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Fully Automatic Segmentation of Gynaecological Abnormality Using a New Viola–Jones Model

Computers, Materials & Continua 2021年第3期66卷 3161-3182页

作者： Ihsan Jasim Hussein M.A.Burhanuddin Mazin Abed Mohammed Mohamed Elhoseny Begonya Garcia-Zapirain marwah suliman maashi Mashael S.maashi BIOCORE Research Group Universiti Teknikal Malaysia MelakaMelaka76100Malaysia Director of UTeM International Centre BIOCORE Research GroupUniversiti Teknikal Malaysia MelakaMelaka76100Malaysia College of Computer Science and Information Technology University of AnbarRamadi31001Iraq Department of Computer Science College of Computer Information TechnologyAmerican University in the Emirates503000United Arab Emirates eVIDA Laboratory University of DeustoBilbao48007Spain Medical Laboratory Science Department King Abdulaziz UniversityJeddah21589Saudi Arabia Software Engineering Department College of Computer and Information SciencesKing Saud UniversityRiyadh11451Saudi Arabia

One of the most complex tasks for computer-aided diagnosis(Intelligent decision support system)is the segmentation of ***,this study proposes a new fully automated method for the segmentation of ovarian and breast ultrasound *** main contributions of this research is the development of a novel Viola–James model capable of segmenting the ultrasound images of breast and ovarian cancer *** addition,proposed an approach that can efficiently generate region-of-interest(ROI)and new features that can be used in characterizing lesion *** study uses two databases in training and testing the proposed segmentation *** breast cancer database contains 250 images,while that of the ovarian tumor has 100 images obtained from several hospitals in *** of the experiments showed that the proposed approach demonstrates better performance compared with those of other segmentation methods used for segmenting breast and ovarian ultrasound *** segmentation result of the proposed system compared with the other existing techniques in the breast cancer data set was 78.8%.By contrast,the segmentation result of the proposed system in the ovarian tumor data set was 79.2%.In the classification results,we achieved 95.43%accuracy,92.20%sensitivity,and 97.5%specificity when we used the breast cancer data *** the ovarian tumor data set,we achieved 94.84%accuracy,96.96%sensitivity,and 90.32%specificity.

关键词： Viola-Jones model breast cancer segmentation ovarian tumor ovarian tumor segmentation breast cancer ultrasound images active contour cascade model

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MicroRNAs and JAK/STAT3 signaling:A new promising therapeutic axis in blood cancers

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Genes & Diseases 2022年第4期9卷 849-867页

作者： Mehdi Sajjadi-Dokht Talar Ahmad Merza Mohamad Heshu Sulaiman Rahman marwah suliman maashi Svetlana Danshina Navid Shomali Saeed Solali Faroogh Marofi Elham Zeinalzadeh Morteza Akbari Ali Adili Ramin Aslaminabad Majid Farshdousti Hagh Mostafa Jarahian Immunology Research Center Tabriz University of Medical SciencesTabriz ***Iran Department of Pharmacology College of PharmacyHawler Medical UniversityErbil 44001Iraq Department of Physiology College of MedicineUniversity of SulaymaniyahSulaymaniyah 46001Iraq Department of Medical Laboratory Sciences Komar University of Science and TechnologySulaymaniyah 46002Iraq Department of Propaedeutics of Dental Diseases I.M.Sechenov First Moscow State Medical UniversityMoscow 119991Russia Department of Immunology Faculty of MedicineTabriz University of Medical SciencesTabriz ***Iran Department of Oncology Tabriz University of Medical SciencesTabriz ***Iran German Cancer Research Center(DKFZ) Toxicology and Chemotherapy Unit(G401)Heidelberg 69120Germany Stem Cells and Regenerative Medicine Unit at King Fahad Medical Research Centre Jeddah 21589Saudi Arabia

Blood disorders include a wide spectrum of blood-associated malignancies resulting from inherited or acquired *** ineffectiveness of existing therapies against blood disorders arises from different reasons,one of which is drug resistance,so different types of leukemia may show different responses to *** occurs for a variety of genetic and acquired reasons,leading to uncontrolled proliferation in one or more cell *** the genetic defects,oncogene signal transducer and activator of transcription(STAT)family transcription factor,especially STAT3,play an essential role in hematological disorders onset and progress upon mutations,dysfunction,or ***,microRNAs,as biological molecules,has been shown to play a dual role in either tumorigenesis and tumor suppression in various ***,a strong association between STAT3 and miRNA has been *** example,miRNAs can regulate STAT3 via targeting its upstream mediators such as IL6,IL9,and JAKs or directly binding to the STAT3 *** the other hand,STAT3 can regulate *** this review study,we aimed to determine the role of either microRNAs and STAT3 along with their effect on one another's activity and function in hematological malignancies.

