Hector J. Castro

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 data-driven machine learning models to predict such complications in 352 post-COVID-19 patients from Iraq. Clinical data, including demographics, comorbidities, lab results, and imaging, were collected and used to construct predictive models. These models, leveraging various machine learning algorithms, demonstrated commendable performance in identifying patients at risk. Early detection through these models promises timely interventions and improved outcomes. In conclusion, this research underscores the potential of data-driven machine learning for predicting post-COVID-19 cardiovascular complications, emphasizing the need for continued validation and research in diverse clinical settings.

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 to analyse and predict multi-organ dysfunction in individuals experiencing Post-COVID-19 Syndrome, commonly known as Long COVID. Post-COVID-19 Syndrome presents a wide array of persistent symptoms affecting various organ systems, posing a significant challenge to healthcare. Leveraging the power of artificial intelligence, this study aims to enhance early detection and management of this complex condition. The paper outlines the importance of data collection and preprocessing, feature selection and engineering, model development and validation, and ethical considerations in conducting research in this field. By improving our understanding of Post-COVID-19 Syndrome through machine learning, healthcare providers can identify at-risk individuals and offer timely interventions, potentially improving patient outcomes and quality of life. Further research is essential to refine models, validate their clinical utility, and explore treatment options for Long COVID. Keywords: Post-COVID-19 Syndrome, Machine Learning, Multi-Organ Dysfunction, Healthcare, Artificial Intelligence.