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Predicting short-term thromboembolic risk following Roux-en-Y gastric bypass using supervised machine learning

World Journal of Gastrointestinal Surgery 2024年第4期16卷 1097-1108页

作者： Hassam Ali Faisal Inayat Vishali Moond Ahtshamullah Chaudhry Arslan Afzal Zauraiz Anjum Hamza Tahir muhammad Sajeel Anwar Dushyant Singh Dahiya muhammad Sohaib Afzal Gul Nawaz Amir H Sohail muhammad aziz Department of Gastroenterology East Carolina University Brody School of MedicineGreenvilleNC 27834United States Department of Internal Medicine Allama Iqbal Medical CollegeLahorePunjab 54550Pakistan Department of Internal Medicine Saint Peter's University Hospital and Robert Wood Johnson Medical SchoolNew BrunswickNJ 08901United States Department of Internal Medicine St.Dominic's HospitalJacksonMS 39216United States Department of Internal Medicine Rochester General HospitalRochesterNY 14621United States Department of Internal Medicine Jefferson Einstein HospitalPhiladelphiaPA 19141United States Department of Internal Medicine UHS Wilson Medical CenterJohnsonNY 13790United States Division of Gastroenterology Hepatology and MotilityThe University of Kansas School of MedicineKansasKS 66160United States Department of Internal Medicine Louisiana State University HealthShreveportLA 71103United States Department of Surgery University of New Mexico School of MedicineAlbuquerqueNM 87106United States Department of Gastroenterology and Hepatology The University of ToledoToledoOH 43606United States

BACKGROUND Roux-en-Y gastric bypass(RYGB)is a widely recognized bariatric procedure that is particularly beneficial for patients with class III *** aids in significant weight loss and improves obesity-related medical *** its effectiveness,postoperative care still has *** evidence shows that venous thromboembolism(VTE)is a leading cause of 30-d morbidity and mortality after ***,a clear unmet need exists for a tailored risk assessment tool for VTE in RYGB *** To develop and internally validate a scoring system determining the individualized risk of 30-d VTE in patients undergoing *** Using the 2016–2021 Metabolic and Bariatric Surgery Accreditation Quality Improvement Program,data from 6526 patients(body mass index≥40 kg/m^(2))who underwent RYGB were analyzed.A backward elimination multivariate analysis identified predictors of VTE characterized by pulmonary embolism and/or deep venous thrombosis within 30 d of *** resultant risk scores were derived from the coefficients of statistically significant *** performance of the model was evaluated using receiver operating curves through 5-fold *** Of the 26 initial variables,six predictors were *** included a history of chronic obstructive pulmonary disease with a regression coefficient(Coef)of 2.54(P7%(Coef 1.19,P<0.001),venous stasis history(Coef 1.43,P<0.001),and preoperative anticoagulation use(Coef 1.24,P<0.001).These variables were weighted according to their regression coefficients in an algorithm that was generated for the model predicting 30-d VTE risk *** risk model's area under the curve(AUC)was 0.79[95%confidence interval(CI):0.63-0.81],showing good discriminatory power,achieving a sensitivity of 0.60 and a specificity of *** training,the same model performed satisfactorily

关键词： Roux-en-Y gastric bypass Venous thromboembolism Machine learning Bariatric surgery Predictive modeling

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Early versus delayed necrosectomy in pancreatic necrosis:A population-based cohort study on readmission,healthcare utilization,and in-hospital mortality

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World Journal of Methodology 2024年第3期14卷 55-67页

作者： Hassam Ali Faisal Inayat Vinay Jahagirdar Fouad Jaber Arslan Afzal Pratik Patel Hamza Tahir muhammad Sajeel Anwar Attiq Ur Rehman muhammad Sarfraz Ahtshamullah Chaudhry Gul Nawaz Dushyant Singh Dahiya Amir H Sohail muhammad aziz Division of Gastroenterology and Hepatology East Carolina University Brody School of MedicineGreenvilleNC 27834United States Department of Internal Medicine Allama Iqbal Medical CollegeLahorePunjab 54550Pakistan Department of Internal Medicine University of Missouri-Kansas CityKansas CityMO 64108United States Division of Gastroenterology Mather Hospital and Zucker School of Medicine at Hofstra UniversityPort JeffersonNY 11777United States Department of Internal Medicine Jefferson Einstein HospitalPhiladelphiaPA 19141United States Department of Internal Medicine UHS Wilson Medical CenterJohnson CityNY 13790United States Division of Gastroenterology and Hepatology Geisinger Wyoming Valley Medical CenterWilkes-BarrePA 18711United States Department of Internal Medicine St.Dominic's HospitalJacksonMS 39216United States Division of Gastroenterology Hepatologyand MotilityThe University of Kansas School of MedicineKansas CityKS 66160United States Department of Surgery University of New Mexico School of MedicineAlbuquerqueNM 87106United States Division of Gastroenterology and Hepatology The University of ToledoToledoOH 43606United States

