syedzayyan/paper_mill_benchmark huggingface dataset:
Effect Comparison of Assisted Surgery Simulated by Preoperative 3D Reconstruction and Minimally Invasive Surgery with the Assist of Knee Arthroscopy in the Treatment of Tibial Plateau Fracture under the Background of Intelligent Medicine

To explore the effect comparison of the assisted surgery simulated by preoperative 3d reconstruction and the minimally invasive surgery with the assist of knee arthroscopy in the treatment of tibial plateau fracture (tpf) under the background of intelligent medicine.Methods.100 patients with tpf admitted to our hospital from january 2021 to january 2022 were selected as the study subjects.According to the order of admission, the patients were divided into the simulation group with 3d reconstruction (n = 50) and the auxiliary group with knee arthroscopy (n = 50), and the clinical indicators were compared between the two groups.Results.There was no significant difference in any other clinical treatment indexes between the two groups except the surgery time ( p &gt; 0.05 ), and there was no significant difference in knee flexion ability, walking ability, and rasmussen scores between the two groups after treatment ( p &gt; 0.05 ).However, compared with the auxiliary group with knee arthroscopy, the mean posterior slope angle and varus angle of the patients were significantly higher ( p &lt; 0.001 ), and the total incidence of complications was significantly lower ( p &lt; 0.05 ).Conclusion.Based on the analysis under the background of intelligent medicine, it is found that the assisted surgery simulated by preoperative 3d reconstruction has a better effect and a higher safety, but they have the similar effects on improving the knee joint function of patients.

Journal: Computational Intelligence and Neuroscience (2022)
Publication types: Clinical Study;
EEG-Based Epileptic Seizure Detection via Machine/Deep Learning Approaches: A Systematic Review

Epileptic seizure is one of the most chronic neurological diseases that instantaneously disrupts the lifestyle of affected individuals.Toward developing novel and efficient technology for epileptic seizure management, recent diagnostic approaches have focused on developing machine/deep learning model (ml/dl)-based electroencephalogram (eeg) methods.Importantly, eeg’s noninvasiveness and ability to offer repeated patterns of epileptic-related electrophysiological information have motivated the development of varied ml/dl algorithms for epileptic seizure diagnosis in the recent years.However, eeg’s low amplitude and nonstationary characteristics make it difficult for existing ml/dl models to achieve a consistent and satisfactory diagnosis outcome, especially in clinical settings, where environmental factors could hardly be avoided.Though several recent works have explored the use of eeg-based ml/dl methods and statistical feature for seizure diagnosis, it is unclear what the advantages and limitations of these works are, which might preclude the advancement of research and development in the field of epileptic seizure diagnosis and appropriate criteria for selecting ml/dl models and statistical feature extraction methods for eeg-based epileptic seizure diagnosis.Therefore, this paper attempts to bridge this research gap by conducting an extensive systematic review on the recent developments of eeg-based ml/dl technologies for epileptic seizure diagnosis.In the review, current development in seizure diagnosis, various statistical feature extraction methods, ml/dl models, their performances, limitations, and core challenges as applied in eeg-based epileptic seizure diagnosis were meticulously reviewed and compared.In addition, proper criteria for selecting appropriate and efficient feature extraction techniques and ml/dl models for epileptic seizure diagnosis were also discussed.Findings from this study will aid researchers in deciding the most efficient ml/dl models with optimal feature extraction methods to improve the performance of eeg-based epileptic seizure detection.

Journal: Computational Intelligence and Neuroscience (2022)
Publication types: Review Article;
EDTA Combined with C-Pilot Files and Microultrasound for Root Canal Calcification: Dredging Effect and Safety Analysis

