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Machine Learning Applied to Problem-Solving in Medical Applications

Computers, Materials & Continua 2021年第11期69卷 2277-2294页

作者： Mahmoud Ragab ali Algarni Adel A.Bahaddad Romany F.mansour Department of Information Technology Faculty of Computing and Information TechnologyKing Abdulaziz UniversityJeddah21589Saudi Arabia Centre for Artificial Intelligence in Precision Medicine King Abdulaziz UniversityJeddah21589Saudi Arabia Department of Statistics Faculty of ScienceKing Abdulaziz UniversityJeddah21589Saudi Arabia Department of Information Systems Faculty of Computing and Information TechnologyKing Abdulaziz UniversityJeddah21589Saudi Arabia Department of Mathematics Faculty of ScienceNew Valley UniversityEl-Kharga72511Egypt

Physical health plays an important role in overall well-being of the human *** is the most observed dimension of health among others such as social,intellectual,emotional,spiritual and environmental *** to exponential increase in the development of wireless communication techniques,Internet of Things(IoT)has effectively penetrated different aspects of human *** is one of the dynamic domains with ever-growing demands which can be met by IoT *** can be leveraged through several health service offerings such as remote health and monitoring services,aided living,personalized treatment,and so *** this scenario,Deep Learning(DL)models are employed in proficient disease *** current research work presents a new IoT-based physical health monitoring and management method using optimal Stacked Sparse Denoising Autoencoder(SSDA)technique i.e.,*** proposed model utilizes a set of IoT devices to collect the data from *** class problem poses serious challenges during disease diagnosis ***,the OSSDA model includes Synthetic Minority Over-Sampling Technique(SMOTE)to generate artificial minority class instances to balance the class ***,the hyperparameter settings of the OSSDA model exhibit heavy influence upon the classification performance of SSDA *** number of hidden layers,sparsity,and noise count are determined by Sailfish Optimizer(SFO).In order to validate the effectiveness and performance of the proposed OSSDA technique,a set of experiments was conducted on diabetes and heart disease *** simulation results portrayed a proficient diagnostic outcome from OSSDA technique over other *** proposed method achieved the highest accuracy values i.e.,0.9604 and 0.9548 on the applied heart disease and diabetes datasets respectively.

关键词： IoT patient monitoring physical health deep learning parameter tuning

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Y^(3+) substituting-adjusted mechanical,dielectric,and impedance properties of cobalt copper zinc nanoferrites for high frequency applications

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Journal of Rare Earths 2023年第10期41卷 1597-1605,I0005页

作者： S.F.mansour N.S.Al-Bassami M.Afifi M.A.Abdo Physics Department Faculty of ScienceZagazig UniversityZagazigEgypt General Studies Department Jubail Industrial CollegeJubail Industrial CitySaudi Arabia Faculty of Nanotechnology for Postgraduate Studies Cairo UniversityEl-Sheikh Zayed12588Egypt

Upgrading mechanical-dielectric features of ferrites through rare-earth yttrium(Y^(3+))doping provides feasibility to evolving high-frequency electronic *** paper reports the mechanical and dielectric properties of Co_(0.5)Cu_(0.25)Zn_(0.25)Y_(x)Fe_(2-x)O_(4)ferrite nanoparticles labeled as CCZYF#0,CCZYF#1,CCZYF#2,CCZYF#3,CCZYF#4 and CCZYF#5 for x=0.***.0.02,0.04,0.06,0.08,and 0.1,*** frequency and temperature dependence of dielectric parameters and co nductivity of all CCZYF nanoferrites are well *** nanoferrite CCZYF#5 has the highest dielectric constant(enhancing ratio 170%)and the highest conductivity(enhancing ratio 7125.81%)compared with the undoped *** plots of all CCZYF nano ferrites manifest two arcs;the main reasons for the dielectric process are the grain boundaries and bulk *** impedance parameters were determined,which showed the effective role of Y^(3+)ions on their *** nanoferrite CCZYF#5 has the highest grain boundaries capacitance(with enhancing ratio of 59.40%)and the highest grains capacitance(with enhancing ratio of 22.53%)with a relaxation time decrement efficiency of 62.51%.An ultrasonic flaw detector was utilized to determine the elastic moduli of all CCZYF *** nanoferrite CCZYF#5 has the highest longitudinal modulus(with enhancing ratio of 20.95%),the highest shear modulus(with enhancing ratio of48.72%),highest Young's modulus(with enhancing ratio of 88.47%),the highest bulk modulus(with enhancing ratio 13.27%)and the highest micro hardness(with enhancing ratio 77.77%).Hence,Y3+tuned Co-Cu-Zn nanoferrites possess new opportunities for high-frequency and storage applications.

