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Cloud model-based analysis of regional sustainable water resource utilization schemes

International Journal of Agricultural and Biological Engineering 2016年第5期9卷 67-75页

作者： Fu Qiang Meng Fanxiang Li Tianxiao Liu Dong Gong Fanli amgad Osman Li Yutong School of Water Conservancy and Civil Engineering Northeast Agricultural UniversityHarbin 150030China Heilongjiang Provincial Collaborative Innovation Center of Grain Production Capacity Improvement Northeast Agricultural UniversityHarbin 150030China Key Laboratory of High Efficiency Utilization of Agricultural Water Resource of Ministry of Agriculture Northeast Agricultural UniversityHarbin 150030China

Given the adverse effects of current water shortages,low utilization and imbalance between the supply and demand,and other status quo problems relating to social economic development,the construction industry and agriculture,a cloud model was applied to a water resource system using five sustainable water resource utilization schemes for Kiamusze,Heilongjiang Province,as an *** research changes the qualitative description of the concept language into a quantitative analysis of an evaluation indicator.A cloud model-based analytical method for regional sustainable water resource utilization schemes was proposed,and the sustainable grades of the water resources were *** research results showed that,in addition to the natural continuation of such schemes,the development trends of four new schemes achieved the sustainable utilization of water resources,and thus,the sustainable water resource utilization was ***,when the open-source,throttle,comprehensive and coordination schemes were subjected to the optimum applicability analysis,based on the limiting factors in different periods,resource availability and long-term development,decision-making regarding the best solution in different periods better ensures sustainable development in *** research results provide a significant theoretical basis for the formulation of scientific and reasonable sustainable water resource utilization strategies in Kiamusze.

关键词： cloud model regional water resources sustainable utilization normal cloud scheme analysis

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Barriers to the Implementation of Primary PCI in the Management of STEMI in Egypt

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Cardiovascular Innovations and Applications 2021年第4期6卷 69-79页

作者： Sameh shaheen Ayman Helal Islam Anan Faculty of Medicine Ain Shams UniversityCairoEgypt Faculty of Medicine Fayoum UniversityFayoumEgypt Queen Alexandra Hospital PortsmouthUK Faculty of Pharmacy Ain Shams UniversityCairoEgypt

Introduction:Evidence-based guidelines recommend primary percutaneous coronary intervention(PPCI)be the mainstay reperfusion strategy for the treatment of ST-segment elevation myocardial infarction(STEMI)if it is per-formed in the proper time ***,the Egyptian health care system is still struggling to provide such an important *** aim of the present study,through a quantitative questionnaire,is to explore the current practice of STEMI management in Egypt,and to identify the barriers,opportunities,and potential areas for *** and Results:The questionnaire was conducted in Egypt via face-to-face qualitative in-depth interviews with cardiologists from 14 PPCI-capable hospitals and 26 non-PPCI-capable *** were selected in view of their experience and *** study identifi ed potential barriers to the implementation of PPCI among STEMI patients in *** barriers included the prehospital patient delay and emergency medical service delay,delay in the emergency department and delay in patient transfer to the CCU,unavailable equipment,catheterization laboratory activation delay,lack of trained interventional cardiologists,lack of regional STEMI networks and hospital policies,and insuffi cient ICU ***:Limited resources and health care system inadequacies have led to potential barriers that prevent sub-optimal implementation of PPCI in *** from all health care providers should be directed to overcome these identifi ed barriers.

关键词： ST-segment elevation myocardial infarction primary percutaneous coronary intervention barriers Egypt

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Diagnostic and treatment utility of echocardiography in the management of the cardiac patient

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World Journal of Cardiology 2020年第6期12卷 262-268页

作者： Ariella Khalili Jennifer Drummond Neiman Ramjattan Roman Zeltser amgad N Makaryus North Shore Hebrew Academy Great NeckNY 11020United States Department of Internal Medicine Tufts Medical CenterBostonMA 10211United States Department of Cardiology Nassau University Medical CenterEast MeadowNY 11554United States Department of Cardiology Donald and Barbara Zucker School of Medicine at Hofstra/NorthwellHempsteadNY 11549United States

