AIMC Topic: Renal Dialysis

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Early prediction of hemodialysis complications employing ensemble techniques.

Biomedical engineering online Oct 11, 2022
BACKGROUND AND OBJECTIVES: Hemodialysis complications remain a critical threat among dialysis patients. They result in sudden termination of the session which impacts the efficiency of dialysis. As intra-dialytic complications are the result of the i...
Artificial Intelligence Machine Learning Algorithms Renal Dialysis Humans
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Deep Learning-Based Digital Subtraction Angiography Characteristics in Nursing of Maintenance Hemodialysis Patients.

Contrast media & molecular imaging Aug 27, 2022
This study is aimed at exploring the diagnostic value of digital subtraction angiography (DSA) based on faster region-based convolutional networks (Faster-RCNN) deep learning for maintenance hemodialysis (MHD) diseases and to provide a theoretical ba...
Humans Deep Learning Renal Dialysis Angiography, Digital Subtraction
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A Machine Learning Model for Predicting Mortality within 90 Days of Dialysis Initiation.

Kidney360 Jul 20, 2022
BACKGROUND: The first 90 days after dialysis initiation are associated with high morbidity and mortality in end-stage kidney disease (ESKD) patients. A machine learning-based tool for predicting mortality could inform patient-clinician shared decisio...
Time Factors United States Treatment Outcome Risk Assessment Renal Dialysis Cohort Studies Models, Statistical Kidney Failure, Chronic Adult Humans Female Male Machine Learning Reproducibility of Results
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Construction of a prediction model for drug removal rate in hemodialysis based on chemical structures.

Molecular diversity Jan 1, 2022
In designing drug dosing for hemodialysis patients, the removal rate (RR) of the drug by hemodialysis is important. However, acquiring the RR is difficult, and there is a need for an estimation method that can be used in clinical settings. In this st...
Quantitative Structure-Activity Relationship Neural Networks, Computer Humans Renal Dialysis Least-Squares Analysis
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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 Humans Heart Ventricles Echocardiography Blood Flow Velocity 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 ...
Hypotension Early Diagnosis Proof of Concept Study Middle Aged Renal Dialysis Kidney Failure, Chronic Body Fluid Compartments Muscle Cramp Vomiting Cloud Computing Blood Volume Humans Machine Learning Prognosis Female Male
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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...
Blood Urea Nitrogen Linear Models Multivariate Analysis Blood Flow Velocity Deep Learning Renal Dialysis Monitoring, Physiologic Humans Software Male Middle Aged Female Aged
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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...
Computational Biology Fuzzy Logic Kidney Failure, Chronic Hemodynamics China Renal Dialysis Feasibility Studies Humans Models, Biological Aged Machine Learning Quality of Health Care Male Female Middle Aged
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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...
Computational Biology Logistic Models Support Vector Machine Heart Disease Risk Factors Aorta, Abdominal Fuzzy Logic Kidney Failure, Chronic Humans Male Female Neural Networks, Computer Middle Aged Vascular Calcification Aged Machine Learning Renal Dialysis Adult Algorithms
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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...
Cluster Analysis Algorithms Renal Dialysis Support Vector Machine Humans Machine Learning
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