AIMC Topic: Angina Pectoris

Clear Filters Showing 1 to 5 of 5 articles

Machine learning-based predictive modeling of angina pectoris in an elderly community-dwelling population: Results from the PoCOsteo study.

PloS one Aug 5, 2025
BACKGROUND: Angina pectoris, a comparatively common complaint among older adults, is a critical warning sign of underlying coronary heart disease. We aimed to develop machine learning-based models using multiple algorithms to predict and identify the...
Aged, 80 and over Male Aged Independent Living Angina Pectoris Logistic Models Support Vector Machine Machine Learning Female Algorithms Humans
View on PubMed DOI

The value of CCTA combined with machine learning for predicting angina pectoris in the anomalous origin of the right coronary artery.

Biomedical engineering online Sep 12, 2024
BACKGROUND: Anomalous origin of coronary artery is a common coronary artery anatomy anomaly. The anomalous origin of the coronary artery may lead to problems such as narrowing of the coronary arteries at the beginning of the coronary arteries and abn...
Adult Male Aged Coronary Vessels Computed Tomography Angiography Image Processing, Computer-Assisted Middle Aged Machine Learning Female Retrospective Studies Humans Coronary Vessel Anomalies Angina Pectoris
View on PubMed DOI

Deep learning to detect significant coronary artery disease from plain chest radiographs AI4CAD.

International journal of cardiology Nov 5, 2022
BACKGROUND: The predictive role of chest radiographs in patients with suspected coronary artery disease (CAD) is underestimated and may benefit from artificial intelligence (AI) applications.
Angina Pectoris Coronary Artery Disease Retrospective Studies Artificial Intelligence Humans Coronary Angiography Deep Learning
View on PubMed DOI

Extracting Angina Symptoms from Clinical Notes Using Pre-Trained Transformer Architectures.

AMIA ... Annual Symposium proceedings. AMIA Symposium Jan 25, 2021
Anginal symptoms can connote increased cardiac risk and a need for change in cardiovascular management. In this study, a pre-trained transformer architecture was used to automatically detect and characterize anginal symptoms from within the history o...
Chest Pain Data Collection Natural Language Processing Angina Pectoris Physicians, Primary Care Middle Aged Documentation Primary Health Care Computer Systems Electronic Health Records Male Humans
View on PubMed

A new risk stratification score for patients with suspected cardiac chest pain in emergency departments, based on machine learning.

Chinese medical journal Apr 5, 2020
Logistic Models Chest Pain Emergency Service, Hospital Retrospective Studies ROC Curve Machine Learning Angina Pectoris Chi-Square Distribution Humans
View on PubMed DOI
Popular Topics
Recent Journals