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Related papers: Cognizance of Post-COVID-19 Multi-Organ Dysfunctio…

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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 disease, a condition often referred to as "long COVID." This…

Other Quantitative Biology · Quantitative Biology 2023-10-04 Maitham G. Yousif , Ghizal Fatima , Hector J. Castro , Fadhil G. Al-Amran , Salman Rawaf

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 complications are a significant concern. Among these…

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, emerging evidence has highlighted the impact of COVID-19 on…

Machine Learning · Computer Science 2023-10-03 Maitham G. Yousif , Fadhil G. Al-Amran , Salman Rawaf , Mohammad Abdulla Grmt

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 presents a comprehensive analysis of pulmonary fibrosis…

Other Quantitative Biology · Quantitative Biology 2023-09-22 John Martin , Hayder A. Albaqer , Fadhil G. Al-Amran , Habeeb W. Shubber , Salman Rawaf , Maitham G. Yousif

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…

Machine Learning · Computer Science 2023-09-29 Maitham G. Yousif , 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 669 patients across various provinces in Iraq, yielded…

Machine Learning · Computer Science 2023-09-29 Maitham G. Yousif , Fadhil G. Al-Amran , Hector J. Castro

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 Fatigue Syndrome (PCFS) has become a significant health issue…

Other Quantitative Biology · Quantitative Biology 2023-10-06 Fadhil G. Al-Amran , Salman Rawaf , Maitham G. Yousif

Identifying long COVID symptoms is a challenging task, primarily due to the reliance on patient reports and the lack of disease specific biomarkers. The objective of this study is to identify individual long COVID symptoms, post COVID 19…

Other Quantitative Biology · Quantitative Biology 2025-10-02 Abdi Reza

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. Detecting and monitoring these inflammatory biomarkers is critical…

Machine Learning · Computer Science 2023-09-28 Ghizal Fatima , Fadhil G. Al-Amran , Maitham G. Yousif

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 neurological sequelae in a cohort of 500 post-COVID-19…

Machine Learning · Computer Science 2023-09-20 Hayder A. Albaqer , Kadhum J. Al-Jibouri , John Martin , Fadhil G. Al-Amran , Salman Rawaf , Maitham G. Yousif

A significant percentage of COVID-19 survivors experience ongoing multisystemic symptoms that often affect daily living, a condition known as Long Covid or post-acute-sequelae of SARS-CoV-2 infection. However, identifying scientific…

Machine Learning · Computer Science 2022-10-31 Robert Leaman , Rezarta Islamaj , Alexis Allot , Qingyu Chen , W. John Wilbur , Zhiyong Lu

In this study we applyed machine-learning algorithms to determine the post-COVID state of a person. During the study, a marker of the post-COVID state of a person was found in the electrocardiogram data. We have shown that this marker in…

Signal Processing · Electrical Eng. & Systems 2023-12-01 Sergey Stasenko , Andrey Kovalchuk , Eremin Evgeny , Natalya Zarechnova , Maria Tsirkova , Sergey Permyakov , Sergey Parin , Sofia Polevaya

Background: Providing appropriate care for people suffering from COVID-19, the disease caused by the pandemic SARS-CoV-2 virus is a significant global challenge. Many individuals who become infected have pre-existing conditions that may…

Based on recent studies, some COVID-19 symptoms can persist for months after infection, leading to what is termed long COVID. Factors such as vaccination timing, patient characteristics, and symptoms during the acute phase of infection may…

Machine Learning · Computer Science 2025-04-30 Milad Leyli-abadi , Jean-Patrick Brunet , Axel Tahmasebimoradi

Introduction: For COVID-19 patients accurate prediction of disease severity and mortality risk would greatly improve care delivery and resource allocation. There are many patient-related factors, such as pre-existing comorbidities that…

COVID-19, the disease caused by the SARS-CoV-2 virus, has been declared a pandemic by the World Health Organization, which has reported over 18 million confirmed cases as of August 5, 2020. In this review, we present an overview of recent…

Computers and Society · Computer Science 2021-01-12 Joseph Bullock , Alexandra Luccioni , Katherine Hoffmann Pham , Cynthia Sin Nga Lam , Miguel Luengo-Oroz

Millions of people have died worldwide from COVID-19. In addition to its high death toll, COVID-19 has led to unbearable suffering for individuals and a huge global burden to the healthcare sector. Therefore, researchers have been trying to…

Sound · Computer Science 2023-11-14 Sudip Vhaduri , Seungyeon Paik , Jessica E Huber

The outbreak of COVID-19 disease caused more than 100,000 deaths so far in the USA alone. It is necessary to conduct an initial screening of patients with the symptoms of COVID-19 disease to control the spread of the disease. However, it is…

Image and Video Processing · Electrical Eng. & Systems 2020-10-30 Md Manjurul Ahsan , Kishor Datta Gupta , Mohammad Maminur Islam , Sajib Sen , Md. Lutfar Rahman , Mohammad Shakhawat Hossain

Purpose: Artificial intelligence (AI) techniques have been extensively utilized for diagnosing and prognosis of several diseases in recent years. This study identifies, appraises and synthesizes published studies on the use of AI for the…

In a worldwide health crisis as exigent as COVID-19, there has become a pressing need for rapid, reliable diagnostics. Currently, popular testing methods such as reverse transcription polymerase chain reaction (RT-PCR) can have high false…

Image and Video Processing · Electrical Eng. & Systems 2022-07-15 Justin Liu
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