BACKGROUND Echocardiograms are an incredibly useful diagnostic tool due to their lack of harmful radiation,the relative ease and speed with which they can be performed,and their almost ubiquitous ***,the advantages that support the use of echocardiography can also lead to the overuse of this *** sought to evaluate the physician perceived impact echocardiography has on patient *** To evaluate the physician perceived impact echocardiography has on patient *** Surveys were distributed to the ordering physician for echocardiograms performed at our institution over a 10-wk *** transthoracic echocardiograms performed on the inpatient service were *** were distributed to either the attending physician or the resident physician listed on the echocardiogram *** information requested in the survey focused on the indication for the study and the perceived importance and effect of the *** statistical analysis was performed on all of the answers from the collected *** A total of 103 surveys were obtained and *** internal medicine(57%)and cardiology(37%)specialties ordered the most *** most common reason for ordering an echocardiogram was to rule out a diagnosis(38.2%).Only 27.5%of physicians reported that the echocardiogram significantly affected patient care,with 18.6%reporting a moderate effect,and 30.4%reporting a mild effect.A total of 19.6%of physicians stated that there was no effect on patient ***,43.1%of physicians reported that they made changes in patient management due to no change having occurred in the disease,11.8%reported that changes in management were based on the recommendation of a specialist,and only 9.8%reported that further imaging was ordered due to the results of the *** majority of physicians(67.6%)considered an echocardiogram to be“somewhat essential”in the management of adult inpat

关键词： Echocardiogram Utilization Cardiology Inpatient Survey Management

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Importance of Features Selection,Attributes Selection,Challenges and Future Directions for Medical Imaging Data:A Review

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Computer Modeling in Engineering & Sciences 2020年第10期125卷 315-344页

作者： Nazish Naheed Muhammad shaheen Sajid Ali Khan Mohammed Alawairdhi Muhammad Attique Khan Faculty of Engineering&Information Technology Foundation University IslamabadIslamabadPakistan College of Computing and Informatics Saudi Electronic UniversityRayadhSaudi Arabia Department of Computer Science HITEC UniversityTaxilaPakistan

In the area of pattern recognition and machine learning,features play a key role in *** famous applications of features are medical imaging,image classification,and name a few *** the exponential growth of information investments in medical data repositories and health service provision,medical institutions are collecting large volumes of *** data repositories contain details information essential to support medical diagnostic decisions and also improve patient care *** the other hand,this growth also made it difficult to comprehend and utilize data for various *** results of imaging data can become biased because of extraneous features present in larger *** selection gives a chance to decrease the number of components in such large *** selection techniques,ousting the unimportant features and selecting a subset of components that produces prevalent characterization *** correct decision to find a good attribute produces a precise grouping model,which enhances learning pace and forecast *** paper presents a review of feature selection techniques and attributes selection measures for medical *** review is meant to describe feature selection techniques in a medical domainwith their pros and cons and to signify its application in imaging data and data mining *** review reveals the shortcomings of the existing feature and attributes selection techniques to multi-sourced ***,this review provides the importance of feature selection for correct classification of medical *** the end,critical analysis and future directions are provided.

关键词： Medical imaging imaging data feature selection data mining attribute selection medical challenges future directions

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B^(2)C^(3)NetF^(2):Breast cancer classification using an end‐to‐end deep learning feature fusion and satin bowerbird optimization controlled Newton Raphson feature selection

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CAAI Transactions on Intelligence Technology 2023年第4期8卷 1374-1390页

作者： Mamuna Fatima Muhammad Attique Khan Saima.shaheen Nouf Abdullah Almujally Shui‐Hua Wang Department of Computer Science HITEC UniversityTaxilaPakistan Department of Information Systems College of Computer and Information SciencesPrincess Nourah bint Abdulrahman UniversityRiyadhSaudi Arabia Department of Mathematics University of LeicesterLeicesterUK

Currently,the improvement in AI is mainly related to deep learning techniques that are employed for the classification,identification,and quantification of patterns in clinical *** deep learning models show more remarkable performance than the traditional methods for medical image processing tasks,such as skin cancer,colorectal cancer,brain tumour,cardiac disease,Breast cancer(BrC),and a few *** manual diagnosis of medical issues always requires an expert and is also ***,developing some computer diagnosis techniques based on deep learning is *** cancer is the most frequently diagnosed cancer in females with a rapidly growing *** is estimated that patients with BrC will rise to 70%in the next 20 *** diagnosed at a later stage,the survival rate of patients with BrC is ***,early detection is essential,increasing the survival rate to 50%.A new framework for BrC classification is presented that utilises deep learning and feature *** significant steps of the presented framework include(i)hybrid contrast enhancement of acquired images,(ii)data augmentation to facilitate better learning of the Convolutional Neural Network(CNN)model,(iii)a pre‐trained ResNet‐101 model is utilised and modified according to selected dataset classes,(iv)deep transfer learning based model training for feature extraction,(v)the fusion of features using the proposed highly corrected function‐controlled canonical correlation analysis approach,and(vi)optimal feature selection using the modified Satin Bowerbird Optimization controlled Newton Raphson algorithm that finally classified using 10 machine learning *** experiments of the proposed framework have been carried out using the most critical and publicly available dataset,such as CBISDDSM,and obtained the best accuracy of 94.5%along with improved computation *** comparison depicts that the presented method surpasses the current state‐ofthe‐art approache

