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Assessment of Breast Cancer Prevention Practices among Women Attending Primary Health Care in Abha City, Aseer Region, Saudi Arabia

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International Journal of Clinical Medicine 2024年第2期15卷 31-54页

作者： Sabah Mohammed Asiri Sultan Yahia Alfifii Tagreed Khairan Al-Rashidi Sager Misfer Alqahtani faiz abdulrahman alshafa Fayez Mari Alamri Amal Mohammed Asiri Fatima Mohammed Ali Almagadi Thuraya Mohammed Asiri Department of Therapeutic Assistance Management General Directorate of Health Affairs Asser Region Abha Saudi Arabia Department of Health Affairs General Directorate of Health Affairs Asser Region Abha Saudi Arabia Department of Kidney King Khaled Hospital Hail Saudi Arabia Department of Nursing Sarat Abida Hospital Aseer Saudi Arabia Department of Radiation Oncology King Faisal Medical City Abha Saudi Arabia Department of Health Affairs KSA MOH Department of Kidney Dialysis Centers General Directorate of Health Affairs Aseer Region Abha Saudi Arabia Department of Operation Ahad Rafidah Hospital General Directorate of Health Affairs in Asseer Region Abha Saudi Arabia South Qunfudah General Hospital Jizan Saudi Arabia Armed Forces Southern Region Hospital Aseer Saudi Arabia

Cancer is a leading cause of death worldwide, with breast cancer being the most common (2.26 million new cases and 685,000 deaths). In Saudi Arabia, breast cancer ranked the first among females in 2014, accounting for 15.9% of all cancers reported among Saudi nationals and 28.7% of all cancers reported among females of all ages. Early detection of breast cancer could decrease the risks, have a better prognosis, and have better outcomes/more successful treatments. Prevalence of breast cancer reached more than 25% of all diagnosed cancer in the kingdom among women. Aim: This study aims to assess the knowledge and performance of women attending primary care centers about breast self-examination and mammogram screening for prevention and early detection of breast cancer in Abha city primary healthcare centers, Kingdom of Saudi Arabia. Research Method: cross sectional design was conducted by using questionnaire, which was distributed to primary care center nurses. The collected data was statistically analyzed using the Statistical Package for Social Sciences, version 25. Results: The study found that participants had poor awareness and knowledge about breast self-examination, risk factors for breast cancer, and trends and practices in early diagnosis of breast cancer. Conclusion and Recommendations: It recommends increasing awareness campaigns and providing educational programs to improve knowledge and practices.

关键词： Assessment Breast Cancer Prevention Practices Women Attending Health Care Centers Abha City

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A Theoretical Investigation of the SARS-CoV-2Model via Fractional Order Epidemiological Model

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Computer Modeling in Engineering & Sciences 2023年第5期135卷 1295-1313页

作者： Tahir Khan Rahman Ullah Thabet Abdeljawad Manar A.Alqudah faizullah faiz Department of Mathematics and Statistics Woman UniversitySwabiKhyber Pakhtunkhwa23501Pakistan Department of Mathematics and Sciences Prince Sultan UniversityRiyadh11586Saudi Arabia Department of Medical Research China Medical UniversityTaichung40402Taiwan Department of Mathematical Sciences Faculty of SciencesPrincess Nourah Bint Abdulrahman UniversityP.O.Box 84428Riyadh11671Saudi Arabia Department of Basic Sciences and Humanities College of Electrical and Mechanical EngineeringNational University of Sciences and Technology(NUST)Islamabad44320Pakistan

We propose a theoretical study investigating the spread of the novel coronavirus(COVID-19)reported inWuhan City of China in *** develop a mathematical model based on the novel corona virus’s characteristics and then use fractional calculus to fractionalize *** fractional order epidemicmodels have been formulated and analyzed using a number of iterative and numerical approacheswhile the complications arise due to singular *** use the well-known Caputo-Fabrizio operator for the purposes of fictionalization because this operator is based on the non-singular ***,to analyze the existence and uniqueness,we will use the well-known fixed point *** also prove that the considered model has positive and bounded *** also draw some numerical simulations to verify the theoretical work via graphical *** believe that the proposed epidemic model will be helpful for health officials to take some positive steps to control contagious diseases.