BACKGROUND Acute necrotizing pancreatitis is a severe and life-threatening *** poses a considerable challenge for clinicians due to its complex nature and the high risk of *** minimally invasive and open necrosectomy procedures have been *** advancements in treatment modalities,the optimal timing to perform necrosectomy lacks *** To evaluate the impact of necrosectomy timing on patients with pancreatic necrosis in the United *** A national retrospective cohort study was conducted using the 2016-2019 Nationwide Readmissions *** with non-elective admissions for pancreatic necrosis were *** participants were divided into two groups based on the necrosectomy timing:The early group received intervention within 48 hours,whereas the delayed group underwent the procedure after 48 *** various intervention techniques included endoscopic,percutaneous,or surgical *** major outcomes of interest were 30-day readmission rates,healthcare utilization,and inpatient *** A total of 1309 patients with pancreatic necrosis were *** propensity score matching,349 cases treated with early necrosectomy were matched to 375 controls who received delayed *** early cohort had a 30-day readmission rate of 8.6% compared to 4.8%in the delayed cohort(P=0.040).Early necrosectomy had lower rates of mechanical ventilation(2.9%vs 10.9%,P<0.001),septic shock(8%vs 19.5%,P<0.001),and in-hospital mortality(1.1%vs 4.3%,P=0.01).Patients in the early intervention group incurred lower healthcare costs,with median total charges of $52202 compared to$147418 in the delayed *** in the early cohort also had a relatively shorter median length of stay(6 vs 16 days,P<0.001).The timing of necrosectomy did not significantly influence the risk of 30-day readmission,with a hazard ratio of 0.56(95%confidence interval:0.31-1.02,P=0.06).CONCLUSION Our findings show that

关键词： Acute necrotizing pancreatitis Pancreatic necrosis Early necrosectomy Delayed necrosectomy Readmission,Healthcare costs Mortality

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Improved Sequencing Heuristic DSDV Protocol Using Nomadic Mobility Model for FANETS

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Computers, Materials & Continua 2022年第2期70卷 3653-3666页

作者： Inam Ullah Khan muhammad Abul Hassan muhammad Fayaz Jeonghwan Gwak muhammad Adnan aziz Department of Electronic Engineering Isra University(SEAS)Islamabad44000Pakistan Department of Computing and Technology Abasyn University Peshawar25000Pakistan Deparment of Computer Engineering Jeju National UniversityJejuKorea Department of Software Korea National University of TransportationChungju27469Korea Department of Biomedical Engineering Korea National University of TransportationChungju27469Korea Department of AI Robotics Engineering Korea National University of TransportationChungju27469Korea Department of IT&Energy Convergence(BK21 FOUR) Korea National University of TransportationChungju27469Korea

Most interesting area is the growing demand of flying-IoT mergers with smart ***,aerial vehicles,especially unmanned aerial vehicles(UAVs),have limited capabilities for maintaining node energy *** order to communicate effectively,IoT is a key element for smart *** improving network performance,routing protocols can be deployed in flying-IoT to improve latency,packet drop rate,packet delivery,power utilization,and average-end-to-end ***,in literature,proposed techniques are verymuch complex which cannot be easily implemented in realworld *** issue leads to the development of lightweight energyefficient routing in flying-IoT *** paper addresses the energy conservation problem in *** paper presents a novel approach for the internet of flying vehicles using DSDV ***-DSDV gives the notion of bellman-ford algorithm consisting of routing updates,information broadcasting,and stale *** shows optimal results in comparison with other contemporary routing *** mobility model is utilized in the scenario of flying networks to check the performance of routing protocols.

