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In the year 2022, a total of 466 patients from various cities across Iraqwere included in this study. This research paper focuses on the application ofmachine learning techniques to analyse and predict multi-organ dysfunction inindividuals experiencing Post-COVID-19 Syndrome, commonly known as Long COVID.Post-COVID-19 Syndrome presents a wide array of persistent symptoms affectingvarious organ systems, posing a significant challenge to healthcare. Leveragingthe power of artificial intelligence, this study aims to enhance earlydetection and management of this complex condition. The paper outlines theimportance of data collection and preprocessing, feature selection andengineering, model development and validation, and ethical considerations inconducting research in this field. By improving our understanding ofPost-COVID-19 Syndrome through machine learning, healthcare providers canidentify at-risk individuals and offer timely interventions, potentiallyimproving patient outcomes and quality of life. Further research is essentialto refine models, validate their clinical utility, and explore treatmentoptions for Long COVID. Keywords: Post-COVID-19 Syndrome, Machine Learning,Multi-Organ Dysfunction, Healthcare, Artificial Intelligence.

Cognizance of Post-COVID-19 Multi-Organ Dysfunction through Machine Learning Analysis