Results 1 to 10 of about 11,354,233 (219)
PREDICTIVE ANALYSIS OF HEART DISEASES WITH MACHINE LEARNING APPROACHES
Malaysian Journal of Computer Science, 2022 Machine Learning (ML) is used in healthcare sectors worldwide. ML methods help in the protection of heart diseases, locomotor disorders in the medical data set.
Ramesh Tr +5 more
semanticscholar +1 more source
The effects of P2Y12 adenosine receptors’ inhibitors on central and peripheral chemoreflexes
Frontiers in Physiology, 2023 Introduction: The most common side effect of ticagrelor is dyspnea, which leads to premature withdrawal of this life-saving medication in 6.5% of patients.
Stanislaw Tubek +13 more
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Prediction of Heart Diseases using Random Forest
Journal of Physics: Conference Series, 2021 The process of discovering or mining information from a huge volume of data is known as data mining technology. Today data mining has lots of application in every aspects of human life. Applications of data mining are wide and diverse.
Madhumita Pal, S. Parija
semanticscholar +1 more source
The Role of Pharmacological Treatment in the Chemoreflex Modulation
Frontiers in Physiology, 2022 From a physiological point of view, peripheral chemoreceptors (PCh) are the main sensors of hypoxia in mammals and are responsible for adaptation to hypoxic conditions.
Anna Langner-Hetmańczuk +7 more
doaj +1 more source
PLoS Neglected Tropical Diseases, 2021 BackgroundChagas disease (CD) is endemic in Latin America; however, its spread to nontropical areas has raised global interest in this condition.
Andrés F Miranda-Arboleda +8 more
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Ensemble Framework for Cardiovascular Disease Prediction [PDF]
Computers in Biology and Medicine Volume 146, July 2022, 105624, 2023 Heart disease is the major cause of non-communicable and silent death worldwide. Heart diseases or cardiovascular diseases are classified into four types: coronary heart disease, heart failure, congenital heart disease, and cardiomyopathy. It is vital to diagnose heart disease early and accurately in order to avoid further injury and save patients ...
arxiv +1 more source
BMJ Open, 2023 Objective This study aimed to assess the prognostic significance of residual (discharge) dyspnoea in acute heart failure (AHF) patients.Design Single-centre, prospective observational study.Setting Patients hospitalised for decompensated AHF in a single ...
Piotr Ponikowski +6 more
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Clinical determinants and prognostic significance of hypocapnia in acute heart failure
Scientific Reports, 2022 The aim of this research was to examine the prevalence of hyperventilation (defined by pCO2 value) among acute heart failure (AHF) patients and to link it with potential triggers and prognosis.
Mateusz Garus +9 more
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Global Heart, 2020 Introduction: Neglected tropical diseases (NTDs) are a group of infections that are prevalent in many of the tropical and sub-tropical developing countries where poverty is rampant. NTDs have remained largely unnoticed in the global health agenda.
Lucrecia M. Burgos +8 more
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Heart Diseases Prediction using Deep Learning Neural Network Model
International Journal of Innovative Technology and Exploring Engineering, 2020 Deep learning plays an important role in the field of medical science in solving health issues and diagnosing various diseases. So in this paper, we will discuss heart disease. We proposed a model for heart disease prediction.
semanticscholar +1 more source