English
Related papers

Related papers: Identifying Heart Attack Risk in Vulnerable Popula…

200 papers

In the age of digital epidemiology, epidemiologists are faced by an increasing amount of data of growing complexity and dimensionality. Machine learning is a set of powerful tools that can help to analyze such enormous amounts of data. This…

Machine Learning · Statistics 2026-02-19 Marvin N. Wright , Lukas Burk , Pegah Golchian , Jan Kapar , Niklas Koenen , Sophie Hanna Langbein

AIMS. This study compared the performance of deep learning extensions of survival analysis models with traditional Cox proportional hazards (CPH) models for deriving cardiovascular disease (CVD) risk prediction equations in national health…

Machine Learning · Computer Science 2020-12-01 Sebastiano Barbieri , Suneela Mehta , Billy Wu , Chrianna Bharat , Katrina Poppe , Louisa Jorm , Rod Jackson

During the COVID-19 pandemic, the behavioral response to reported case numbers changed drastically over time. While a few dozen cases were enough to trigger government-induced and voluntary contact reduction in early 2020, less than a year…

Physics and Society · Physics 2023-09-27 Bastian Heinlein , Manlio De Domenico

Heart failure (HF) poses a significant public health challenge, with a rising global mortality rate. Early detection and prevention of HF could significantly reduce its impact. We introduce a novel methodology for predicting HF risk using…

Quantitative Methods · Quantitative Biology 2025-06-19 Chen Chen , Lei Li , Marcel Beetz , Abhirup Banerjee , Ramneek Gupta , Vicente Grau

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…

Machine Learning · Computer Science 2023-10-02 Hector J. Castro , Maitham G. Yousif

The COVID-19 pandemic has had a considerable impact on day-to-day life. Tackling the disease by providing the necessary resources to the affected is of paramount importance. However, estimation of the required resources is not a trivial…

Image and Video Processing · Electrical Eng. & Systems 2022-05-11 Sai Vidyaranya Nuthalapati , Marcela Vizcaychipi , Pallav Shah , Piotr Chudzik , Chee Hau Leow , Paria Yousefi , Ahmed Selim , Keiran Tait , Ben Irving

The clinical spectrum of severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2), the strain of coronavirus that caused the COVID-19 pandemic, is broad, extending from asymptomatic infection to severe immunopulmonary reactions that, if…

Quantitative Methods · Quantitative Biology 2022-07-18 Aaron Wang , Feng Li , Samantha Chiang , Jennifer Fulcher , Otto Yang , David Wong , Fang Wei

This paper applies multiple machine learning (ML) algorithms to a dataset of de-identified COVID-19 patients provided by the COVID-19 Research Database. The dataset consists of 20,878 COVID-positive patients, among which 9,177 patients died…

Machine Learning · Computer Science 2023-03-02 Redoan Rahman , Jooyeong Kang , Justin F Rousseau , Ying Ding

Since the World Health Organization (WHO) characterized COVID-19 as a pandemic in March 2020, there have been over 600 million confirmed cases of COVID-19 and more than six million deaths as of October 2022. The relationship between the…

Computers and Society · Computer Science 2023-03-24 Hanjia Lyu , Arsal Imtiaz , Yufei Zhao , Jiebo Luo

Despite of the pain and limited accuracy of blood tests for early recognition of cardiovascular disease, they dominate risk screening and triage. On the other hand, heart rate variability is non-invasive and cheap, but not considered…

Neural and Evolutionary Computing · Computer Science 2016-12-30 Tamas Madl

Amid the ongoing COVID-19 pandemic, whether COVID-19 patients with high risks can be recovered or not depends, to a large extent, on how early they will be treated appropriately before irreversible consequences are caused to the patients by…

Applications · Statistics 2020-07-01 Feng Zhou , Tao Chen , Baiying Lei

Changes in human behavior are increasingly recognized as a major determinant of epidemic dynamics. Although collective activity can be modified through imposed measures to control epidemic progression, spontaneous changes can also arise as…

Populations and Evolution · Quantitative Biology 2021-05-25 Susanna Manrubia , Damián H. Zanette

Heart failure affects millions of people worldwide, significantly reducing quality of life and leading to high mortality rates. Despite extensive research, the relationship between heart failure and mortality rates among ICU patients is not…

Machine Learning · Computer Science 2024-09-04 Negin Ashrafi , Armin Abdollahi , Jiahong Zhang , Maryam Pishgar

AI-powered stethoscopes offer a promising alternative for screening rheumatic heart disease (RHD), particularly in regions with limited diagnostic infrastructure. Early detection is vital, yet echocardiography, the gold standard tool,…

The COVID-19 pandemic is considered as the most alarming global health calamity of this century. COVID-19 has been confirmed to be mutated from coronavirus family. As stated by the records of The World Health Organization (WHO at April 18…

Artificial Intelligence · Computer Science 2023-11-03 Subhrangshu Adhikary , Sonam Chaturvedi , Sudhir Kumar Chaturvedi , Saikat Banerjee

While COVID-19 has impacted humans for a long time, people search the web for pandemic-related information, causing anxiety. From a theoretic perspective, previous studies have confirmed that the number of COVID-19 cases can cause negative…

Computers and Society · Computer Science 2022-11-17 Linjiang Guo , Zijian Feng , Yuxue Chi , Mingzhu Wang , Yijun Liu

Atrial fibrillation (AF) is one of the most prevalent cardiac arrhythmias that affects the lives of more than 3 million people in the U.S. and over 33 million people around the world and is associated with a five-fold increased risk of…

Quantitative Methods · Quantitative Biology 2020-02-14 Sajad Mousavi , Fatemeh Afghah , U. Rajendra Acharya

Heart attack remain one of the greatest contributors to mortality in the United States and globally. Patients admitted to the intensive care unit (ICU) with diagnosed heart attack (myocardial infarction or MI) are at higher risk of death.…

Machine Learning · Computer Science 2023-05-11 Munib Mesinovic , Peter Watkinson , Tingting Zhu

The COVID-19 pandemic has caused substantial damage to global health. Even though three years have passed, the world continues to struggle with the virus. Concerns are growing about the impact of COVID-19 on the mental health of infected…

Computation and Language · Computer Science 2023-06-14 Jiageng Wu , Xian Wu , Yining Hua , Shixu Lin , Yefeng Zheng , Jie Yang

Heart disease is the leading cause of death worldwide. Currently, 33% of cases are misdiagnosed, and approximately half of myocardial infarctions occur in people who are not predicted to be at risk. The use of Artificial Intelligence could…

Machine Learning · Computer Science 2020-07-28 Sahithi Ankireddy
‹ Prev 1 4 5 6 7 8 10 Next ›