关键词： Interleukin JAKs Leukemia miRNAs STAT3

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A New Multi-Agent Feature Wrapper Machine Learning Approach for Heart Disease Diagnosis

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Computers, Materials & Continua 2021年第4期67卷 51-71页

作者： Mohamed Elhoseny Mazin Abed Mohammed Salama A.Mostafa Karrar Hameed Abdulkareem Mashael S.maashi Begonya Garcia-Zapirain Ammar Awad Mutlag marwah suliman maashi Department of Computer Science College of Computer Information TechnologyAmerican University in the Emirates503000United Arab Emirates College of Computer Science and Information Technology University of AnbarRamadi31001Iraq Faculty of Computer Science and Information Technology Universiti Tun Hussein Onn MalaysiaJohor86400Malaysia College of Agriculture Al-Muthanna UniversitySamawah66001Iraq Department of Software Engineering College of Computer and Information SciencesKing Saud UniversityRiyadh11451Saudi Arabia eVIDA Lab University of DeustoBilbao48007Spain Department of Pure Science Ministry of EducationGeneral Directorate of CurriculaBaghdadIraq Department of Medical Laboratory Science Faculty of Applied Medical ScienceKing Abdulaziz UniversityJeddah21589Saudi Arabia

Heart disease(HD)is a serious widespread life-threatening *** heart of patients with HD fails to pump sufcient amounts of blood to the entire *** the occurrence of HD early and efciently may prevent the manifestation of the debilitating effects of this disease and aid in its effective *** methods for diagnosing HD are sometimes unreliable and insufcient in analyzing the related *** an alternative,noninvasive medical procedures based on machine learning(ML)methods provide reliable HD diagnosis and efcient prediction of HD ***,the existing models of automated ML-based HD diagnostic methods cannot satisfy clinical evaluation criteria because of their inability to recognize anomalies in extracted symptoms represented as classication features from patients with *** this study,we propose an automated heart disease diagnosis(AHDD)system that integrates a binary convolutional neural network(CNN)with a new multi-agent feature wrapper(MAFW)*** MAFW model consists of four software agents that operate a genetic algorithm(GA),a support vector machine(SVM),and Naïve Bayes(NB).The agents instruct the GA to perform a global search on HD features and adjust the weights of SVM and BN during initial classication.A nal tuning to CNN is then performed to ensure that the best set of features are included in HD *** CNN consists of ve layers that categorize patients as healthy or with HD according to the analysis of optimized HD *** evaluate the classication performance of the proposed AHDD system via 12 common ML techniques and conventional CNN models by using across-validation technique and by assessing six evaluation *** AHDD system achieves the highest accuracy of 90.1%,whereas the other ML and conventional CNN models attain only 72.3%–83.8%accuracy on ***,the AHDD system proposed herein has the highest capability to identify patients with *** system can be used by medical

关键词： Heart disease machine learning multi-agent feature wrapper model heart disease diagnosis HD cleveland datasets convolutional neural network

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The home healthcare nursing services provided to the elderly patients: a systematic review

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Nursing Communications 2022年第1期6卷 200-208页

作者： marwah suliman Aljohani Moodhi Neda Bashe r Alazimi Nahed Mohamed Saied Ayoub Faculty of Nursing Umm Al-Qura UniversityMakkah 24382Saudi Arabia.

