Zobrazeno 1 - 10
of 31
pro vyhledávání: '"Mohammad A Alghafees"'
Autor:
Dalal A Aldihan, Mohammad A Alghafees, Rana O Alharbi, Raghad S Allahidan, Razan H AlOmar, Areej F Alenazi, Ihab F Suliman
Publikováno v:
Journal of Nature and Science of Medicine, Vol 4, Iss 1, Pp 64-68 (2021)
Background: Readmissions remain a persistent challenge in the care process of heart failure (HF). This study aimed to assess the 30 and 90-day readmission rates of HF and the associated risk factors. Materials and Methods: This retrospective cohort s
Externí odkaz:
https://doaj.org/article/1e0d2110a7dc4affa71301a444be5821
Autor:
Yahya G. Ghazwani, Saeed M. Bin Hamri, Khalid A. Alrabeeah, Abdullah M. Alkhayal, Bader H. Alsaikhan, Turki Ahmed Alferayan, Omar Badr Alfraidi, Faisal Khalid Balaraj, Mohammad A. Alghafees, Abdullah A. Al Qurashi, Yasser A. Noureldin
Publikováno v:
Urology Annals, Vol 16, Iss 2, Pp 146-149 (2024)
Background: Renal forniceal rupture (FR) is a unique complication of obstructive uropathy. This study aimed to identify the predictors of FR among patients presenting with renal colic due to obstructing ureteral calculi. Materials and Methods: After
Externí odkaz:
https://doaj.org/article/bc82ba1932824bfca36526d9beb9c844
Autor:
Mohammad Ali Alghafees, Abdullah Abdulmomen, Mahmoud Eid, Ghadah Ibrahim Alhussin, Mohammed Qasem Alosaimi, Ghadah Saad Alduhaimi, Mohammed Talal Albogami, Mohammed Alhelail
Publikováno v:
Annals of Saudi Medicine, Vol 42, Iss 1, Pp 36-44 (2022)
BACKGROUND: Acute poisoning is a major contributing factor to mortality and morbidity. There is a lack of research on the epidemiology of acute poisoning risk factors in Saudi Arabia. OBJECTIVES: Descriptive overview of poisoning cases at a tertiary
Externí odkaz:
https://doaj.org/article/173e35f6210e4300b549a1df73a32142
Publikováno v:
Annals of Saudi Medicine, Vol 42, Iss 1, Pp 17-28 (2022)
BACKGROUND: Our understanding of the risk factors, prevalence, incidence rate, and age distribution of bladder cancer (BC) in Saudi Arabia is insufficient due to limited data. OBJECTIVE: Describe the epidemiology and analyze factors associated with s
Externí odkaz:
https://doaj.org/article/ce8f6d2090384f4fb30fe2be357eb1bd
Autor:
Mohammad A. Alghafees, MBBS, Noura A. Alsubaie, MBBS, Linah K. Alsadoon, MBBS, Salman A. Aljafari, MBBS, Eyad A. Alshehri, MBBS, Ihab F. Suliman, FESC
Publikováno v:
Journal of Taibah University Medical Sciences, Vol 15, Iss 4, Pp 292-297 (2020)
الملخص: أهداف البحث: تهدف هذه الدراسة إلى قياس نسب إعادة التنويم للمرضى بعد عملية الشريان التاجي خلال ٣٠ يوم، ودراسة العوامل المؤدية لذلك
Externí odkaz:
https://doaj.org/article/e0f6e1324e354599b61fd399165db188
Autor:
Belal N Sabbah, Abdulaziz Alathel, Mohammad A Alghafees, Ahmad N Sabbah, Omar Alfraidi, Naif Althonayan, Mohammed Shareef, Abdullah Alkhayal, Saad Abumelha
Publikováno v:
Cureus.
Autor:
Yasser A. Noureldin, Muhannad Q. Alqirnas, Meshal F. Aljarallah, Omar B Alfraidi, Mohammad A. Alghafees, Yahia Ghazwani, Abdullah Alkhayal
Publikováno v:
Arab journal of urology. 20(4)
Testicular cancer (TC) is one of the most curable solid malignancies affecting young adults. The objective of this study was to identify factors affecting survival of Saudi adults who were diagnosed with testicular cancer over 10 years.This was a ret
Autor:
Yahya, Ghazwani, Rakan, Aldarrab, Mohammad A, Alghafees, Saeed, Bin Hamri, Khalid, Alrabeeah, Abdullah, Alkhayal, Fisal T, Aldokhel, Abdulrahman K, Alageel, Mohammed K, Alageel, Mohammed Q, Alosiami, Almohannad K, Alqarni, Yasser A, Noureldin
Publikováno v:
Cureus.
Introduction The COVID-19 pandemic represents an unprecedented challenge for healthcare systems around the world. Saudi Arabia was one of the first countries to experience a lockdown and postponement of elective surgical procedures. The objective of
Autor:
Mohammad A. Alghafees, Saleha Abdul Rab, Abdulaziz S. Aljurayyad, Tariq S. Alotaibi, Belal Nedal Sabbah, Raouf M. Seyam, Lama H. Aldosari, Mohammad A. Alomar
Publikováno v:
Annals of medicine and surgery (2012). 84
Machine learning techniques have been used extensively in the field of clinical medicine, especially when used for the construction of prediction models. The aim of the study was to use machine learning to predict the stone-free status after percutan
Background: Traffic accidents (TA) are one of the leading causes of mortality in Saudi Arabia. Despite the state efforts to combat this issue, a dearth of knowledge on TA's spatial and temporal patterns in Saudi Arabia is present.This study aims to d
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::d5ba3a96d3360e92dbbb701f710e4876
https://doi.org/10.21203/rs.3.rs-1727329/v1
https://doi.org/10.21203/rs.3.rs-1727329/v1