Results 11 to 20 of about 11,708,753 (340)
On Fatty Diseases of the Heart [PDF]
n ...
Richard Quain
openalex +6 more sources
PREDICTIVE ANALYSIS OF HEART DISEASES WITH MACHINE LEARNING APPROACHES
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
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
doaj +1 more source
Prediction of Heart Diseases using Random Forest
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
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
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
doaj +1 more source
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
doaj +1 more source
Clinical determinants and prognostic significance of hypocapnia in acute heart failure
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
doaj +1 more source
Heart Diseases Prediction using Deep Learning Neural Network Model
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
Mitochondrial Dynamics in Adult Cardiomyocytes and Heart Diseases
Mitochondria are the powerhouse organelles of cells; they participate in ATP generation, calcium homeostasis, oxidative stress response, and apoptosis. Thus, maintenance of mitochondrial function is critical for cellular functions.
Anqi Li+4 more
semanticscholar +1 more source