population densities tended to have more cases than those with smaller population densities.There were more female deaths than male deaths in the united kingdom, and more deaths occurred for those aged 65 years and older.The data were collected from the world health organization’s official website from january 11, 2020, to may 29, 2020.The results obtained were in agreement with the previous results obtained by others.

Journal: Wireless Communications and Mobile Computing (2021)
Publication types: Research Article;
Medical Image Captioning Using Optimized Deep Learning Model

Medical image captioning provides the visual information of medical images in the form of natural language.It requires an efficient approach to understand and evaluate the similarity between visual and textual elements and to generate a sequence of output words.A novel show, attend, and tell model (atm) is implemented, which considers a visual attention approach using an encoder-decoder model.But the show, attend, and tell model is sensitive to its initial parameters.Therefore, a strength pareto evolutionary algorithm-ii (spea-ii) is utilized to optimize the initial parameters of the atm.Finally, experiments are considered using the benchmark data sets and competitive medical image captioning techniques.Performance analysis shows that the spea-ii-based atm performs significantly better as compared to the existing models.

Journal: Computational Intelligence and Neuroscience (2022)
Publication types: Research Article;
Gene Position Index Mutation Detection Algorithm Based on Feedback Fast Learning Neural Network

In the detection of genome variation, the research on the internal correlation of reference genome is deepening; the detection of variation in genome sequence has become the focus of research, and it has also become an effective path to find new genes and new functional proteins.The targeted sequencing sequence is used to sequence the exon region of a specific gene in cancer gene detection, and the sequencing depth is relatively large.Traditional alignment algorithms will lose some sequences, which will lead to inaccurate mutation detection.This paper proposes a mutation detection algorithm based on feedback fast learning neural network position index.By establishing a position index relationship for acgt in the dna sequence, the subsequence is decomposed into the position relationship of different subsequences corresponding to the main sequence.The positional relationship of the subsequence in the main sequence is determined by the positional relationship.Analyzing snp and in del mutations, even structural mutations, through the position correlation of sequences has the advantages of high precision and easy implementation by personal computers.The feedback fast learning neural network is used to verify whether there is a linear relationship between two or more positions.Experimental results show that the mutation points detected by position index are more than those detected by bcftools, freebye, vanscan2, and gatk.

Journal: Computational Intelligence and Neuroscience (2021)
Publication types: Research Article;