Zobrazeno 1 - 10
of 151
pro vyhledávání: '"Abdullah Alanazi"'
Publikováno v:
Journal of Medical Education and Curricular Development, Vol 10 (2023)
OBJECTIVES The demand for orthopedic surgery is expected to increase as the Saudi population grows and ages. Therefore, this study aimed to assess the interest of medical students and interns in orthopedic surgery and the factors that influence their
Externí odkaz:
https://doaj.org/article/dcaa8aa197684a9291af475d3db3d984
Autor:
Zainab Alradhi, Abdullah Alanazi
Publikováno v:
Healthcare, Vol 11, Iss 20, p 2716 (2023)
Healthcare providers use revenue cycle management (RCM) to track patient billing and revenue. The revenue cycle collects data from various systems and compiles it into a single RCM system connected to payers. Effective system integration improves rev
Externí odkaz:
https://doaj.org/article/403a56fb88f54e5d97496fcf163bf056
Autor:
Eman Nabrawi, Abdullah Alanazi
Publikováno v:
Risks, Vol 11, Iss 9, p 160 (2023)
Healthcare fraud is intentionally submitting false claims or producing misinterpretation of facts to obtain entitlement payments. Thus, it wastes healthcare financial resources and increases healthcare costs. Subsequently, fraud poses a substantial f
Externí odkaz:
https://doaj.org/article/7dde5126de7f43549f563b001efd5180
Autor:
Nouf Alshehri, Abdullah Alanazi
Publikováno v:
Pharmacy, Vol 11, Iss 4, p 119 (2023)
Electronic Drug Alarms and Drug Utilization Reviews (DURs) are crucial in improving patient safety by reducing the dispensing of contraindicated medications and minimizing adverse drug events. The DUR system often generates low-level alerts, making i
Externí odkaz:
https://doaj.org/article/328f6a9f0cf24d548e1b39daf37aac9a
Publikováno v:
Medicina, Vol 59, Iss 7, p 1276 (2023)
Background and Objectives: Early detection of sepsis is crucial and can save lives. However, identifying sepsis early and accurately remains a difficult task in the medical field. This study aims to investigate a new machine-learning approach. By ana
Externí odkaz:
https://doaj.org/article/fa5a0cdda52a42328acdb5989c1ab1e0
Autor:
Sultan Alshehri, Syed Sarim Imam, Afzal Hussain, Mohammad A. Altamimi, Nabil K. Alruwaili, Fahad Alotaibi, Abdullah Alanazi, Faiyaz Shakeel
Publikováno v:
Drug Delivery, Vol 27, Iss 1, Pp 1625-1643 (2020)
In the last few decades, solid dispersion (SD) technology had been studied as an approach to produce an amorphous carrier to enhance the solubility, dissolution rate, and bioavailability of poorly water-soluble drugs. The use of suitable carrier and
Externí odkaz:
https://doaj.org/article/a79bbe7b482249fbb490f40b2a353962
Autor:
Abdullah Alanazi
Publikováno v:
Informatics in Medicine Unlocked, Vol 30, Iss , Pp 100924- (2022)
Machine learning (ML) and its applications in healthcare have gained a lot of attention. When enhanced computational power is combined with big data, there is an opportunity to use ML algorithms to improve health care. Supervised learning is the type
Externí odkaz:
https://doaj.org/article/810ae137254c46de8deb432539aaa3fa
Autor:
Sarah Alsuyayfi, Abdullah Alanazi
Publikováno v:
Informatics in Medicine Unlocked, Vol 32, Iss , Pp 101047- (2022)
Introduction: Technology has been tremendously helpful for healthcare professionals in various ways, such as vital signs monitoring, medication administration, and ventilation. However, with the proliferation of technology and sensors, nurses are fac
Externí odkaz:
https://doaj.org/article/e15e14cd024c452c8bcce581b38b209f
Publikováno v:
Healthcare, Vol 11, Iss 2, p 266 (2023)
Introduction: Information technology is vital to support dental care services and is yet to be thoroughly investigated. This study aims to assess the dentists’ needs and requirements for health records from dental care providers’ perspectives. Me
Externí odkaz:
https://doaj.org/article/80eaa595c633497eb38f33bd730fdbab
Autor:
Man-Wen Tian, Khalid Alattas, Fayez El-Sousy, Abdullah Alanazi, Ardashir Mohammadzadeh, Jafar Tavoosi, Saleh Mobayen, Paweł Skruch
Publikováno v:
Energies, Vol 15, Iss 9, p 3034 (2022)
In this study, we present a new approach for load forecasting (LF) using a recurrent fuzzy neural network (RFNN) for Kermanshah City. Imagine if there is a need for electricity in a region in the coming years, we will have to build a power plant or r
Externí odkaz:
https://doaj.org/article/2dc408515297490a8433d3a3c3f989a5