关键词： Nanoferrites Rare arth ions Mechanical properties Dielectric parameters Impedance spectroscopy

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Emphysematous sloughed floating ball after prostate water vaporization Rezum:A case report

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世界临床病例杂志 2023年第23期11卷 5525-5529页

作者： mansour Alnazari Abdulaziz Bakhsh Emad Sabri Rajih Department of Urology Taibah UniversityMadinah 16655Al MadinahSaudi Arabia Urology Section Department of SurgeryKing Faisal Specialist Hospital&Research CenterMadinahSaudi Arabia

BACKGROUND Rezūm™water vapor therapy is a new minimally invasive endoscopic technology for the management and treatment of benign prostatic *** SUMMARY A 63-year-old male presented to our department with severe dysuria,frequency,urgency,and interrupted stream 2 mo after receiving Rezūm™*** symptoms were caused by a retained floating emphysematous necrotic sloughed *** also discovered a persistent bacterial infection that was resistant to parenteral antimicrobial *** treatment of the patient included surgical removal of the necrotic *** Despite the good safety profile and minimal adverse events related to Rezūm™therapy,major complications can still occur.

关键词： Benign prostatic hyperplasia Rezum Lower urinary tract symptoms Minimally invasive therapy Water vapor therapy Transurethral resection of the prostate Case report

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Hepatocellular carcinoma with complete response to the immunotherapy:the oncologist’s dilemma

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Hepatobiliary Surgery and Nutrition 2022年第1期11卷 119-122页

作者： mansour Al-Moundhri Antonio Cubisino Fabrizio Panaro Medical Oncology Department Sultan Qaboos Comprehensive Cancer CenterSultan Qaboos UniversityMuscatOman Department of Surgery University of Illinois at ChicagoChicagoILUSA Department of Surgery Montpellier University HospitalMontpellierFrance Surgical Oncology Department Sultan Qaboos Comprehensive Cancer CenterSultan Qaboos UniversityMuscatOman

Hepatocellular carcinoma(HCC)is the seventh most common cancer and the fourth leading cause of cancer-related death worldwide(1).During the last decade,many efforts have been made to improve patient survival by conducting clinical trials investigating local and systemic treatment options for patients with unresectable ***,despite significant research efforts,only few treatment approaches have been validated for HCC.

关键词： cancer immunotherapy clinical

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Depositional environments and sequence stratigraphy of the Bahram Formation(middleelate Devonian) in north of Kerman, south-central Iran

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Geoscience Frontiers 2016年第5期7卷 821-834页

作者： Afshin Hashmie ali Rostamnejad Fariba Nikbakht mansour Ghorbanie Peyman Rezaie Hossien Gholamalian Department of Geology Faculty of Sciences University of Hormozgan

This study is focused on sedimentary environments, facies distribution, and sequence stratigraphy. The facies and sequence stratigraphic analyses of the Bahram Formation（middleelate Devonian） in southcentral Iran are based on two measured stratigraphic sections in the southern Tabas block. The Bahram Formation overlies red sandstones Padeha Formation in sections Hutk and Sardar and is overlain by Carboniferous carbonate deposits of Hutk Formation paraconformably, with a thickness of 354 and386 m respectively. Mixed siliciclastic and carbonate sediments are present in this succession. The field observations and laboratory studies were used to identify 14 micro/petrofacies, which can be grouped into 5 depositional environments： shore, tidal flat, lagoon, shoal and shallow open marine. A mixed carbonate-detrital shallow shelf is suggested for the depositional environment of the Bahram Formation which deepens to the east（Sardar section） and thins in southern locations（Hutk section）. Three 3rdorder cyclic siliciclastic and carbonate sequences in the Bahram Formation and one sequence shared with the overlying joint with Hutk Formation are identified, on the basis of shallowing upward patterns in the micro/pertofacies.