This paper discussed the dredging effect and safety of ethylenediaminetetraacetic acid (edta) combined with c-pilot files and microultrasound (m us) on root canal calcification.Methods.From october 2021 to january 2022, 132 patients with calcified root canals treated in our hospital were selected as the research subjects.Among them, 64 cases who received edta combined with c-pilot files and m us plus ultrasonic instruments to dredge calcified root canals were regarded as the research group (rg), and another 68 cases given ultrasonic instruments plus c-pilot files were regarded as the control group (cg).The root canal dredging time was recorded, and the dredging success rate and total success rate of different tooth positions and calcification sites were compared between groups.The clinical efficacy was assessed 6 months after treatment.Pain severity was evaluated by the pain intensity numerical rating scale (pi-nrs) before ( t 0 ), during ( t 1 ), and after treatment ( t 2 ).Finally, the incidence of adverse reactions within one week after treatment was counted.Results.Rg was observed with statistically higher success rates of root canal dredging in different tooth positions and calcified sites than cg ( p &lt; 0.05 ).Besides, the total effective rate of treatment was 92.19% in rg, which was also higher compared with cg, while the root canal dredging time in rg was shorter than that in cg ( p &lt; 0.05 ).Increased nrs scores were found in both groups at t 1 , and the score in rg was significantly lower compared with that in cg.At t 2 , both groups showed a lower pi-nrs score than t 1 but higher than t 0 , and the score at t 2 was also lower in rg as compared to cg ( p &lt; 0.05 ).Moreover, the reduced incidence of adverse reactions were observed in rg compared with cg ( p &lt; 0.05 ).Conclusions.Edta combined with c-pilot files and m us can effectively improve the dredging success rate of root canals obstructed by calcification, shorten the dredging time, and improve patient comfort, which is an effective method for clinical dredging of calcification obstructed root canals.

Journal: Computational and Mathematical Methods in Medicine (2022)
Publication types: Clinical Study;
Edge-Enabled Heart Rate Estimation from Multisensor PPG Signals

Heart rate (hr) estimation from multisensor ppg signals suffers from the dilemma of inconsistent computation results, due to the prevalence of bio‐artifacts (bas).Furthermore, advancements in edge computing have shown promising results from capturing and processing diversified types of sensing signals using the devices of internet of medical things (io mt).In this paper, an edge‐enabled method is proposed to estimate hrs accurately and with low latency from multisensor ppg signals captured by bilateral io mt devices.First, we design a real‐world edge network with several resource‐constrained devices, divided into collection edge nodes and computing edge nodes.Second, a self‐iteration rr interval calculation method, at the collection edge nodes, is proposed leveraging the inherent frequency spectrum feature of ppg signals and preliminarily eliminating the influence of bas on hr estimation.Meanwhile, this part also reduces the volume of sent data from io mt devices to compute edge nodes.Afterward, at the computing edge nodes, a heart rate pool with an unsupervised abnormal detection method is proposed to estimate the average hr.Experimental results show that the proposed method outperforms traditional approaches which rely on a single ppg signal, attaining better results in terms of the consistency and accuracy for hr estimation.Furthermore, at the designed edge network, our proposed method processes a 30 s ppg signal to obtain an hr, consuming only 4.24 s of computation time.Hence, the proposed method is of significant value for the low‐latency applications in the field of io mt healthcare and fitness management.

Journal: Journal of Healthcare Engineering (2023)
Publication types: Research Article;
Early Detection and Diagnosis of Chronic Kidney Disease Based on Selected Predominant Features

In numerous perilous cases, a quick medical decision is needed for the early detection of chronic diseases to avoid austere consequences that may be fatal.Chronic kidney disease (ckd) is a prevalent disease that presents a variety of challenges, including soaring costs for intervention, urgency, and, more importantly, difficulty in early detection of the disease.The current study carries out a prediction-based method that helps in detecting and diagnosing ckd patients which enables a fast and accurate decision-making process at the early stage.A combination of preprocessing and feature selection methods was developed; additionally, several prediction models, such as k-nearest neighbor (knn), support vector machine (svm), random forest (rf), and bagging, were trained based on the processed dataset.The performance evaluation shows higher reliability of all models in terms of accuracy, precision, sensitivity, f-measure, specificity, and area under the curve (auc) score.Specifically, knn outperformed with an accuracy of 99.50%, sensitivity of 99.2%, precision of 100%, specificity of 98.7%, and f-measure and auc score of 99.6%.The experimental results of knn show the best fitted model compared to the existing state-of-the-art methods.Moreover, the reduced feature set proves that just a few clinical tests are enough to detect ckd, resulting in diagnosis cost reduction.

