Results 101 to 110 of about 794,309 (237)
Journal of the American Heart Association : Cardiovascular and Cerebrovascular Disease, 2019 Background Cardiac biomarkers may signal mechanistic pathways involved in heart failure (HF), a leading complication in chronic kidney disease. We tested the associations of NT‐proBNP (N‐terminal pro‐B‐type natriuretic peptide), high‐sensitivity troponin
N. Bansal +16 more
semanticscholar +1 more source
Canadian Journal of Kidney Health and Disease, 2014 PurposeThe purpose of this article is to review the current status of patient-centred care (PCC) and patient engagement (PE) in the management of patients with advanced chronic kidney disease (CKD) and end-stage renal disease (ESRD), to identify some of ...
R. Bear, Suzanne Stockie
semanticscholar +1 more source
AI-Driven Predictive Analytics Approach for Early Prognosis of Chronic Kidney Disease Using Ensemble Learning and Explainable AI [PDF]
arXivChronic Kidney Disease (CKD) is one of the widespread Chronic diseases with no known ultimo cure and high morbidity. Research demonstrates that progressive Chronic Kidney Disease (CKD) is a heterogeneous disorder that significantly impacts kidney structure and functions, eventually leading to kidney failure. With the progression of time, chronic kidney
arxiv
Integrated Machine Learning and Survival Analysis Modeling for Enhanced Chronic Kidney Disease Risk Stratification [PDF]
arXivChronic kidney disease (CKD) is a significant public health challenge, often progressing to end-stage renal disease (ESRD) if not detected and managed early. Early intervention, warranted by silent disease progression, can significantly reduce associated morbidity, mortality, and financial burden.
arxiv
Process-Aware Analysis of Treatment Paths in Heart Failure Patients: A Case Study [PDF]
Process mining in healthcare presents a range of challenges when working with different types of data within the healthcare domain. There is high diversity considering the variety of data collected from healthcare processes: operational processes given by claims data, a collection of events during surgery, data related to pre-operative and post ...
arxiv +1 more source
Southwest Respiratory and Critical Care Chronicles, 2013 Cardiovascular disease is the leading cause of death in patients with chronic kidney disease. Heart failure may lead to acute kidney injury and vice versa. Chronic kidney disease may affect the clinical outcomes in patients with cardiovascular disorders.
Sabry Omar, Ahmed Zedan
doaj
Hypertension in Chronic Kidney Disease: Navigating the Evidence
International Journal of Hypertension, 2011 Hypertension is both an important cause and consequence of chronic kidney disease. Evidence from numerous clinical trials has demonstrated the benefit of blood pressure control. However, it remains unclear whether available results could be extrapolated
F. M. Tedla +3 more
doaj +1 more source
Development and Validation of a Dynamic Kidney Failure Prediction Model based on Deep Learning: A Real-World Study with External Validation [PDF]
arXivBackground: Chronic kidney disease (CKD), a progressive disease with high morbidity and mortality, has become a significant global public health problem. At present, most of the models used for predicting the progression of CKD are static models.
arxiv
Российский кардиологический журнал, 2019 Aim. To assess the efficiency of the program of prevention of chronic kidney disease (CKD) progression in patients with acute decompensation of chronic heart failure (CHF).
V. V. Davydov, E. L. Arekhina
doaj +1 more source
Using Soft Computer Techniques on Smart Devices for Monitoring Chronic Diseases: the CHRONIOUS case [PDF]
arXiv, 2011 CHRONIOUS is an Open, Ubiquitous and Adaptive Chronic Disease Management Platform for Chronic Obstructive Pulmonary Disease(COPD) Chronic Kidney Disease (CKD) and Renal Insufficiency. It consists of several modules: an ontology based literature search engine, a rule based decision support system, remote sensors interacting with lifestyle interfaces ...
arxiv