关键词： Bahram Formation Devonian Facies analysis Mixed carbonate-detrital shallow-shelf Sequence stratigraphy Tabas block

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Endoscopic management of ingested foreign bodies in children: A retrospective review of cases, and review of the literature

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Open Journal of Pediatrics 2013年第4期3卷 428-435页

作者： Tariq O. abbas Noora Al Shahwani mansour ali Department of Pediatric Surgery Hamad General Hospital Doha Qatar

Background: Foreign body (FB) ingestion by children is a common problem worldwide. Management may include endoscopic removal. This paper describes the clinical findings, sites and types of FBs, and outcomes in children who underwent endoscopic management of ingested FBs at our institution. The published literature regarding the management of FB ingestion in children is also reviewed. Methods: We retrospectively reviewed the records of all patients aged <14 years who underwent endoscopic management of gastrointestinal FBs between July 2002 and June 2012 (47 patients) and tracheobronchial FBs between December 2010 and June 2012 (17 patients) at our institution. Patient characteristics, clinical findings, sites and types of FBs, and outcomes were recorded. Results: The 47 patients with gastrointestinal FBs included 29 males and 18 females with a mean age of 3.5 years. The most common symptoms were difficulty with swallowing and vomiting in 16 patients (34%), chest pain in 10 (21%), and coughing and breathing difficulty in 7 (15%). The most common FB site was the esophagus (36 patients). Most gastrointestinal FBs were metallic, with coins being the most common. Endoscopic removal was successful in 43 patients. The 17 patients with tracheobronchial foreign bodies included 9 males and 8 females with a mean age of 3.2 years. The most common symptoms were breathing difficulty in 12 patients (71%) and coughing in 3 (18%). The most common tracheobronchial FBs were nuts (10 patients). Bronchoscopic removal was successful in all 17 patients. Conclusions: Coins were the most common gastrointestinal FBs, and nuts were the most common tracheobronchial FBs. Clinical presentations were variable, and a high index of suspicion is necessary. Endoscopic removal is safe and effective, and early diagnosis and management result in favorable outcomes.

关键词： Foreign Body Ingestion Pediatric Endoscopy Coin Aspiration

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Competitive Swarm Optimization with Encryption Based Steganography for Digital Image Security

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Computers, Materials & Continua 2022年第8期72卷 4173-4184页

作者： Ala’A.Eshmawi Suliman A.Alsuhibany Sayed Abdel-Khalek Romany F.mansour Department of Cybersecurity College of Computer Science and EngineeringUniversity of JeddahJeddahSaudi Arabia Department of Computer Science College of ComputerQassim UniversityBuraydah51452Saudi Arabia Department of Mathematics College of ScienceTaif UniversityTaif21944Saudi Arabia Department of Mathematics Faculty of ScienceNew Valley UniversityEl-Kharga72511Egypt

Digital image security is a fundamental and tedious process on shared communication *** methods have been employed for accomplishing security on digital image transmission,such as encryption,steganography,and *** stenography and encryption are commonly used models to achieve improved ***,optimal pixel selection process(OPSP)acts as a vital role in the encryption *** this motivation,this study designs a new competitive swarmoptimization with encryption based stenographic technique for digital image security,named CSOES-DIS *** proposed CSOES-DIS model aims to encrypt the secret image prior to the embedding *** addition,the CSOES-DIS model applies a double chaotic digital image encryption(DCDIE)technique to encrypt the secret image,and then embedding method was ***,the OPSP can be carried out by the design of CSO algorithm and thereby increases the secrecy *** order to portray the enhanced outcomes of the CSOES-DIS model,a comparative examination with recent methods is performed and the results reported the betterment of the CSOES-DIS model based on different measures.

关键词： Image security optimal pixel selection encryption metaheuristics image steganography

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Launching of the Sultan Qaboos Comprehensive Cancer Care and Research Center(SQCCCRC)in the Sultanate of Oman to manage HBP type of cancers

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Hepatobiliary Surgery and Nutrition 2022年第2期11卷 338-339页

作者： Abdallah Al Farai mansour Al Moundhri Fabrizio Panaro Department of Surgical Oncology Sultan Qaboos Comprehensive Cancer Care and Research CentreMuscatSultanate of Oman Sultan Qaboos Comprehensive Cancer Care and Research Centre MuscatSultanate of Oman Department of Surgery/Division of HBP Surgery and Transplantation St.Eloi HospitalMontpellier University Hospital-School of MedicineMontpellierFrance

In July 2021 a new governmental cancer center,the Sultan Qaboos Comprehensive Cancer Care and Research Centre(SQCCCRC)(Figure 1)open its doors to provide excellent,evidenced-based patient-centered care for cancer patients in the Sultanate of *** is dedicated to treat cancer patients while building an environment to continuously advance clinical and scientific innovation in the treatment of Cancer.