Journal: Journal of Healthcare Engineering (2023)
Publication types: Research Article;
Dynamic Incision under Nasal Endoscope and Low-Temperature Plasma Radiofrequency Ablation for Nasal Inverted Papilloma: An Analysis of Differences in Efficacy and the Destructive Effect on Immune Function

And objective.This study sets out to provide reference for the clinical treatment and provide reference for clinical practice by comparing the therapeutic effects of dynamical-system surgery under nasal endoscope and low-temperature plasma radiofrequency ablation (ltpra).methods.Nip patients ( n = 106 ) admitted between january 2020 and march 2021 were selected and grouped as follows according to the random number table method: a dissection group treated with dynamical-system surgery under nasal endoscope and an ablation group treated with ltpra.The clinical curative effects of the two procedures were compared, and the related indexes (operation time (ot), intraoperative blood loss (ibl), and length of stay (los)) and postoperative adverse reactions (ars) were counted.In addition, fasting venous blood samples were collected before treatment (t0), as well as 3 (t1) and 7 days after treatment (t2) to detect inflammatory factors (ifs; c-reactive protein (crp), interleukin-6 (il-6), and tumor necrosis factor-α (tnf-α)) and t lymphocyte subsets (cd3+, cd4+, and cd8+).Finally, all patients received a one-year follow-up to compare the differences in prognostic survival rate and disease recurrence rate between groups.Results.The ablation group has a similar los to the dissection group ( p &gt; 0.05 ), but lower ot and ibl.No marked difference was observed between groups in terms of the total effective rate ( p &gt; 0.05 ), but the adverse reaction rate was higher in the dissection group compared with the ablation group ( p &lt; 0.05 ).Compared with t0, elevated crp, il-6, tnf-α, and cd3+ were observed in both cohorts at t1, with lower levels in the ablation group as compared to the dissection group, while cd4+ and cd8+ decreased in both cohorts and were higher in the ablation group ( p &lt; 0.05 ).Meanwhile, the levels of crp, il-6, tnf-α, and cd3+ in both groups were lower at t2 compared to t1, whereas those of cd4+ and cd8+ in both groups were higher at t2 compared to t1 ( p &lt; 0.05 ).As indicated by the statistics on prognostic follow-up, the two cohorts of patients showed no evident difference in the 1-year survival rate and disease recurrence rate ( p &gt; 0.05 ).Conclusions.Both dynamical-system surgery under nasal endoscope and ltpra have good therapeutic effects on nip, but the latter is safer and can effectively reduce the postoperative inflammatory reaction of patients and maintain the stability of immune function, which has higher clinical application value.

Journal: Computational and Mathematical Methods in Medicine (2022)
Publication types: Clinical Study;
Double Pump Sequential Constant Citrate Anticoagulation in General Hemodialysis

To investigate the safety and efficacy of single-pump and double-pump sequential anticoagulation in general hemodialysis under the condition of constant citrate.Methods.A total of 32 patients with end-stage renal disease complicated with hemorrhage admitted by zigong third people’s hospital from december 2019 to december 2020 were collected.Randomly divided into single pump group ( n = 17 ) and double pump group ( n = 15 ).The coagulation of dialyzer and intravenous pot was compared between the two groups.Then, the changes of serum calcium before treatment, after 2 h treatment, and after the completion of the treatment, and the front of the blood pump and intravenous pot, as well as behind the intravenous pot were observed and recorded in the two groups.Then, single-pool clearance of urea/volume (sp kt/v) was compared between the two groups.Results.There were few differences in dialyzer coagulation between the single pump group and double pump group.However, the single pump group had a significant increase in the number of intravenous pot coagulations than the double pump group.At 2 h for dialysis, the serum calcium level behind the intravenous pot in the double pump group was notably lower than that in the single pump group.And after the completion of dialysis, the serum calcium returned to pretreatment level.The kt/v in both groups reached the normal standard without statistically significant difference.And there were no adverse reactions in the patients of both groups after dialysis.Conclusion.For hemodialysis patients with bleeding, dual-pump segmented anticoagulation is superior to single-pump anticoagulation in intravenous pot anticoagulation.Double pump segmented sequential constant citrate anticoagulation can be utilized as a new simple and effective anticoagulation method for clinical hemodialysis.