关键词： artificial intelligence artificial neural network deep learning,medical image processing,multi‐objective optimization

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Medi-Block Record Secure Data Sharing in Healthcare System:Issues,Solutions and Challenges

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Computer Systems Science & Engineering 2023年第12期47卷 2725-2740页

作者： Zuriati Ahmad Zukarnain amgad Muneer Nur Atirah Mohamad Nassir Akram A。Almohammedi Faculty of Computer Science and Information Technology University Putra MalaysiaSeri Kembangan43400Malaysia Department of Computer and Information Sciences Universiti Teknologi PETRONASSeri Iskandar32160Malaysia Centre for Research in Data Science(CeRDaS) Universiti Teknologi PETRONASSeri Iskandar32610Malaysia Automobile Transportation Department South Ural State UniversityChelyabinsk454080Russia Electrical and Electronics Engineering Department Karabük UniversityKarabük78050Turkey

With the advancements in the era of artificial intelligence,blockchain,cloud computing,and big data,there is a need for secure,decentralized medical record storage and retrieval *** cloud storage solves storage issues,it is challenging to realize secure sharing of records over the ***-block record in the healthcare system has brought a new digitalization method for patients’medical *** centralized technology provides a symmetrical process between the hospital and doctors when patients urgently need to go to a different or nearby *** enables electronic medical records to be available with the correct authentication and restricts access to medical data ***-block record is the consumer-centered healthcare data system that brings reliable and transparent datasets for the medical *** study presents an extensive review of proposed solutions aiming to protect the privacy and integrity of medical data by securing data sharing for Medi-block *** also aims to propose a comprehensive investigation of the recent advances in different methods of securing data sharing,such as using Blockchain technology,Access Control,Privacy-Preserving,Proxy Re-Encryption,and Service-On-Chain ***,we highlight the open issues and identify the challenges regarding secure data sharing for Medi-block records in the healthcare systems.

关键词： Medi-block record healthcare system Blockchain technology secure data sharing

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Probability Based Regression Analysis for the Prediction of Cardiovascular Diseases

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Computers, Materials & Continua 2023年第6期75卷 6269-6286页

作者： Wasif Akbar Adbul Mannan Qaisar shaheen Mohammad Hijji Muhammad Anwar Muhammad Ayaz Department of Computer Science NFC Institute of Engineering and TechnologyMultanPakistan Faculty of Computer Science&Information Technology University of MalayaKuala LumpurMalaysia Department of Computer Science and Information Technology The Islamia University of BahawalpurRahim Yar Khan CampusPunjabPakistan Faculty of Computers and Information Technology University of TabukTabuk47512Saudi Arabia Department of Information Sciences Division of Science and TechnologyUniversity of EducationLahorePakistan Sensor Networks and Cellular Systems(SNCS)research center University of TabukTabuk47512Saudi Arabia

Machine Learning(ML)has changed clinical diagnostic procedures *** in Cardiovascular Diseases(CVD),the use of ML is indispensable to reducing human *** studies focused on disease prediction but depending on multiple parameters,further investigations are required to upgrade the clinical ***-layered implementation of ML also called Deep Learning(DL)has unfolded new horizons in the field of clinical *** formulates reliable accuracy with big datasets but the reverse is the case with small *** paper proposed a novel method that deals with the issue of less data *** by the regression analysis,the proposed method classifies the data by going through three different *** the first stage,feature representation is converted into probabilities using multiple regression techniques,the second stage grasps the probability conclusions from the previous stage and the third stage fabricates the final *** experiments were carried out on the Cleveland heart disease *** results show significant improvement in classification *** is evident from the comparative results of the paper that the prevailing statistical ML methods are no more stagnant disease prediction techniques in demand in the future.

关键词： Machine learning heart disease cardiac disease deep regression regression learning

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Utility of short-term telemetry heart rhythm monitoring and CHA2DS2-VASc stratification in patients presenting with suspected cerebrovascular accident

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World Journal of Cardiology 2023年第2期15卷 56-63页

作者： Tanzim Bhuiya Sherif Roman Taner Aydin Bhakti Patel Roman Zeltser amgad N Makaryus Department of Cardiology Donald and Barbara Zucker School of Medicine at Hofstra/NorthwellHempsteadNY 11553United States Department of Cardiology St.Joseph’s University Medical CenterPatersonNJ 07503United States Department of Cardiology Nassau University Medical CenterEast MeadowNY 11554United States

