Results 91 to 100 of about 557,697 (271)

Electrocardiographic changes during chest pain in unstable angina. [PDF]

open access: bronze, 1977
A. Abdul Rahim   +2 more
openalex   +1 more source

Vital systems, Grand body systems: Cardiovascular systems

open access: yesنشریه پرستاری ایران, 1995
Unstable angina has progressive process and even in rest time, it happens frequently. It is a serious situation and 15-20 percent of patients are dying in duration of one year. Treatment: patients often hospitalized because observation of their reactions
Farahaninia, M
doaj  

Unstable Angina Pectoris

open access: yes, 1988
The introduction of intravenously administered nitrate formulations such as intravenous nitroglycerin and intravenous isosorbide dinitrate has markedly improved the conservative therapy of unstable angina. These formulations, originally used only in coronary care units, are now used in general medical wards and emergencies rooms, without hemodynamic ...
Marija Weiss, Adam Schneeweiss
openaire   +2 more sources

Machine Learning Models for the Identification of Cardiovascular Diseases Using UK Biobank Data [PDF]

open access: yesarXiv
Machine learning models have the potential to identify cardiovascular diseases (CVDs) early and accurately in primary healthcare settings, which is crucial for delivering timely treatment and management. Although population-based CVD risk models have been used traditionally, these models often do not consider variations in lifestyles, socioeconomic ...
arxiv  

Correction of aggregative thrombocytes activity in patients with unstable angina by THz irradiation of nitrogen oxide occurrence at in vitro conditions

open access: yesRussian Open Medical Journal, 2013
There had been shown a normalizing effect of THz radiation of MEAS (molecular emission and absorption spectrum) of 400 GHz nitrogen oxide occurrence on aggregation parameters of thrombocytes in patients with unstable angina at in vitro conditions.
Vyacheslav F. Kirichuk   +1 more
doaj  

TabulaTime: A Novel Multimodal Deep Learning Framework for Advancing Acute Coronary Syndrome Prediction through Environmental and Clinical Data Integration [PDF]

open access: yesarXiv
Acute Coronary Syndromes (ACS), including ST-segment elevation myocardial infarctions (STEMI) and non-ST-segment elevation myocardial infarctions (NSTEMI), remain a leading cause of mortality worldwide. Traditional cardiovascular risk scores rely primarily on clinical data, often overlooking environmental influences like air pollution that ...
arxiv  

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