Journal: Applied Bionics and Biomechanics (2022)
Publication types: Research Article;
Difficulties in the Treatment of Diabetic Foot and Research Progress of Combination of Traditional Chinese and Western Medicine

A diabetic foot is any disorder directly attributable to peripheral arterial disease (pad) and/or the sensory neuropathies influencing the diabetic foot; it is a long-term (or “chronic”) complication of diabetes.Generally, it is a permanent (or “chronic”) comorbidity of diabetes.The swallowing of peripheral neuropathy and peripheral vascular disease leads to damage to the soft tissue, bone, and joint system of the foot.In addition, diabetic feet are also susceptible to infection, which can lead to lameness and even amputation.The management of the diabetic foot can be both challenging and chronic; it may comprise orthoses, surgery, antibacterial medication, and topical dressings.Traditional chinese medicine (tcm) has a variety of methods for the treatment of diabetic foot with obvious advantages, which can be divided into internal treatment and external treatment of tcm.These treatments include external foot bath, fumigation and washing stains, internal administration of traditional chinese medicine, syndrome differentiation and staging treatment, empirical prescription, self-made prescription, internal use of proprietary chinese medicine, massage, acupuncture, and paste powder application, which have significant value in the prevention and treatment of diabetic foot.Some studies have shown that modern medicine combined with herbal therapy can significantly improve the prognosis of diabetic foot.Therefore, this study summarized the difficulties in the therapeutic approaches to diabetic foot and the recent research progress in combining chinese and western medicine in the treatment of diabetic foot.

Journal: Computational and Mathematical Methods in Medicine (2022)
Publication types: Research Article;
Diagnostic Value of SonoVue Contrast-Enhanced Ultrasonography in Nipple Discharge Based on Artificial Intelligence

This paper aims to explore the application value of sono vue contrast-enhanced ultrasonography based on deep unsupervised learning (dns) in the diagnosis of nipple discharge.In this paper, a new model (odns) is proposed based on the unsupervised learning model and stack self-coding network.The ultrasonic images of 1,725 patients with breast lesions in the shared database are used as the test data of the model.The differences in accuracy (acc), recall (re), sensitivity (sen), and running time between the two models before and after optimization and other algorithms are compared.A total of 48 female patients with nipple discharge are enrolled.The differences in se, specificity (sp), positive predictive value (ppv), and negative predictive value (npv) of conventional ultrasound and contrast-enhanced ultrasonography are analyzed based on pathological examination results.The results showed that when the number of network layers is 5, the classification accuracies of dns and odns model data reached the highest values, which were 91.45% and 98.64%, respectively.

Journal: Journal of Healthcare Engineering (2021)
Publication types: Research Article;
Diagnostic Predictive Value of Tryptase, Serum Amyloid A and Lipoprotein-Associated Phospholipase A2 Biomarker Groups for Large Atherosclerotic Cerebral Infarction

There has been a gradual trend towards younger ageing of acute cerebral infarction in recent years.Atherosclerotic plaque rupture followed by dislodgement of emboli and resulting arterial embolism is an important mechanism for the development of acute cerebral infarction.Traditional independent risk factors for cerebral infarction have received attention from clinicians, but the risk factors for large artery atherosclerotic cerebral infarction are still unclear.Various blood biomarkers have an important role in the early diagnosis of large artery atherosclerotic cerebral infarction.Objective.To assess the diagnostic predictive value of a group of biomarkers for large artery atherosclerotic cerebral infarction.Methods.Lipoprotein-associated phospholipase a2 (lp-pla2), trypsin-like protein (tps), serum amyloid a (saa), and supersensitive c-reactive protein (hs-crp) levels were measured in the case group (30 cases) and control group (54 cases), respectively.Results.The differences in the general data between the two groups were not statistically significant ( p &gt; 0.05 ).Logistic regression and roc curve analysis showed that lp-pla2, tps, and saa were positively associated with the diagnosis of large atherosclerotic cerebral infarction ( p &lt; 0.05 ).The area under the roc curve of the multivariate model for the biomarker group reached 0.995.Conclusion.Biomarkers are closely associated with the occurrence of large atherosclerotic cerebral infarction and can be used as clinical adjuncts for diagnosis and assessment of prognosis.

