Adnan Alghamdi

Machine learning decision tree algorithm role for predicting mortality in critically ill adult COVID-19 patients admitted to the ICU

Y. Arabi, J. Al-Tawfiq, Awad Al-omari, 2022, Journal of Infection and Public Health.

Impact of a national collaborative project to improve the care of mechanically ventilated patients

S. Berenholtz, A. Alqahtani, Y. Arabi, 2023, PloS one.

Predictors of Mortality Using Machine Learning Decision Tree Algorithm in Critically Ill Adult Patients with COVID-19 Admitted to the ICU.

Y. Arabi, J. Al-Tawfiq, Waleed Al-Hazzani, 2021 .

Transplant-related strongyloidiasis in solid organ transplant recipients in Saudi Arabia and the GCC countries.

F. Elzein, M. Alsaeed, Adnan Alghamdi, 2020, International journal of infectious diseases : IJID : official publication of the International Society for Infectious Diseases.

Replacing protein via enteral nutrition in a stepwise approach in critically ill patients: A pilot randomized controlled trial (REPLENISH pilot trial).

G. Rasool, Y. Arabi, H. Tamim, 2021, Clinical nutrition ESPEN.

Incidence, outcomes, and predictors of Acinetobacter infection in Saudi Arabian critical care units.

Y. Arabi, F. Al-Hameed, A. Kharaba, 2021, Journal of critical care.

Replacing protein via enteral nutrition in a stepwise approach in critically ill patients: the REPLENISH randomized clinical trial protocol

Mohammed S. Alhumaid, J. Preiser, G. Rasool, 2023, Trials.

Acute Hemolytic Anemia Following Semaglutide Injection: A Case Report

Adnan Alghamdi, Majed Mohammed Al Saleh, A. Algarni, 2022, World Family Medicine Journal /Middle East Journal of Family Medicine.