AIMC Topic: Heart Failure

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Investigating the Impact of the Stationarity Hypothesis on Heart Failure Detection using Deep Convolutional Scattering Networks and Machine Learning.

Scientific reports Jul 31, 2025
Detection of Cardiovascular Diseases (CVDs) has become crucial nowadays, as the World Health Organization (WHO) declares CVDs as the major leading causes of death in the globe. Moreover, the death rate due to CVDs is expected to rise in the next few ...
Humans Machine Learning Signal Processing, Computer-Assisted Heart Failure Arrhythmias, Cardiac Algorithms Deep Learning Electrocardiography
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Electrocardiographic sex index: a continuous representation of sex.

Biology of sex differences Jul 17, 2025
Clinical risk calculators consider sex as a binary variable. However, sex is a complex trait with anatomic, physiologic, and metabolic attributes that are not easily summarized in this manner [1]. We propose a continuous representation of sex, the EC...
Artificial Intelligence Female Aged Humans Neural Networks, Computer Sex Characteristics Cohort Studies Male Electrocardiography Middle Aged Heart Failure
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Multicriteria Optimization of Language Models for Heart Failure With Preserved Ejection Fraction Symptom Detection in Spanish Electronic Health Records: Comparative Modeling Study.

Journal of medical Internet research Jul 17, 2025
BACKGROUND: Heart failure with preserved ejection fraction (HFpEF) is a major clinical manifestation of cardiac amyloidosis, a condition frequently underdiagnosed due to its nonspecific symptomatology. Electronic health records (EHRs) offer a promisi...
Spain Stroke Volume Natural Language Processing Heart Failure Humans Electronic Health Records Language Female Male
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Predicting New York Heart Association (NYHA) heart failure classification from medical student notes following simulated patient encounters.

Scientific reports Jul 15, 2025
Random forest models have demonstrated utility in the determination of New York Heart Association (NYHA) Heart Failure Classifications. This study aims to determine the prediction accuracy of a random forest model to derive NYHA Classification from m...
Humans Students, Medical Heart Failure Patient Simulation
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Using machine learning algorithms to predict risk factors of heart failure after complete mesocolic excision in colorectal cancer patients.

Scientific reports Jul 15, 2025
Following complete mesocolic excision (CME), heart failure (HF) emerges as a significant complication, exerting substantial impacts on both short-term and long-term patient prognoses. The primary objective of our investigation was to develop a machin...
Heart Failure Colectomy Aged Colorectal Neoplasms Male Middle Aged Postoperative Complications ROC Curve Algorithms Female Risk Factors Humans Machine Learning
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Identification and analysis of pyroptosis-related key genes in heart failure.

Journal of cardiothoracic surgery Jul 14, 2025
BACKGROUND: Pyroptosis plays a pivotal role in the pathogenesis of Heart Failure (HF). However, the current understanding of how pyroptosis-related genes (PRGs) influence HF is scarce. This study aimed to explore the link between PRGs and HF based on...
Humans Gene Expression Profiling Gene Regulatory Networks Computational Biology Pyroptosis Heart Failure
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Improving the Readability of Institutional Heart Failure-Related Patient Education Materials Using GPT-4: Observational Study.

JMIR cardio Jul 8, 2025
BACKGROUND: Heart failure management involves comprehensive lifestyle modifications such as daily weights, fluid and sodium restriction, and blood pressure monitoring, placing additional responsibility on patients and caregivers, with successful adhe...
Heart Failure Humans Comprehension Health Literacy Patient Education as Topic
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Prediction of three-year all-cause mortality in patients with heart failure and atrial fibrillation using the CatBoost model.

BMC cardiovascular disorders Jul 4, 2025
BACKGROUND: Heart failure and atrial fibrillation (HF-AF) frequently coexist, resulting in complex interactions that substantially elevate mortality risk. This study aimed to develop and validate a machine learning (ML) model predicting the 3-year al...
Risk Assessment Time Factors Predictive Value of Tests Cause of Death Heart Failure Humans Atrial Fibrillation Aged, 80 and over Retrospective Studies Male Female Middle Aged Reproducibility of Results Boosting Machine Learning Algorithms Machine Learning Risk Factors Decision Support Techniques Aged Prognosis
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Toward developing a compact total artificial heart using a soft robotic fluidic transmission system.

Science advances Jul 2, 2025
Cardiovascular diseases are a leading cause of mortality, with limited possibilities for transplantation due to a critical shortage of donor hearts. Replacing the heart with total artificial hearts (TAHs) remains challenging, due to size constraints ...
Heart Failure Heart, Artificial Robotics Equipment Design Humans
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Integrating bioinformatics and machine learning to investigate the mechanisms by which three major respiratory infectious diseases exacerbate heart failure.

Scientific reports Jul 2, 2025
Heart failure (HF) is a severe cardiovascular disease often worsened by respiratory infections like influenza, COVID-19, and community-acquired pneumonia (CAP). This study aims to uncover the molecular commonalities among these respiratory diseases a...
Gene Regulatory Networks Computational Biology Influenza, Human COVID-19 Heart Failure Humans Community-Acquired Infections Machine Learning SARS-CoV-2 ROC Curve
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