关键词： Flying-IoT DSR smart cities UAV’s FANETS

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Global geoepidemiology of gastrointestinal surgery rates in Crohn’s disease

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World Journal of Gastrointestinal Surgery 2024年第6期16卷 1835-1844页

作者： Simcha Weissman muhammad aziz Ayrton Bangolo Vignesh K Nagesh Htat Aung Midhun Mathew Lino Garcia Shiva A Chandar Praveena Karamthoti Harinder Bawa Aseel Alshimari Yabets Kejela Nazish Mehdi Chrishanti A Joseph Athri Kodali Rohan Kumar Priya Goyal Sanya Satheesha Fnu Nivedita Nicole Tesoro Tanni Sethi Gurpreet Singh Areej Belal Alina Intisar Hirra Khalid Samuel Cornwell Suchith B Suresh Kareem Ahmed Karabo K Marole Om P Anand Rahat B Reshi Tej I Mehta Sameh Elias Joseph D Feuerstein Department of Medicine Hackensack Meridian Health Palisades Medical CenterNorth BergenNJ 07047United States Division of Gastroenterology and Hepatology University of Toledo Medical CenterToledoOH 43614United States Department of Medicine University of WashingtonSeattleWA 98195United States Department of Radiology Johns Hopkins University HospitalBaltimoreMD 21218United States Division of Gastroenterology Beth Israel Deaconess Medical CenterHarvard Medical SchoolBostonMA 02215United States

BACKGROUND Data regarding the worldwide gastrointestinal surgery rates in patients with Crohn’s disease(CD)remains *** To systematically review the global variation in the rates of surgery in *** A comprehensive search analysis was performed using multiple electronic databases from inception through July 1,2020,to identify all full text,randomized controlled trials and cohort studies pertaining to gastrointestinal surgery rates in adult patients with *** included continent based demographic data,CD surgery rates over time,as well as the geoepidemiologic variation in CD surgery *** analyses were conducted using *** Twenty-three studies spanning four continents were *** median proportion of persons with CD who underwent gastrointestinal surgery in studies from North America,Europe,Asia,and Oceania were 30%(range:1.7%-62.0%),40%(range:0.6%-74.0%),17%(range:16.0%-43.0%),and 38%*** clear association was found regarding the proportion of patients undergoing gastrointestinal surgery over time in North America(R^(2)=0.035)and Europe(R^(2)=0.100).A moderate,negative association was seen regarding the proportion of patients undergoing gastrointestinal surgery over time(R^(2)=0.520)in *** There appears to be significant inter-continental variation regarding surgery rates in *** evidencebased guidelines accounting for the geographic differences in managing patients with CD is ***,as a paucity of data on surgery rates in CD exists outside the North American and European continents,future studies,particularly in less studied locales,are warranted.

关键词： Gastrointestinal surgery Crohn’s disease Geoepidemiology Inflammatory bowel disease Prevalence

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Active Learning Strategies for Textual Dataset-Automatic Labelling

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Computers, Materials & Continua 2023年第8期76卷 1409-1422页

作者： Sher muhammad Daudpota Saif Hassan Yazeed Alkhurayyif Abdullah Saleh Alqahtani muhammad Haris aziz Department of Computer Science Sukkur IBA UniversitySukkur65200Pakistan Al Quwayiyah College of Sciences and Humanities Shaqra UniversityShaqra15526Saudi Arabia Self-Development Skills Department Common First Year DeanshipKing Saud UniversityRiyadh12373Saudi Arabia STC’s Artificial Intelligence Chair Department of Information SystemsCollege of Computer and Information SciencesKing Saud UniversityRiyadh11451Saudi Arabia College of Engineering&Technology University of SargodhaSargodha40100Pakistan

The Internet revolution has resulted in abundant data from various sources,including social media,traditional media,*** the availability of data is no longer an issue,data labelling for exploiting it in supervised machine learning is still an expensive process and involves tedious human *** overall purpose of this study is to propose a strategy to automatically label the unlabeled textual data with the support of active learning in combination with deep *** specifically,this study assesses the performance of different active learning strategies in automatic labelling of the textual dataset at sentence and document *** achieve this objective,different experiments have been performed on the publicly available *** first set of experiments,we randomly choose a subset of instances from training dataset and train a deep neural network to assess performance on test *** the second set of experiments,we replace the random selection with different active learning strategies to choose a subset of the training dataset to train the same model and reassess its performance on test *** experimental results suggest that different active learning strategies yield performance improvement of 7% on document level datasets and 3%on sentence level datasets for auto labelling.