关键词： Cancer Care cancer

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Renal Pathology Images Segmentation Based on Improved Cuckoo Search with Diffusion Mechanism and Adaptive Beta-Hill Climbing

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Journal of Bionic Engineering 2023年第5期20卷 2240-2275页

作者： Jiaochen Chen Zhennao Cai Huiling Chen Xiaowei Chen José Escorcia-Gutierrez Romany F.mansour Mahmoud Ragab College of Computer Science and Artificial Intelligence Wenzhou UniversityWenzhou325035China Department of Rheumatology and Immunology The First Affiliated Hospital of Wenzhou Medical UniversityWenzhou325000China Department of Computational Science and Electronics Universidad de la CostaCUC080002BarranquillaColombia Department of Mathematics Faculty of ScienceNew Valley University72511El-KhargaEgypt Information Technology Department Faculty of Computing and Information TechnologyKing Abdulaziz UniversityJeddah21589Saudi Arabia Department of Mathematics Faculty of ScienceAl-Azhar UniversityNaser CityCairo11884Egypt

Lupus Nephritis(LN)is a significant risk factor for morbidity and mortality in systemic lupus erythematosus,and nephropathology is still the gold standard for diagnosing *** assist pathologists in evaluating histopathological images of LN,a 2D Rényi entropy multi-threshold image segmentation method is proposed in this research to apply to LN *** method is based on an improved Cuckoo Search(CS)algorithm that introduces a Diffusion Mechanism(DM)and an Adaptiveβ-Hill Climbing(AβHC)strategy called the DMCS *** DMCS algorithm is tested on 30 benchmark functions of the IEEE CEC2017 *** addition,the DMCS-based multi-threshold image segmentation method is also used to segment renal pathological *** results show that adding these two strategies improves the DMCS algorithm's ability to find the optimal *** to the three image quality evaluation metrics:PSNR,FSIM,and SSIM,the proposed image segmentation method performs well in image segmentation *** research shows that the DMCS algorithm is a helpful image segmentation method for renal pathological images.

关键词： Multi-threshold image segmentation 2D Rényi entropy Renal pathology Cuckoo search algorithm Swarm intelligence algorithms Bionic algorithm

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Intelligent Disease Diagnosis Model for Energy Aware Cluster Based IoT Healthcare Systems

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Computers, Materials & Continua 2022年第4期71卷 1189-1203页

作者： Wafaa Alsaggaf Felwa Abukhodair Amani Tariq Jamal Sayed Abdel-Khalek Romany F.mansour Department of Information Technology Faculty of Computing and Information TechnologyKing Abdulaziz UniversityJeddahSaudi Arabia Department of Computer Science Faculty of Computing and Information TechnologyKing Abdulaziz UniversityJeddahSaudi Arabia Department of Mathematics and Statistics College of ScienceTaif UniversityTaif21944Saudi Arabia Department of Mathematics Faculty of ScienceNew Valley UniversityEl-Kharga72511Egypt

In recent days,advancements in the Internet of Things(IoT)and cloud computing(CC)technologies have emerged in different application areas,particularly *** use of IoT devices in healthcare sector often generates large amount of data and also spent maximum energy for data transmission to the cloud ***,energy efficient clustering mechanism is needed to effectively reduce the energy consumption of IoT *** the same time,the advent of deep learning(DL)models helps to analyze the healthcare data in the cloud server for decision *** this motivation,this paper presents an intelligent disease diagnosis model for energy aware cluster based IoT healthcare systems,called IDDM-EAC *** proposed IDDM-EAC technique involves a 3-stage process namely data acquisition,clustering,and disease *** addition,the IDDM-EAC technique derives a chicken swarm optimization based energy aware clustering(CSOEAC)technique to group the IoT devices into clusters and select cluster heads(CHs).Moreover,a new coyote optimization algorithm(COA)with deep belief network(DBN),called COA-DBN technique is employed for the disease diagnostic *** COA-DBN technique involves the design of hyperparameter optimizer using COA to optimally adjust the parameters involved in the DBN *** order to inspect the betterment of the IDDM-EAC technique,a wide range of experiments were carried out using real time data from IoT devices and benchmark data from UCI *** experimental results demonstrate the promising performance with the minimal total energy consumption of 63%whereas the EEPSOC,ABC,GWO,and ACO algorithms have showcased a higher total energy consumption of 69%,78%,83%,and 84%correspondingly.

关键词： Intelligent models healthcare systems disease diagnosis internet of things cloud computing clustering deep learning

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