Aisha Alansari

A novel stacking ensemble for detecting three types of diabetes mellitus using a Saudi Arabian dataset: Pre-diabetes, T1DM, and T2DM

Mohammed Gollapalli, Aisha Alansari, Heba Alkhorasani et al. · Computers in Biology and Medicine · 2022 · 95 citations · Full text

Medicine, Biomedical Informatics, Health Informatics +15

Prediction of generalized anxiety levels during the Covid-19 pandemic: A machine learning-based modeling approach

Faisal Albagmi, Aisha Alansari, Deema AL Shawan et al. · Informatics in Medicine Unlocked · 2022 · 48 citations · Full text

Computing, Health Sciences, Psychiatry +17

Anomaly Detection Using Explainable Random Forest for the Prediction of Undesirable Events in Oil Wells

Nida Aslam, Irfan Ullah Khan, Aisha Alansari et al. · Applied Computational Intelligence and Soft Computing · 2022 · 41 citations · Full text

Computing, Computer Science, Petroleum Engineering +15

Comprehensible Machine-Learning-Based Models for the Pre-Emptive Diagnosis of Multiple Sclerosis Using Clinical Data: A Retrospective Study in the Eastern Province of Saudi Arabia

Sunday O. Olatunji, Nawal Alsheikh, Lujain Alnajrani et al. · International Journal of Environmental Research and Public Health · 2023 · 28 citations · Full text

Life Sciences, Neurology, Neuroscience +16

Explainable Ensemble-Based Machine Learning Models for Detecting the Presence of Cirrhosis in Hepatitis C Patients

Abrar Alotaibi, Lujain Alnajrani, Nawal Alsheikh et al. · Computation · 2023 · 24 citations · Full text

Computing, Computer Science, Infectious Diseases +17