关键词： Active learning automatic labelling textual datasets

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Foliar application of micronutrients enhances crop stand, yield and the biofortification essential for human health of different wheat cultivars

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Journal of Integrative Agriculture 2019年第6期18卷 1369-1378页

作者： muhammad Zahir aziz muhammad Yaseen Tanveer Abbas muhammad Naveed Adnan Mustafa Yasir Hamid Qudsia Saeed XU Ming-gang Institute of Soil and Environmental Sciences University of AgricultureFaisalabad 38040Pakistan National Engineering Laboratory for Improving Quality of Arable Land Institute of Agricultural Resources and Regional PlanningChinese Academy of Agricultural SciencesBeijing 100081P.R.China College of Environmental and Resources Science Zhejiang UniversityHangzhou 310058P.R.China College of Natural Resources and Environment Northwest Agriculture and Forestry UniversityYangling 712100P.R.China

Globally about half of the world’s population is under micronutrient malnutrition due to poor quality food *** overcome this problem,fortification and biofortification techniques are often *** is considered a better option than fortification due to the easy control of nutrient deficiencies present in daily *** field experiment was conducted to evaluate the effects of foliar application of a micronutrient mixture(MNM)consisting of zinc(Zn),iron(Fe),copper(Cu),manganese(Mn)and boron(B)on yield and flour quality of *** results show the effectiveness of foliar feeding for growth and yield parameters,in addition to the enriching of wheat grains with Zn,Cu,Fe,Mn and *** to the control without foliar feeding,foliar application on wheat crop increased tillering ability,spike length,grain yield and the contents of Zn,Cu,Mn,Fe and B by 21,47,22,22 and 25%in wheat flour,***,foliar feeding of micronutrients could be an effective approach to enrich wheat grains with essential nutrients for correcting malnutrition.

关键词： enrichment biofortification malnutrition micronutrients wheat flour

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Numerical Study of Computer Virus Reaction Diffusion Epidemic Model

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Computers, Materials & Continua 2021年第3期66卷 3183-3194页

作者： Umbreen Fatima Dumitru Baleanu Nauman Ahmed Shumaila Azam Ali Raza muhammad Rafiq muhammad aziz-ur Rehman Department of Computer Science The University of LahoreLahorePakistan Department of Mathematics Cankaya UniversityAnkaraTurkey Institute of Space Sciences Magurele-BucharestRomania Department of Medical Research China Medical University HospitalChina Medical UniversityTaichungTaiwan Department of Mathematics and Statistics The University of LahoreLahorePakistan Department of Mathematics National College of Business Administration and Economics LahoreLahorePakistan Faculty of Engineering University of Central PunjabLahorePakistan Department of Mathematics University of Management and TechnologyLahorePakistan

Reaction–diffusion systems are mathematical models which link to several physical *** most common is the change in space and time of the meditation of one or more ***–diffusion modeling is a substantial role in the modeling of computer propagation like infectious *** investigated the transmission dynamics of the computer virus in which connected to each other through network *** current study devoted to the structure-preserving analysis of the computer propagation *** manuscript is devoted to finding the numerical investigation of the reaction–diffusion computer virus epidemic model with the help of a reliable *** designed technique is finite difference scheme which sustains the important physical behavior of continuous model like the positivity of the dependent variables,the stability of the *** theoretical analysis of the proposed method like the positivity of the approximation,stability,and consistency is discussed in detail.A numerical example of simulations yields the authentication of the theoretical results of the designed technique.

关键词： Computer virus dynamics reaction-diffusion system positive solution simulations

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Optimality of Solution with Numerical Investigation for Coronavirus Epidemic Model

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Computers, Materials & Continua 2021年第5期67卷 1713-1728页

作者： Naveed Shahid Dumitru Baleanu Nauman Ahmed Tahira Sumbal Shaikh Ali Raza muhammad Sajid Iqbal muhammad Rafiq muhammad aziz-ur Rehman Department of Mathematics and Statistics The University of LahoreLahorePakistan Department of Mathematics University of Management and TechnologyLahorePakistan Department of Mathematics Cankaya UniversityBalgatAnkara06530Turkey Department of Medical Research China Medical University HospitalChina Medical UniversityTaichungTaiwanChina Institute of Space Sciences Magurele-BucharestRomania Department of Mathematics Lahore College for Women UniversityLahorePakistan Department of Mathematics National College of Business Administration and Economics LahorePakistan Department of Mathematics Faculty of SciencesUniversity of Central PunjabLahorePakistan

The novel coronavirus disease,coined as COVID-19,is a murderous and infectious disease initiated from Wuhan,*** killer disease has taken a large number of lives around the world and its dynamics could not be controlled so *** this article,the spatio-temporal compartmental epidemic model of the novel disease with advection and diffusion process is projected and *** counteract these types of diseases or restrict their spread,mankind depends upon mathematical modeling and medicine to reduce,alleviate,and anticipate the behavior of disease *** existence and uniqueness of the solution for the proposed system are ***,the solution to the considered system is made possible in a well-known functions *** this purpose,a Banach space of function is chosen and the solutions are optimized in the closed and convex subset of the *** essential explicit estimates for the solutions are investigated for the associated auxiliary *** numerical solution and its analysis are the crux of this ***,the consistency,stability,and positivity are the indispensable and core properties of the compartmental models that a numerical design must *** this end,a nonstandard finite difference numerical scheme is developed to find the numerical solutions which preserve the structural properties of the continuous *** M-matrix theory is applied to prove the positivity of the *** results for the consistency and stability of the design are also presented in this *** plausibility of the projected scheme is indicated by an appropriate *** simulations are also exhibited to conclude the results.

