AIMC Topic: Renal Dialysis

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Joint Deep-Learning-Enabled Impact of Holistic Care on Line Coagulation in Hemodialysis.

Journal of healthcare engineering Dec 16, 2021
In order to investigate the impact of holistic care on line coagulation and safety in hemodialysis and to address limitations of the conventional ultrasound flow vector imaging (VFM) technique, which requires proprietary software to acquire raw Doppl...
Renal Dialysis Heart Ventricles Blood Flow Velocity Humans Echocardiography Deep Learning
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Real-time prediction of intradialytic relative blood volume: a proof-of-concept for integrated cloud computing infrastructure.

BMC nephrology Aug 9, 2021
BACKGROUND: Inadequate refilling from extravascular compartments during hemodialysis can lead to intradialytic symptoms, such as hypotension, nausea, vomiting, and cramping/myalgia. Relative blood volume (RBV) plays an important role in adapting the ...
Male Middle Aged Renal Dialysis Kidney Failure, Chronic Machine Learning Prognosis Female Cloud Computing Blood Volume Body Fluid Compartments Muscle Cramp Hypotension Early Diagnosis Proof of Concept Study Humans Vomiting
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Dialysis adequacy predictions using a machine learning method.

Scientific reports Jul 29, 2021
Dialysis adequacy is an important survival indicator in patients with chronic hemodialysis. However, there are inconveniences and disadvantages to measuring dialysis adequacy by blood samples. This study used machine learning models to predict dialys...
Renal Dialysis Monitoring, Physiologic Linear Models Aged Humans Male Middle Aged Multivariate Analysis Software Deep Learning Blood Flow Velocity Female Blood Urea Nitrogen
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Assessing the Adequacy of Hemodialysis Patients via the Graph-Based Takagi-Sugeno-Kang Fuzzy System.

Computational and mathematical methods in medicine Jul 27, 2021
Maintenance hemodialysis is the main method for the treatment of end-stage renal disease in China. The / value is the gold standard of hemodialysis adequacy. However, / requires repeated blood drawing and evaluation; it is hard to monitor dialysis ad...
Kidney Failure, Chronic Feasibility Studies Models, Biological Quality of Health Care Renal Dialysis Computational Biology Fuzzy Logic Machine Learning Female Aged Male Middle Aged Humans Hemodynamics China
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A Self-Representation-Based Fuzzy SVM Model for Predicting Vascular Calcification of Hemodialysis Patients.

Computational and mathematical methods in medicine Jul 27, 2021
In end-stage renal disease (ESRD), vascular calcification risk factors are essential for the survival of hemodialysis patients. To effectively assess the level of vascular calcification, the machine learning algorithm can be used to predict the vascu...
Kidney Failure, Chronic Heart Disease Risk Factors Algorithms Aorta, Abdominal Female Vascular Calcification Aged Adult Computational Biology Humans Logistic Models Neural Networks, Computer Support Vector Machine Machine Learning Fuzzy Logic Male Middle Aged Renal Dialysis
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Machine learning approach in mortality rate prediction for hemodialysis patients.

Computer methods in biomechanics and biomedical engineering Jun 14, 2021
Kernel support vector machine algorithm and -means clustering algorithm are used to determine the expected mortality rate for hemodialysis patients. The national nephrology database of Montenegro has been used to conduct this research. Mortality rate...
Algorithms Renal Dialysis Support Vector Machine Cluster Analysis Humans Machine Learning
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Predictive Approaches for Acute Dialysis Requirement and Death in COVID-19.

Clinical journal of the American Society of Nephrology : CJASN May 24, 2021
BACKGROUND AND OBJECTIVES: AKI treated with dialysis initiation is a common complication of coronavirus disease 2019 (COVID-19) among hospitalized patients. However, dialysis supplies and personnel are often limited.
Renal Dialysis Humans Machine Learning COVID-19 Acute Kidney Injury SARS-CoV-2 Hospitalization
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Construction data mining methods in the prediction of death in hemodialysis patients using support vector machine, neural network, logistic regression and decision tree.

Journal of preventive medicine and hygiene Apr 29, 2021
OBJECTIVES: Chronic kidney disease (CKD) is one of the main causes of morbidity and mortality worldwide. Detecting survival modifiable factors could help in prioritizing the clinical care and offers a treatment decision-making for hemodialysis patien...
Data Mining Neural Networks, Computer Renal Dialysis Logistic Models Renal Insufficiency, Chronic Support Vector Machine Regression Analysis Decision Trees Humans
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A novel approach to dry weight adjustments for dialysis patients using machine learning.

PloS one Apr 23, 2021
BACKGROUND AND AIMS: Knowledge of the proper dry weight plays a critical role in the efficiency of dialysis and the survival of hemodialysis patients. Recently, bioimpedance spectroscopy(BIS) has been widely used for set dry weight in hemodialysis pa...
Humans Machine Learning Female Body Weight Hemoglobins Body Water Electric Impedance Serum Albumin Extracellular Space Renal Dialysis Adipose Tissue Kidney Failure, Chronic Creatinine Aged Male Middle Aged
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Artificial Intelligence Methods for Rapid Vascular Access Aneurysm Classification in Remote or In-Person Settings.

Blood purification Apr 15, 2021
BACKGROUND: Innovations in artificial intelligence (AI) have proven to be effective contributors to high-quality health care. We examined the beneficial role AI can play in noninvasively grading vascular access aneurysms to reduce high-morbidity even...
Smartphone Kidney Failure, Chronic Aneurysm Diagnosis, Computer-Assisted Renal Dialysis Image Processing, Computer-Assisted Humans Artificial Intelligence
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