BACKGROUND Inpatient telemetry heart rhythm monitoring overuse has been linked to higher healthcare *** To evaluate if CHA2DS2-VASc score could be used to indicate if a patient admitted with possible cerebrovascular accident(CVA)or transient ischemic attack(TIA)requires inpatient telemetry *** A total of 257 patients presenting with CVA or TIA and placed on telemetry monitoring were analyzed *** investigated the utility of telemetry monitoring to diagnose atrial fibrillation/flutter and the CHA2DS2-VASc scoring tool to stratify the risk of having CVA/TIA in these *** In our study population,63(24.5%)of the patients with CVA/TIA and telemetry monitoring were determined to have no ischemic neurologic *** the 194(75.5)patients that had a confirmed CVA/TIA,only 6(2.3%)had an arrhythmia detected during their inpatient telemetry monitoring *** with a confirmed CVA/TIA had a statistically significant higher CHA2DS2-VASc score compared to individuals without an ischemic event(3.59 vs 2.61,P<0.001).CONCLUSION Given the low percentage of inpatient arrhythmias identified,further research should focus on discretionary use of inpatient telemetry on higher risk patients to diagnose the arrhythmias commonly leading to CVA/TIA.A prospective study assessing event rate of CVA/TIA in patients with higher CHA2DS2-VASc score should be performed to validate the CHA2DS2-VASc score as a possible risk stratifying tool for patients at risk for CVA/TIA.

关键词： Telemetry monitoring CHA2DS2-VASc score Arrhythmia Atrial fibrillation

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Synthesis and photoswitching properties of azobenzene liquid crystals with a pentafluorobenzene terminal

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Chinese Chemical Letters 2014年第12期25卷 1611-1614页

作者： Md Lutfor Rahman Gurumuthy Hegde shaheen M.Sarkar Mashitah Mohd Yusoff Faculty of Industrial Sciences  Technology Universiti Malaysia PahangKuantan 26300Malaysia

The fluorine-substituted benzoate ester rod-shaped liquid crystals containing an azobenzene side chain linked with terminal double bonds were synthesized and *** mesophase and photoswitching properties were determined by polarizing optical microscopy（POM）,differential scanning calorimetry（DSC） and UV-visible *** rod-shaped compound 4a having an odd number of carbon atoms in the alkyl chains exhibits nematic phase and SmA type phase whereas compound 4b having an even number of carbon atoms showed only nematic *** fluorinecontaining compounds 4c and 4d showed only SmA type *** photoswitching properties of these compounds showed a rate of trans to cis isomerization ranging 19-20 s,whereas reverse process took around 230 min in *** materials may be ideal in the field of optically rewritable applications where both on and off rates should be crucial.

关键词： Liquid crystals Azobenzene Photoswitching Fluorine compounds

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Type 2 Diabetes Risk Prediction Using Deep Convolutional Neural Network Based-Bayesian Optimization

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Computers, Materials & Continua 2023年第5期75卷 3223-3238页

作者： Alawi Alqushaibi Mohd Hilmi Hasan Said Jadid Abdulkadir amgad Muneer Mohammed Gamal Qasem Al-Tashi Shakirah Mohd Taib Hitham Alhussian Computer&Information Sciences Universiti Teknologi PETRONASSeri Iskandar32610PerakMalaysia Centre for Research in Data Science(CERDAS) Universiti Teknologi PETRONASSeri Iskandar32610PerakMalaysia Department of Imaging Physics University of Texas MD Anderson CancerHoustonTXUSA

Diabetes mellitus is a long-term condition characterized by *** could lead to plenty of *** to rising morbidity in recent years,the world’s diabetic patients will exceed 642 million by 2040,implying that one out of every ten persons will be *** is no doubt that this startling figure requires immediate attention from industry and academia to promote innovation and growth in diabetes risk prediction to save individuals’*** to its rapid development,deep learning(DL)was used to predict numerous ***,DLmethods still suffer from their limited prediction performance due to the hyperparameters selection and parameters ***,the selection of hyper-parameters is critical in improving classification *** study presents Convolutional Neural Network(CNN)that has achieved remarkable results in many medical domains where the Bayesian optimization algorithm(BOA)has been employed for hyperparameters selection and parameters *** issues have been investigated and solved during the experiment to enhance the *** first is the dataset class imbalance,which is solved using Synthetic Minority Oversampling Technique(SMOTE)*** second issue is the model’s poor performance,which has been solved using the Bayesian optimization *** findings indicate that the Bayesian based-CNN model superbases all the state-of-the-art models in the literature with an accuracy of 89.36%,F1-score of 0.88.6,andMatthews Correlation Coefficient(MCC)of 0.88.6.

关键词： Type 2 diabetes diabetes mellitus convolutional neural network Bayesian optimization SMOTE

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