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Potassium disorders are generally asymptomatic, potentially lethal, and common in patients with renal or cardiac disease. The morphology of the electrocardiogram (ECG) signal is very sensitive to the changes in potassium ions, so ECG has a…

Signal Processing · Electrical Eng. & Systems 2023-12-29 Zeynab Samandari , Seyyedeh Fatemeh Molaeezadeh

Statistical methods to study the association between a longitudinal biomarker and the risk of death are very relevant for the long-term care of subjects affected by chronic illnesses, such as potassium in heart failure patients.…

In medical science, it is very important to gather multiple data on different diseases and one of the most important objectives of the data is to investigate the diseases. Myocardial infarction is a serious risk factor in mortality and in…

Machine Learning · Computer Science 2021-12-16 Tanya Aghazadeh , Mostafa Bagheri

Myocardial infarction (MI), or commonly known as heart attack, is a life-threatening health problem worldwide from which 32.4 million people suffer each year. Early diagnosis and treatment of MI are crucial to prevent further heart tissue…

Image and Video Processing · Electrical Eng. & Systems 2021-03-16 Aysen Degerli , Morteza Zabihi , Serkan Kiranyaz , Tahir Hamid , Rashid Mazhar , Ridha Hamila , Moncef Gabbouj

Myocardial infarction (MI), commonly known as a heart attack, is a critical health condition caused by restricted blood flow to the heart. Early-stage detection through continuous ECG monitoring is essential to minimize irreversible damage.…

Machine Learning · Computer Science 2024-11-28 Abhijith S , Arjun Rajesh , Mansi Manoj , Sandra Davis Kollannur , Sujitta R , Jerrin Thomas Panachakel

Acute myocardial infarction (AMI) is one of the most severe manifestation of coronary artery disease. ST-segment elevation myocardial infarction (STEMI) is the most serious type of AMI. We proposed to develop a machine learning algorithm…

Quantitative Methods · Quantitative Biology 2022-11-29 Ding Tao , Chen Liu , Shihan Wan

Objective The concentration of bilirubin in blood or serum is useful for assessing liver function as well as monitoring treatment. This study evaluates the clinical performance of a novel point-of-care (PoC) device for the detection of…

Background: Several studies have highlighted the importance of considering sex differences in the diagnosis and treatment of Acute Coronary Syndrome (ACS). However, the identification of sex-specific risk markers in ACS sub-populations has…

Machine Learning · Computer Science 2021-11-19 Blanca Vazquez , Gibran Fuentes-Pineda , Fabian Garcia , Gabriela Borrayo , Juan Prohias

Predicting the risk of mortality for patients with acute myocardial infarction (AMI) using electronic health records (EHRs) data can help identify risky patients who might need more tailored care. In our previous work, we built…

Machine Learning · Computer Science 2019-04-30 Seyedeh Neelufar Payrovnaziri , Laura A. Barrett , Daniel Bis , Jiang Bian , Zhe He

A "heart attack" or myocardial infarction (MI), occurs when an artery supplying blood to the heart is abruptly occluded. The "gold standard" method for imaging MI is Cardiovascular Magnetic Resonance Imaging (MRI), with intravenously…

Image and Video Processing · Electrical Eng. & Systems 2023-03-22 Shuihua Wang , Ahmed M. S. E. K Abdelaty , Kelly Parke , J Ranjit Arnold , Gerry P McCann , Ivan Y Tyukin

Vital signs and laboratory values are routinely used to guide clinical decision-making for polytrauma patients, such as the decision to use damage control techniques versus early definitive fracture fixation. Prior multivariate models have…

Quantitative Methods · Quantitative Biology 2020-10-09 Adam J. Starr , Manjula Julka , Arun Nethi , John D. Watkins , Ryan W. Fairchild , Michael W. Cripps , Dustin Rinehart , Hayden N. Box

Bayesian models are increasing fit to large administrative data sets and then used to make individualized recommendations. For instance, Medicare's Hospital Compare webpage provides information to patients about specific hospital mortality…

Applications · Statistics 2018-04-03 E. I. George , V. Rockova , P. R. Rosenbaum , V. A. Satopaa , J. H. Silber

Many clinical studies evaluate the benefit of a treatment based on both survival and other continuous/ordinal clinical outcomes, such as Quality of Life scores. In these studies, when subjects die before the follow-up assessment, the…

Applications · Statistics 2023-09-06 Qingyan Xiang , Ronald J. Bosch , Judith J. Lok

The circadian rhythm in the occurrence of acute myocardial infarction (AMI) was assessed in three hundred and twenty three patients admitted with AMI during the two-year period June 1992 to May 1994. The influence of the following…

chao-dyn · Physics 2007-05-23 A. M. Selvam , D. Sen , S. M. S. Mody

Objective: Acute intracranial hypertension is an important risk factor of secondary brain damage after traumatic brain injury. Hypertensive episodes are often diagnosed reactively, leading to late detection and lost time for intervention…

Signal Processing · Electrical Eng. & Systems 2020-12-03 Matthias Hüser , Adrian Kündig , Walter Karlen , Valeria De Luca , Martin Jaggi

Patient status, angiographic and procedural characteristics encode crucial signals for predicting long-term outcomes after percutaneous coronary intervention (PCI). The aim of the study was to develop a predictive model for assessing the…

Machine Learning · Computer Science 2025-12-30 Daniil Burakov , Ivan Petrov , Dmitrii Khelimskii , Ivan Bessonov , Mikhail Lazarev

Hyperkalemia is a life-threatening electrolyte disorder that is common in patients with chronic kidney disease and heart failure, yet frequent monitoring remains difficult outside hospital settings. We developed and validated Pocket-K, a…

We develop and evaluate a data-driven approach for detecting unusual (anomalous) patient-management decisions using past patient cases stored in electronic health records (EHRs). Our hypothesis is that a patient-management decision that is…

Machine Learning · Computer Science 2026-05-12 Miloš Hauskrecht , Iyad Batal , Michal Valko , Shyam Visweswaran , Gregory F. Cooper , Gilles Clermont

Many types of ventricular and atrial cardiac arrhythmias have been discovered in clinical practice in the past 100 years, and these arrhythmias are a major contributor to sudden cardiac death. Ventricular tachycardia, ventricular…

Machine Learning · Computer Science 2022-06-13 Ashkan Parsi

Hypertension and atrial fibrillation (AF) often coexist in critically ill patients, significantly increasing mortality rates in the ICU. Early identification of high-risk individuals is crucial for targeted interventions. However, limited…

Applications · Statistics 2025-06-19 Shuheng Chen , Yong Si , Junyi Fan , Li Sun , Greg Placencia , Elham Pishgar , Kamiar Alaei , Maryam Pishgar
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