AIMC Topic: Renal Insufficiency, Chronic

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Development of prognostic model for patients at CKD stage 3a and 3b in South Central China using computational intelligence.

Clinical and experimental nephrology Aug 1, 2020
BACKGROUND: Chronic kidney disease (CKD) stage 3 was divided into two subgroups by eGFR (45 mL/ min 1.73 m). There is difference in prevalence of CKD, racial differences, economic development, genetic, and environmental backgrounds between China and ...
Adult Male Middle Aged Disease Progression Retrospective Studies Female Risk Factors Follow-Up Studies Models, Statistical Regression Analysis Kidney Failure, Chronic China Renal Insufficiency, Chronic Glomerular Filtration Rate Support Vector Machine Humans Neural Networks, Computer Prognosis
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On-clamp versus purely off-clamp robot-assisted partial nephrectomy in solitary kidneys: comparison of perioperative outcomes and chronic kidney disease progression at two high-volume centers.

Minerva urology and nephrology Jun 22, 2020
BACKGROUND: Minimal literature describes the impact of hilar control on the progression to chronic kidney disease (pCKD) after robotic partial nephrectomy (RPN) in solitary kidneys (SK). The aim of this study was to compare purely off-clamp (ocRPN) v...
Robotics Robotic Surgical Procedures Solitary Kidney Humans Nephrectomy Retrospective Studies Renal Insufficiency, Chronic Glomerular Filtration Rate
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Using machine learning models to predict the initiation of renal replacement therapy among chronic kidney disease patients.

PloS one Jun 5, 2020
Starting renal replacement therapy (RRT) for patients with chronic kidney disease (CKD) at an optimal time, either with hemodialysis or kidney transplantation, is crucial for patient's well-being and for successful management of the condition. In thi...
Humans Machine Learning Retrospective Studies Renal Replacement Therapy Clinical Decision-Making Time-to-Treatment Disease Progression Comorbidity Severity of Illness Index Renal Insufficiency, Chronic Time Factors Taiwan ROC Curve Models, Biological Datasets as Topic
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A deep learning algorithm to detect chronic kidney disease from retinal photographs in community-based populations.

The Lancet. Digital health May 12, 2020
BACKGROUND: Screening for chronic kidney disease is a challenge in community and primary care settings, even in high-income countries. We developed an artificial intelligence deep learning algorithm (DLA) to detect chronic kidney disease from retinal...
Middle Aged Deep Learning China Renal Insufficiency, Chronic Sensitivity and Specificity Cross-Sectional Studies Male Eye Diseases Photography Singapore Fundus Oculi Image Interpretation, Computer-Assisted Humans Algorithms Female Reproducibility of Results
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Opportunistic deep learning of retinal photographs: the window to the body revisited.

The Lancet. Digital health May 12, 2020
Humans Neural Networks, Computer Algorithms Deep Learning Renal Insufficiency, Chronic
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Clinical decision support system to predict chronic kidney disease: A fuzzy expert system approach.

International journal of medical informatics Mar 30, 2020
BACKGROUND AND OBJECTIVES: Diagnosis and early intervention of chronic kidney disease are essential to prevent loss of kidney function and a large amount of financial resources. To this end, we developed a fuzzy logic-based expert system for diagnosi...
Renal Insufficiency, Chronic Fuzzy Logic Expert Systems Humans Decision Support Systems, Clinical
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Evaluation of Glomerular Filtration Rate in Chronic Kidney Disease by Radial Basis Function Neural Network.

Transplantation proceedings Mar 19, 2020
OBJECTIVE: To develop a radial basis function (RBF) neural network and investigate its performance in the estimation of glomerular filtration rate (GFR) for patients with chronic kidney disease.
Glomerular Filtration Rate Kidney Function Tests Middle Aged Humans Kidney Neural Networks, Computer Renal Insufficiency, Chronic Female Aged Adult Male
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Machine learning distilled metabolite biomarkers for early stage renal injury.

Metabolomics : Official journal of the Metabolomic Society Dec 5, 2019
INTRODUCTION: With chronic kidney disease (CKD), kidney becomes damaged overtime and fails to clean blood. Around 15% of US adults have CKD and nine in ten adults with CKD do not know they have it.
Humans Glomerular Filtration Rate Aged Mass Spectrometry Severity of Illness Index Creatinine Machine Learning Adult Chromatography, High Pressure Liquid Biomarkers Case-Control Studies Male Female Renal Insufficiency, Chronic Middle Aged
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Predicting early risk of chronic kidney disease in cats using routine clinical laboratory tests and machine learning.

Journal of veterinary internal medicine Sep 26, 2019
BACKGROUND: Advanced machine learning methods combined with large sets of health screening data provide opportunities for diagnostic value in human and veterinary medicine.
Machine Learning Predictive Value of Tests Cats Software Cat Diseases Female Animals Male Renal Insufficiency, Chronic
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Combining a gravitational search algorithm, particle swarm optimization, and fuzzy rules to improve the classification performance of a feed-forward neural network.

Computer methods and programs in biomedicine Aug 8, 2019
BACKGROUND AND OBJECTIVE: A feed-forward neural network (FNN) is a type of artificial neural network that has been widely used in medical diagnosis, data mining, stock market analysis, and other fields. Many studies have used FNN to develop medical d...
Fuzzy Logic Algorithms Humans Data Mining Mesothelioma, Malignant Neural Networks, Computer Diagnostic Errors Mesothelioma Machine Learning Lung Neoplasms Renal Insufficiency, Chronic
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