AIMC Topic: Renal Dialysis

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Evaluation of Hemodialysis Arteriovenous Bruit by Deep Learning.

Sensors (Basel, Switzerland)
Physical findings of auscultation cannot be quantified at the arteriovenous fistula examination site during daily dialysis treatment. Consequently, minute changes over time cannot be recorded based only on subjective observations. In this study, we s...

Using Artificial Intelligence Resources in Dialysis and Kidney Transplant Patients: A Literature Review.

BioMed research international
BACKGROUND: The purpose of this review is to depict current research and impact of artificial intelligence/machine learning (AI/ML) algorithms on dialysis and kidney transplantation. Published studies were presented from two points of view: What medi...

Predictive modeling of blood pressure during hemodialysis: a comparison of linear model, random forest, support vector regression, XGBoost, LASSO regression and ensemble method.

Computer methods and programs in biomedicine
BACKGROUND: Intradialytic hypotension (IDH) is commonly occurred and links to higher mortality among patients undergoing hemodialysis (HD). Its early prediction and prevention will dramatically improve the quality of life. However, predicting the occ...

Natural language processing of electronic health records is superior to billing codes to identify symptom burden in hemodialysis patients.

Kidney international
Symptoms are common in patients on maintenance hemodialysis but identification is challenging. New informatics approaches including natural language processing (NLP) can be utilized to identify symptoms from narrative clinical documentation. Here we ...

An integrated model using the Taguchi method and artificial neural network to improve artificial kidney solidification parameters.

Biomedical engineering online
BACKGROUND: Hemodialysis mainly relies on the "artificial kidney," which plays a very important role in temporarily or permanently substituting for the kidney to carry out the exchange of waste and discharge of water. Nevertheless, a previous study o...

An Equation Based on Fuzzy Mathematics to Assess the Timing of Haemodialysis Initiation.

Scientific reports
In order to develop an equation that integrates multiple clinical factors including signs and symptoms associated with uraemia to assess the initiation of dialysis, we conducted a retrospective cohort study including 25 haemodialysis centres in Mainl...

Prediction of Hemodialysis Timing Based on LVW Feature Selection and Ensemble Learning.

Journal of medical systems
We propose an improved model based on LVW embedded model feature extractor and ensemble learning for improving prediction accuracy of hemodialysis timing in this paper. Due to this drawback caused by feature extraction models, we adopt an enhanced LV...