14 citations · 37 across the 10 of their papers we have counts for
10 papers
Unraveling Post-COVID-19 Immune Dysregulation Using Machine Learning-based Immunophenotyping
Maitham G. Yousif, Ghizal Fatima, Hector J. Castro +2
The COVID-19 pandemic has left a significant mark on global healthcare, with many individuals experiencing lingering symptoms long after recovering from the acute phase of the dise…
Predicting Long-term Renal Impairment in Post-COVID-19 Patients with Machine Learning Algorithms
Maitham G. Yousif, Hector J. Castro, John Martin +4
The COVID-19 pandemic has had far-reaching implications for global public health. As we continue to grapple with its consequences, it becomes increasingly clear that post-COVID-19…
Machine Learning-driven Analysis of Gastrointestinal Symptoms in Post-COVID-19 Patients
Maitham G. Yousif, Fadhil G. Al-Amran, Salman Rawaf +1
The COVID-19 pandemic, caused by the novel coronavirus SARS-CoV-2, has posed significant health challenges worldwide. While respiratory symptoms have been the primary focus, emergi…
Identifying Risk Factors for Post-COVID-19 Mental Health Disorders: A Machine Learning Perspective
Maitham G. Yousif, Fadhil G. Al-Amran, Hector J. Castro
In this study, we leveraged machine learning techniques to identify risk factors associated with post-COVID-19 mental health disorders. Our analysis, based on data collected from 6…
Early Detection of Post-COVID-19 Fatigue Syndrome Using Deep Learning Models
Fadhil G. Al-Amran, Salman Rawaf, Maitham G. Yousif
The research titled "Early Detection of Post-COVID-19 Fatigue Syndrome using Deep Learning Models" addresses a pressing concern arising from the COVID-19 pandemic. Post-COVID-19 Fa…
Genomic Analysis and Artificial Intelligence: Predicting Viral Mutations and Future Pandemics
Fadhil G. Al-Amran, Abbas M. Hezam, Salman Rawaf +1
This study presents a novel approach at the intersection of genomic analysis and artificial intelligence (AI) to predict viral mutations and assess the risks of future pandemics. T…