关键词： Fractional epidemiological model for corona virus disease caputo-fabrizio operator numerical simulation

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Innovative Fungal Disease Diagnosis System Using Convolutional Neural Network

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Computers, Materials & Continua 2022年第12期73卷 4869-4883页

作者： Tahir Alyas Khalid Alissa Abdul Salam Mohammad Shazia Asif Tauqeer faiz Gulzar Ahmed Department of Computer Science Lahore Garrison UniversityLahore54000Pakistan Networks and Communications Department College of Computer Science and Information TechnologyImam Abdulrahman Bin Faisal UniversityP.O.Box 1982Dammam31441Saudi Arabia Department of General Education Skyline University CollegeUniversity City of SharjahUAE Higher Colleges of Technology Abu DhabiUAE Department of Enterprise Computing Skyline University CollegeSharjahUAE Department of Computer Science University of South AsiaLahore54000Pakistan

Fungal disease affects more than a billion people worldwide,resulting in different types of fungus diseases facing life-threatening *** outer layer of your body is called the integumentary *** skin,hair,nails,and glands are all part of *** organs and tissues serve as your first line of defence against bacteria while protecting you from harm and the *** It serves as a barrier between the outside world and the regulated environment inside our bodies and a regulating ***,light,damage,and illness are all protected by ***-caused infections are found in almost every part of the natural *** an invasive fungus takes over a body region and overwhelms the immune system,it causes fungal infections in *** primary goal of this study was to create a Convolutional Neural Network(CNN)-based technique for detecting and classifying various types of fungal *** are numerous fungal illnesses,but only two have been identified and classified using the proposed Innovative Fungal Disease Diagnosis(IFDD)system of Candidiasis and Tinea *** paper aims to detect infected skin issues and provide treatment recommendations based on proposed system *** identify and categorize fungal infections,deep machine learning techniques are utilized.A CNN architecture was created,and it produced a promising outcome to improve the proposed system *** collected findings demonstrated that CNN might be used to identify and classify numerous species of fungal spores early and estimate all conceivable fungus *** CNN-Based can detect fungal diseases through medical images;earmarked IFDD system has a predictive performance of 99.6%accuracy.

关键词： Deep machine learning CNN ReLU skin disease fungal

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Game Theory-Based IoT Efficient Power Control in Cognitive UAV

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Computers, Materials & Continua 2022年第7期72卷 1561-1578页

作者： Fadhil Mukhlif Norafida Ithnin Omar B.Abdulghafoor faiz Alotaibi Nourah Saad Alotaibi Information Assurance and Security Research Group(IASRG) School of ComputingFaculty of EngineeringUniversiti Teknologi MalaysiaJohorMalaysia Electronic and Telecommunication Department College of EngineeringThe American University of KurdistanIraq Faculty of Computer Science and Information Technology Universiti Putra MalaysiaSelangorMalaysia Computer Department Faculty of Applied CollegeImam Abdulrahman Bin Faisal UniversityDammamSaudi Arabia

With the help of network densification,network coverage as well as the throughput can be improved via ultra-dense networks(UDNs).In tandem,Unmanned Aerial Vehicle(UAV)communications have recently garnered much attention because of their high agility as well as widespread *** this paper,a cognitive UAV is proposed for wireless nodes power pertaining to the IoT ground ***,the UAV is included in the IoT system as the source of power for the wireless nodes as well as for resource *** quality of service(QoS)related to the cognitive node was considered as a utility function based on pricing scheme that was modelled as a non-cooperative game theory in order to maximise users’net utility ***,an energy efficiency non-cooperative game theory power allocation with pricing scheme(EE-NGPAP)is proposed to obtain an efficient power control within IoT wireless ***,uniqueness and existence of the Nash equilibrium have been demonstrated mathematically and through *** results show that the proposed energy harvest algorithm demonstrated considerable decrease in transmitted power consumption in terms of average power reduction,which is regarded to be apt with the 5Gnetworks’***,the proposed algorithm requires around 4 iterations only to converge to NE which makes the algorithm more suitable in practical heterogeneous scenarios.

关键词： UAV drones WSN IoT game theory energy efficiency 5G&B5G networks

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