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In medical practice, treatments are selected based on the expected causal effects on patient outcomes. Here, the gold standard for estimating causal effects are randomized controlled trials; however, such trials are costly and sometimes…

Machine Learning · Statistics 2023-01-24 Dennis Frauen , Tobias Hatt , Valentyn Melnychuk , Stefan Feuerriegel

Age Related Macular Degeneration(AMD) has been one of the most leading causes of permanent vision impairment in ophthalmology. Though treatments, such as anti VEGF drugs or photodynamic therapies, were developed to slow down the…

Image and Video Processing · Electrical Eng. & Systems 2025-12-29 Daeyoung Kim

Purpose: Atrial fibrillation (AF) is the most common cardiac arrhythmia and is correlated with increased morbidity and mortality. It is associated with atrial fibrosis, which may be assessed non-invasively using late gadolinium-enhanced…

Computer Vision and Pattern Recognition · Computer Science 2018-07-04 Guang Yang , Xiahai Zhuang , Habib Khan , Shouvik Haldar , Eva Nyktari , Lei Li , Rick Wage , Xujiong Ye , Greg Slabaugh , Raad Mohiaddin , Tom Wong , Jennifer Keegan , David Firmin

Acute lymphoblastic leukemia is the most frequent pediatric cancer. Approximately two third of survivors develop one or more health complications known as late adverse effects following their treatments. The existing measures offered to…

Industrial financial systems operate on temporal event sequences such as transactions, user actions, and system logs. While recent research emphasizes representation learning and large language models, production systems continue to rely…

Atrial fibrillation (AF) is a leading cause of morbidity and mortality. AF prevalence increases with age, which is attributed to pathophysiological changes that aid AF initiation and perpetuation. Current state-of-the-art models are only…

Tissues and Organs · Quantitative Biology 2015-10-05 Julie Eatock , Yen Ting Lin , Eugene T. Y. Chang , Tobias Galla , Richard H. Clayton

Multi-channel ECG-based cardiac disorders detection has an impact on cardiac care and treatment. Limitations of existing methods included variation in ECG waveforms due to the location of electrodes, high non-linearity in the signal, and…

Computer Vision and Pattern Recognition · Computer Science 2024-08-06 Suraj Kumar Behera , Debanjali Bhattacharya , Ninad Aithal , Neelam Sinha

Heart failure (HF) is one of the most prevalent life-threatening cardiovascular diseases in which 6.5 million people are suffering in the USA and more than 23 million worldwide. Mechanical circulatory support of HF patients can be achieved…

Machine Learning · Computer Science 2023-01-20 Masoud Fetanat , Michael Stevens , Pankaj Jain , Christopher Hayward , Erik Meijering , Nigel H. Lovell

Chronic wounds pose an ongoing health concern globally, largely due to the prevalence of conditions such as diabetes and leprosy's disease. The standard method of monitoring these wounds involves visual inspection by healthcare…

Image and Video Processing · Electrical Eng. & Systems 2024-08-21 Karen Sanchez , Carlos Hinojosa , Olinto Mieles , Chen Zhao , Bernard Ghanem , Henry Arguello

Currently, approximately 30% of epileptic patients treated with antiepileptic drugs (AEDs) remain resistant to treatment (known as refractory patients). This project seeks to understand the underlying similarities in refractory patients vs.…

Machine Learning · Computer Science 2017-04-28 David Von Dollen

Traditionally, evaluation of intersection safety has been largely reactive, based on historical crash frequency data. However, the emerging data from Connected and Automated Vehicles (CAVs) can complement historical data and help in…

Applications · Statistics 2017-09-15 Mohsen Kamrani , Behram Wali , Asad J. Khattak

Routinely collected data from electronic health records (EHR) provide opportunities to study effects of longitudinal treatment strategies in real-world clinical settings. A challenge presented by EHR data is that frequency of covariate…

Applications · Statistics 2026-04-14 Leah Pirondini , Karla Diaz-Ordaz , Edward Palmer , Ruth H. Keogh

Clinical medical data, especially in the intensive care unit (ICU), consist of multivariate time series of observations. For each patient visit (or episode), sensor data and lab test results are recorded in the patient's Electronic Health…

Machine Learning · Computer Science 2017-03-23 Zachary C. Lipton , David C. Kale , Charles Elkan , Randall Wetzel

Atrial fibrillation (AF) is the most prevalent arrhythmia and is associated with a five-fold increase in stroke risk. Many individuals with AF go undetected. These individuals are often asymptomatic. There are ongoing debates on whether…

Signal Processing · Electrical Eng. & Systems 2020-10-19 Armand Chocron , Roi Efraim , Franck Mandel , Michael Rueschman , Niclas Palmius , Thomas Penzel , Meyer Elbaz , Joachim A. Behar

Coronary artery disease(CAD) is the most common type of heart disease and the leading cause of death worldwide[1]. A progressive state of this disease marked by plaque rupture and clot formation in the coronary arteries, also known as an…

Machine Learning · Computer Science 2020-09-29 Atandra Burman , Jitto Titus , David Gbadebo , Melissa Burman

Shockable rhythms, namely ventricular fibrillation and ventricular tachycardia, are the main cause of sudden cardiac arrests, which can be detected quickly by the automated external defibrillator (AED) devices. In this paper, a simple but…

Signal Processing · Electrical Eng. & Systems 2021-09-28 Dao Thanh Hai , Nguyen Minh Tuan , Nguyen Thi Thu Hang , Le Hai Chau

Aims: This meta-analysis aimed to evaluate the diagnostic performance of echocardiographic parameters for cardiac amyloidosis (CA), with a focus on subtype stratification and comparisons with healthy controls. Methods and Results: A…

Medical Physics · Physics 2025-04-30 Zihang Zhang , Yunjie Chen , Yuanzhou Cao , Xinyi Xie , Kangming Ji , Chuang Yang , Lijun Qian

Arrhythmogenic right ventricular cardiomyopathy (ARVC) is an inherited heart muscle disease that appears between the second and forth decade of a patient's life, being responsible for 20% of sudden cardiac deaths before the age of 35. The…

Signal Processing · Electrical Eng. & Systems 2022-09-07 Vasileios E. Papageorgiou , Thomas Zegkos , Georgios Efthimiadis , George Tsaklidis

Modern health care systems are conducting continuous, automated surveillance of the electronic medical record (EMR) to identify adverse events with increasing frequency; however, many events such as sepsis do not have elucidated prodromes…

Applications · Statistics 2023-05-24 Song Wei , Yao Xie , Christopher S. Josef , Rishikesan Kamaleswaran

Apnea-bradycardia is one of the major clinical early indicators of late-onset sepsis occurring in approximately 7% to 10% of all neonates and in more than 25% of very low birth weight infants in NICU. The objective of this paper was to…

Quantitative Methods · Quantitative Biology 2016-05-18 Yuan Wang , Guy Carrault , Alain Beuchee , Nathalie Costet , Huazhong Shu , Lotfi Senhadji