Journal: Emergency Medicine International (2022)
Publication types: Research Article;
Diagnostic Performance of Diffusion Kurtosis Imaging for Benign and Malignant Breast Lesions: A Systematic Review and Meta-Analysis

Magnetic resonance imaging (mri) has a high sensitivity for differentiating between malignant and non-malignant breast lesions but is sometimes limited due to its low specificity.Here, we performed a meta-analysis to evaluate the diagnostic performance of mean kurtosis (mk) and mean diffusivity (md) values in magnetic resonance diffusion kurtosis imaging (dki) for benign and malignant breast lesions.Methods.Original articles on relevant topics, published from 2010 to 2019, in pub med, embase, and wan fang databases were systematically reviewed.According to the purpose of the study and the characteristics of dki reported, the diagnostic performances of mk and md were evaluated, and meta-regression was conducted to explore the source of heterogeneity.Results.Fourteen studies involving 1,099 (451 benign and 648 malignant) lesions were analyzed.The pooled sensitivity, pooled specificity, positive likelihood ratio, and negative likelihood ratio for md were 0.84 (95% confidence interval (ci), 0.81-0.87), 0.83 (95% ci, 0.79-0.86), 4.44 (95% ci, 3.54-5.57), and 0.18 (95% ci, 0.13-0.26), while those for mk were 0.89 (95% ci, 0.86-0.91), 0.86 (95% ci, 0.82-0.89), 5.72 (95% ci, 4.26-7.69), and 0.13 (95% ci, 0.09-0.19), respectively.The overall area under the curve (auc) was 0.91 for md and 0.95 for mk.Conclusions.Analysis of the data from 14 studies showed that mk had a higher pooled sensitivity, pooled specificity, and diagnostic performance for differentiating between breast lesions, compared with md.

Journal: Applied Bionics and Biomechanics (2022)
Publication types: Meta-Analysis;Review Article;
Diagnosis of Breast Cancer Pathology on the Wisconsin Dataset with the Help of Data Mining Classification and Clustering Techniques

Breast cancer must be addressed by a multidisciplinary team aiming at the patient’s comprehensive treatment.Recent advances in science make it possible to evaluate tumor staging and point out the specific treatment.However, these advances must be combined with the availability of resources and the easy operability of the technique.This study is aimed at distinguishing and classifying benign and malignant cells, which are tumor types, from the data on the wisconsin diagnostic breast cancer (wdbc) dataset by applying data mining classification and clustering techniques with the help of the weka tool.In addition, various algorithms and techniques used in data mining were measured with success percentages, and the most successful ones on the dataset were determined and compared with each other.

Journal: Applied Bionics and Biomechanics (2022)
Publication types: Research Article;
Dexmedetomidine Regulates the miR-146a-5p/NF-iκ/iB Axis to Alleviate Electroconvulsive Therapy-Induced Cognitive Impairments

Electroconvulsive therapy (ect) is a nonpharmacological treatment for depressive episodes and other psychiatric disorders.It is used to control the condition by causing a transient loss of consciousness through electrical stimulation.Dexmedetomidine (dex) is a novel and highly selective adrenergic agonist with sedative, sympathetic nerve activity inhibiting and stress-responsive effects.This study focused on the effect of dex on cerebral protection after ect treatment.68 depression patients were enrolled and divided into control group and dex group.The occurrence of delirium after ect treatment in depression cases was recorded.In vivo, we constructed chronic mild and unpredictable stress (cums) rats to mimic depression model.Meanwhile, ect treatment and dex injection were administrated in cums rats.Learning and memory in rats were measured by morris water maze test, open field test (oft), and forced swimming test (fst).Finally, the expression of mi r-146a-5p and nf-κb was determined by rt-q pcr and western blot assay.The incidence of delirium after ect treatment was prominently reduced in dex group in relation to control group.In vivo, dex injection had no effect on ect treatment efficacy against depression conditions.After ect treatment, the cognitive impairment was ameliorated in cums rats accomplished with decreased mi r-146a-5p and increased nf-κb level.Finally, compared with ect treatment, dex injection could protect against depression-like behaviors by increasing mi r-146a-5p level and inactivated nf-κb pathway.Overall, ect-induced cognitive impairment in depression rats could be ameliorated by dex injection via mi r-146a-5p/nf-κb axis.

Journal: Computational and Mathematical Methods in Medicine (2022)
Publication types: Research Article;