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Early identification of stroke is crucial for intervention, requiring reliable models. We proposed an efficient retinal image representation together with clinical information to capture a comprehensive overview of cardiovascular health,…

Computer Vision and Pattern Recognition · Computer Science 2024-11-11 Yuqing Huang , Bastian Wittmann , Olga Demler , Bjoern Menze , Neda Davoudi

Brain stroke is a leading cause of mortality and long-term disability worldwide, underscoring the need for precise and rapid prediction techniques. Computed Tomography (CT) scan is considered one of the most effective methods for diagnosing…

Computer Vision and Pattern Recognition · Computer Science 2025-12-19 Md. Sabbir Hossen , Eshat Ahmed Shuvo , Shibbir Ahmed Arif , Pabon Shaha , Anichur Rahman , Md. Saiduzzaman , Fahmid Al Farid , Hezerul Abdul Karim , Abu Saleh Musa Miah

Stroke affected millions annually, yet poor symptom recognition often delayed care-seeking. To address risk recognition gap, we developed a passive surveillance system for early stroke risk detection using patient-reported symptoms among…

We research into the clinical, biochemical and neuroimaging factors associated with the outcome of stroke patients to generate a predictive model using machine learning techniques for prediction of mortality and morbidity 3 months after…

Hospital length of stay (LOS) is one of the most essential healthcare metrics that reflects the hospital quality of service and helps improve hospital scheduling and management. LOS prediction helps in cost management because patients who…

Machine Learning · Computer Science 2022-01-06 Ola Alkhatib , Ayman Alahmar

Currently, strokes are the leading cause of adult disability in the United States. Traditional treatment and rehabilitation options such as physical therapy and tissue plasminogen activator are limited in their effectiveness and ability to…

Signal Processing · Electrical Eng. & Systems 2020-08-20 Mohammad-Parsa Hosseini , Cecilia Hemingway , Jerard Madamba , Alexander McKee , Natalie Ploof , Jennifer Schuman , Elliot Voss

Heart disease remains a leading cause of mortality and morbidity worldwide, necessitating the development of accurate and reliable predictive models to facilitate early detection and intervention. While state of the art work has focused on…

Machine Learning · Computer Science 2025-05-23 Mahade Hasan , Farhana Yasmin , Xue Yu

A stroke is defined as a neurologic deficit arising from an interruption in blood supply to the brain. According to the World Health Organization, over 15 million people suffer from strokes annually, of which almost 70% die or are…

Quantitative Methods · Quantitative Biology 2022-03-29 Rohan Kalahasty , Lakshmi Sritan Motati

Heart disease is a serious worldwide health issue because it claims the lives of many people who might have been treated if the disease had been identified earlier. The leading cause of death in the world is cardiovascular disease, usually…

Machine Learning · Computer Science 2024-09-10 Akua Sekyiwaa Osei-Nkwantabisa , Redeemer Ntumy

Cerebrovascular accident, or commonly known as stroke, is an acute disease with extreme impact on patients and healthcare systems and is the second largest cause of death worldwide. Fast and precise stroke lesion detection and location is…

Image and Video Processing · Electrical Eng. & Systems 2021-05-25 Chuanlong Li

Heart Disease has become one of the most serious diseases that has a significant impact on human life. It has emerged as one of the leading causes of mortality among the people across the globe during the last decade. In order to prevent…

Machine Learning · Computer Science 2022-06-08 Muhammad Salman Pathan , Avishek Nag , Muhammad Mohisn Pathan , Soumyabrata Dev

Stroke is one of the leading causes of death and disability worldwide but it is believed to be highly preventable. The majority of stroke prevention focuses on targeting high-risk individuals but its is important to understand how the…

Computers and Society · Computer Science 2024-07-24 Elizabeth Hunter , John D. Kelleher

Mental disorders impact the lives of millions of people globally, not only impeding their day-to-day lives but also markedly reducing life expectancy. This paper addresses the persistent challenge of predicting mortality in patients with…

Machine Learning · Computer Science 2023-10-19 Sean Kim , Samuel Kim

Stroke remains a leading cause of global morbidity and mortality, imposing a heavy socioeconomic burden. Advances in endovascular reperfusion therapy and CT and MR imaging for treatment guidance have significantly improved patient outcomes.…

Stroke is the second leading cause of death worldwide, and is increasingly prevalent in low- and middle-income countries (LMICs). Timely interventions can significantly influence stroke survivability and the quality of life after treatment.…

Image and Video Processing · Electrical Eng. & Systems 2025-10-10 Toufiq Musah , Prince Ebenezer Adjei , Kojo Obed Otoo

Stroke is a leading cause of neurological injury characterized by impairments in multiple neurological domains including cognition, language, sensory and motor functions. Clinical recovery in these domains is tracked using a wide range of…

Quantitative Methods · Quantitative Biology 2021-10-01 Sanjukta Krishnagopal , Keith Lohse , Robynne Braun

Stroke is the second most frequent cause of death world wide with an annual mortality of around 5.5 million. Recurrence rates of stroke are between 5 and 25% in the first year. As mortality rates for relapses are extraordinarily high (40%)…

This article focuses on the control center of each human body: the brain. We will point out the pivotal role of the cerebral vasculature and how its complex mechanisms may vary between subjects. We then emphasize a specific acute…

Image and Video Processing · Electrical Eng. & Systems 2022-11-10 Jeroen Bertels , David Robben , Dirk Vandermeulen , Robin Lemmens

Stroke is the second most common cause of death in developed countries, where rapid clinical intervention can have a major impact on a patient's life. To perform the revascularization procedure, the decision making of physicians considers…

Computer Vision and Pattern Recognition · Computer Science 2018-09-25 Adriano Pinto , Sergio Pereira , Raphael Meier , Victor Alves , Roland Wiest , Carlos A. Silva , Mauricio Reyes

Stroke prediction plays a crucial role in preventing and managing this debilitating condition. In this study, we address the challenge of stroke prediction using a comprehensive dataset, and propose an ensemble model that combines the power…

Computer Vision and Pattern Recognition · Computer Science 2023-10-26 Weinan Dai , Yifeng Jiang , Chengjie Mou , Chongyu Zhang