关键词： Spatio-temporal advection diffusion explicit estimates auxiliary data M-matrix

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Structure Preserving Algorithm for Fractional Order Mathematical Model of COVID-19

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Computers, Materials & Continua 2022年第5期71卷 2141-2157页

作者： Zafar Iqbal muhammad aziz-ur Rehman Nauman Ahmed Ali Raza muhammad Rafiq Ilyas Khan Kottakkaran Sooppy Nisar Department of Mathematics University of Management and TechnologyLahorePakistan Department of Mathematics and Statistics The University of LahoreLahorePakistan Stochastic Analysis&Optimization Research Group Department of MathematicsAir UniversityIslamabad44000Pakistan Department of Mathematics National College of Business Administration and EconomicsLahorePakistan Department of Mathematics Faculty of SciencesUniversity of Central PunjabLahore54500Pakistan Faculty of Mathematics and Statistics Ton Duc Thang UniversityHo Chi Minh City72915Vietnam Department of Mathematics College of Arts and Science at Wadi AldawaserPrince Sattam Bin Abdulaziz UniversityAlkharj11991Kingdom of Saudi Arabia

In this article,a brief biological structure and some basic properties of COVID-19 are described.A classical integer order model is modified and converted into a fractional order model withξas order of the fractional ***,a valued structure preserving the numerical design,coined as Grunwald–Letnikov non-standard finite difference scheme,is developed for the fractional COVID-19 *** into account the importance of the positivity and boundedness of the state variables,some productive results have been proved to ensure these essential *** of the model at a corona free and a corona existing equilibrium points is investigated on the basis of Eigen *** Routh–Hurwitz criterion is applied for the local stability *** appropriate example with fitted and estimated set of parametric values is presented for the *** solutions are displayed for the chosen values ofξ(fractional order of the derivatives).The role of quarantined policy is also determined gradually to highlight its significance and relevancy in controlling infectious *** the end,outcomes of the study are presented.

关键词： Coronavirus pandemic model deterministic ordinary differential equations numerical methods convergence analysis

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Ambiguity Resolution in Direction of Arrival Estimation with Linear Antenna Arrays Using Differential Geometry

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Computers, Materials & Continua 2022年第1期70卷 581-599页

作者： Alamgir Safi muhammad Asghar Khan Fahad Algarni muhammad Adnan aziz M.Irfan Uddin Insaf Ullah Tanweer Ahmad Cheema Department of Electronic Engineering ISRA UniversityIslamabad44000Pakistan Hamdard Institute of Engineering&Technology Islamabad44000Pakistan College of Computing and Information Technology University of BishaBishaSaudi Arabia Institute of Computing Kohat University of Science and TechnologyKohatPakistan

Linear antenna arrays(LAs)can be used to accurately predict the direction of arrival(DOAs)of various targets of interest in a given ***,under certain conditions,LA suffers from the problem of ambiguities among the angles of targets,which may result inmisinterpretation of such *** order to cope up with such ambiguities,various techniques have been ***,none of them fully resolved such a problem because of rank deficiency and high computational *** aimed to resolve such a problem by proposing an algorithm using differential *** proposed algorithm uses a specially designed doublet antenna array,which is made up of two individual linear *** angle observation models,ambiguous observation model(AOM)and estimated observation model(EOM),are derived for each individual *** ambiguous set of angles is contained in the AOM,which is obtained from the corresponding array elements using differential *** EOM for each array,on the other hand,contains estimated angles of all sources impinging signals on each array,as calculated by a direction-finding algorithm such as the genetic *** algorithm then contrasts the EOM of each array with its AOM,selecting the output of that array whose EOM has the minimum correlation with its corresponding *** comparison to existing techniques,the proposed algorithm improves estimation accuracy and has greater precision in antenna aperture selection,resulting in improved resolution capabilities and the potential to be used more widely in practical *** simulation results using MATLAB authenticates the effectiveness of the proposed algorithm.

关键词： Antenna array direction of arrival ambiguity resolution doublet antenna array ambiguous observation model estimated observation model

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