Hani N. Mufti

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

Alyaa Elhazmi, Awad Al‐Omari, Hend Sallam et al. · Journal of Infection and Public Health · 2022 · 91 citations · Full text

Implementation of new ECMO centers during the COVID-19 pandemic: experience and results from the Middle East and India

Ahmed A. Rabie, Mohamed H. Azzam, Abdulrahman Al‐Fares et al. · Intensive Care Medicine · 2021 · 76 citations · Full text

Global Health, Global Health Crisis, Covid-19 Pandemic +6

Exploiting Machine Learning Algorithms and Methods for the Prediction of Agitated Delirium After Cardiac Surgery: Models Development and Validation Study

Hani N. Mufti, Gregory M. Hirsch, Samina Abidi et al. · JMIR Medical Informatics · 2019 · 67 citations · Full text

Perioperative prediction of agitated (hyperactive) delirium after cardiac surgery in adults – The development of a practical scorecard

Hani N. Mufti, Gregory M. Hirsch · Journal of Critical Care · 2017 · 35 citations

Cardiac Surgery, Adult Cardiac Surgery, Cardiothoracic Surgery +13

Psychological Effects on Health Science Students After Implementation of COVID-19 Quarantine and Distance Learning in Saudi Arabia

Sultan Qanash, Faisal Al-Husayni, Shereen Alemam et al. · Cureus · 2020 · 22 citations · Full text

Novel Coronavirus Disease, Saudi Arabia, Educational Psychology +21