14 citations · 61 across the 15 of their papers we have counts for
15 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…
Cognizance of Post-COVID-19 Multi-Organ Dysfunction through Machine Learning Analysis
Hector J. Castro, Maitham G. Yousif
In the year 2022, a total of 466 patients from various cities across Iraq were included in this study. This research paper focuses on the application of machine learning techniques…
Predicting Cardiovascular Complications in Post-COVID-19 Patients Using Data-Driven Machine Learning Models
Maitham G. Yousif, Hector J. Castro
The COVID-19 pandemic has globally posed numerous health challenges, notably the emergence of post-COVID-19 cardiovascular complications. This study addresses this by utilizing dat…
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…