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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

It is shown that various symptoms could remain in the stage of post-acute sequelae of SARS-CoV-2 infection (PASC), otherwise known as Long COVID. A number of COVID patients suffer from heterogeneous symptoms, which severely impact recovery…

Quantitative Methods · Quantitative Biology 2022-11-17 Sihang Jiang , Johanna Loomba , Suchetha Sharma , Donald Brown

Moderate to severe post-acute sequelae of SARS-CoV-2 infection (PASC), also called long COVID, is estimated to impact as many as 10% of SARS-CoV-2 infected individuals, representing a chronic condition with a substantial global public…

Methodology · Statistics 2024-10-11 Harrison T. Reeder , Tanayott Thaweethai , Andrea S. Foulkes

Early prediction of Post-Acute Sequelae of SARS-CoV-2 severity is a critical challenge for women's health, particularly given the diagnostic overlap between PASC and common hormonal transitions such as menopause. Identifying and accounting…

Machine Learning · Computer Science 2026-03-19 Jing Wang , Jie Shen , Yiming Luo , Amar Sra , Qiaomin Xie , Jeremy C. Weiss

The long-term effects of Postacute Sequelae of SARS-CoV-2, known as PASC, pose a significant challenge to healthcare systems worldwide. Accurate identification of progression events, such as hospitalization and reinfection, is essential for…

Machine Learning · Computer Science 2025-07-01 Jing Wang , Amar Sra , Jeremy C. Weiss

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

Recent work has shown the potential of using audio data (eg, cough, breathing, and voice) in the screening for COVID-19. However, these approaches only focus on one-off detection and detect the infection given the current audio sample, but…

While the acute phase of the COVID-19 pandemic has subsided, its long-term effects persist through Post-Acute Sequelae of COVID-19 (PASC), commonly known as Long COVID. There remains substantial uncertainty regarding both its duration and…

COVID-19 patient triaging with predictive outcome of the patients upon first present to emergency department (ED) is crucial for improving patient prognosis, as well as better hospital resources management and cross-infection control. We…

Most children infected with COVID-19 have no or mild symptoms and can recover automatically by themselves, but some pediatric COVID-19 patients need to be hospitalized or even to receive intensive medical care (e.g., invasive mechanical…

Machine Learning · Computer Science 2022-06-08 Sajid Mahmud , Elham Soltanikazemi , Frimpong Boadu , Ashwin Dhakal , Jianlin Cheng

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…

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

Temporal inference from laboratory testing results and their triangulation with clinical outcomes as described in the associated unstructured text from the providers notes in the Electronic Health Record (EHR) is integral to advancing…

As the COVID-19 pandemic continues to impact the world, data is being gathered and analyzed to better understand the disease. Recognizing the potential for visual analytics technologies to support exploratory analysis and hypothesis…

Human-Computer Interaction · Computer Science 2022-07-01 David Borland , Irena Brain , Karamarie Fecho , Emily Pfaff , Hao Xu , James Champion , Chris Bizon , David Gotz

Pandemic outbreaks such as COVID-19 occur unexpectedly, and need immediate action due to their potential devastating consequences on global health. Point-of-care routine assessments such as electrocardiogram (ECG), can be used to develop…

Signal Processing · Electrical Eng. & Systems 2023-01-12 Weijie Sun , Sunil Vasu Kalmady , Nariman Sepehrvand , Luan Manh Chu , Zihan Wang , Amir Salimi , Abram Hindle , Russell Greiner , Padma Kaul

In this paper, we propose a deep learning model to forecast the range of increase in COVID-19 infected cases in future days and we present a novel method to compute equidimensional representations of multivariate time series and…

Computers and Society · Computer Science 2020-08-04 Ankit Ramchandani , Chao Fan , Ali Mostafavi

Patients with chronic obstructive pulmonary disease (COPD) have an increased risk of hospitalizations, strongly associated with decreased survival, yet predicting the timing of these events remains challenging and has received limited…

Long COVID is a general term of post-acute sequelae of COVID-19. Patients with long COVID can endure long-lasting symptoms including fatigue, headache, dyspnea and anosmia, etc. Identifying the cohorts with severe long-term complications in…

Machine Learning · Computer Science 2023-07-12 Degan Hao , Mohammadreza Negahdar

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

A molecular and cellular understanding of how SARS-CoV-2 variably infects and causes severe COVID-19 remains a bottleneck in developing interventions to end the pandemic. We sought to use deep learning to study the biology of SARS-CoV-2…

Machine Learning · Computer Science 2020-12-16 Arijit Sehanobish , Neal G. Ravindra , David van Dijk
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