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…
Automated Detection of Persistent Inflammatory Biomarkers in Post-COVID-19 Patients Using Machine Learning Techniques
Ghizal Fatima, Fadhil G. Al-Amran, Maitham G. Yousif
The COVID-19 pandemic has left a lasting impact on individuals, with many experiencing persistent symptoms, including inflammation, in the post-acute phase of the disease. Detectin…
Characterizing Pulmonary Fibrosis Patterns in Post-COVID-19 Patients through Machine Learning Algorithms
John Martin, Hayder A. Albaqer, Fadhil G. Al-Amran +3
The COVID-19 pandemic has left a lasting impact on global healthcare systems, with increasing evidence of pulmonary fibrosis emerging as a post-infection complication. This study p…
Long-term Neurological Sequelae in Post-COVID-19 Patients: A Machine Learning Approach to Predict Outcomes
Hayder A. Albaqer, Kadhum J. Al-Jibouri, John Martin +3
The COVID-19 pandemic has brought to light a concerning aspect of long-term neurological complications in post-recovery patients. This study delved into the investigation of such n…
Prevalence and Associated Factors of Human Papillomavirus Infection among Iraqi Women
Maitham G. Yousif, Fadhil G. Al-Amran, Alaa M. Sadeq +1
Human papillomavirus (HPV) is a significant public health concern, as it is a leading cause of cervical cancer in women. However, data on the prevalence of HPV infection among Iraq…