Background:Home healthcare(HHC)services entail quality and transitional care offered to *** recommend HHC to the elderly patients to manage conditions and improve outcomes outside inpatient *** systematic review aimed to assess the home health care nurse services to elderly *** question of this study is“what are the home nursing care services provided to the elderly ***:A systematic review methodology was adopted.A search was conducted on PubMed,MEDLINE,and ScienceDirect using keywords such as“home healthcare”,“nurse services”,“home nurses”,“elderly patients”.The search generated 1829 articles,but 16 were selected for qualitative synthesis for meeting the eligibility *** Briggs Institute’s critical appraisal tools helped in the assessment of the primary studies.A data extraction matrix generated themes,while a narrative synthesis presented the ***:The review found administration of HHC nursing services in different *** studies confirmed varied nature of HHC,types of HHC services,transitional care,challenges,or barriers of offering HHC,relationships,and decision-making process in offering care to the patients and *** studies presented HHC as a multifaceted component with diverse impact on the patients and *** analysis revealed that HHC nurses services served elderly persons as the main target *** faces different challenges,barriers,or obstacles such as work,role conflict,organization,elderly patients,and *** and Future Research:The assessment of the HHC nursing services provided to the elderly patients reveals different facets of the healthcare process that reduce readmissions and hospital *** studies could explore the provision of care to other target groups such as middle-aged patients to understand the impact of the services.

关键词： home healthcare services readmissions costs elderly patients transitional care

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Caring psychiatric patients and its impact on nurses’behavior:a cross-sectional quantitative method study in Saudi Arabia

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Nursing Communications 2023年第14期7卷 1-7页

作者： Faten Mohammed Islam Khotany Najla Eid Alharbi Ghadeer Hassan Mahdi Moodhi Neda Basher Alazimi Hajer Marei Mahammed Rabaiy Aisha Ayesh Alotaibi Nawar Aqeel Alrashidi marwah suliman Aljohani Fatimah Ahmed Alhazemi Ghazaile Jameel Khayat Samirah Ali Kaddaf Laila Hussien Hakami Saeed Atiah Almalki Abdulaziz Mohammad Islam Khotani Feryal Mohammad Islam Kotany Mofreh Alsahil Alruwaili Makkah Health Cluster Makkah regionAl Hamra street 7853Saudi Arabia Deputy of Nursing supervisor Aljamoum Health SectorMakkahSaudi Arabia Sabya General Hospital South regionJazanSaudi Arabia Community Health Nursing Primary Health CareAlqaseemUnizahSaudi Arabia Department of Nursing Jeddah King Abdullah Medical ComplexWestern regionSaudi Arabia Nursing supervisor of PHCs in Aljamoum Health Sector MakkahSaudi Arabia Department of Nursing Khafji General HospitalEastern regionSaudi Arabia Department of Nursing Forensic MedicineWestern regionMadinahSaudi Arabia South region-Jazan Dental Centre JazanSaudi Arabia King Fahad Hospital MakkahSaudi Arabia Department of Nursing Primary Care Health Center in Al RashidiyaWestern regionMakkahSaudi Arabia OBGYNE and Paediatric supervisor at Jazan General Hospital Jizan citySaudi Arabia Erada and Mental Health Complex TaifMecca regionSaudi Arabia Makkah Health Cluster MHCSaudi Arabia Makkah Health Cluster PHCSaudi Arabia Ministry of Health/Aljouf Health Affairs Sakaka AljoufQara-Alsalam 5108Saudi Arabia.

Objective:The present study aimed to address the care of psychiatric patients and its impact on nurses’behavior in Saudi ***:A cross-sectional quantitative questionnaire-based study was *** study was carried out in various government hospitals across different regions of Saudi ***:A total of 73 nurses participated in the study,with male nurses comprising the majority(61.6%)compared to *** a young nurse or with few years of work experience is linked with more predilection towards preventive behaviour and/or physical activity.A significant mean difference was observed,indicating higher scores for preventive behavior among females(female 14.93±5.82 *** 11.56±5.48,P=0.015).The Bonferroni post hoc multiple comparisons did not reveal any statistical significance for single ***(P=0.618),single ***(P=0.223),and married ***(P=0.020).Conclusion:The study results demonstrated a significant impact of caring for psychiatric patients on nurses’*** is concerning because psychological and mental health strain has been shown to contribute to unhealthy lifestyle habits,such as physical inactivity and sleep deprivation,which,in turn,can contribute to the increasing incidence and prevalence of chronic *** interventions targeting psychiatric and mental health nurses should be designed and examined to emphasize the importance of healthy lifestyle choices and an active lifestyle.

关键词： nurses psychiatric patients behaviour Saudi Arabia

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