AIMC Topic: Kidney Failure, Chronic

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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...
Kidney Failure, Chronic Aneurysm Humans Artificial Intelligence Diagnosis, Computer-Assisted Renal Dialysis Image Processing, Computer-Assisted Smartphone
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Artificial intelligence supported anemia control system (AISACS) to prevent anemia in maintenance hemodialysis patients.

International journal of medical sciences Feb 22, 2021
Anemia, for which erythropoiesis-stimulating agents (ESAs) and iron supplements (ISs) are used as preventive measures, presents important difficulties for hemodialysis patients. Nevertheless, the number of physicians able to manage such medications a...
Electronic Health Records Female Aged Aged, 80 and over Adult Kidney Failure, Chronic Humans Hemoglobins Machine Learning Anemia Male Retrospective Studies Datasets as Topic Middle Aged Hematinics Renal Dialysis Decision Support Systems, Clinical Iron
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An Interpretable Machine Learning Survival Model for Predicting Long-term Kidney Outcomes in IgA Nephropathy.

AMIA ... Annual Symposium proceedings. AMIA Symposium Jan 25, 2021
IgA nephropathy (IgAN) is common worldwide and has heterogeneous phenotypes. Predicting long-term outcomes is important for clinical decision-making. As right-censored patients become common during the long-term follow-up, either excluding these pati...
Glomerulonephritis, IGA Middle Aged Humans Disease Progression Machine Learning Cohort Studies Prognosis Kidney Adult Kidney Failure, Chronic
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Machine learning algorithm for early detection of end-stage renal disease.

BMC nephrology Nov 27, 2020
BACKGROUND: End stage renal disease (ESRD) describes the most severe stage of chronic kidney disease (CKD), when patients need dialysis or renal transplant. There is often a delay in recognizing, diagnosing, and treating the various etiologies of CKD...
Humans Machine Learning Renal Insufficiency, Chronic Predictive Value of Tests Kidney Failure, Chronic Early Diagnosis Male Middle Aged Algorithms Disease Progression ROC Curve Databases, Factual Logistic Models Prognosis Female
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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 ...
Risk Factors Adult Male Middle Aged Disease Progression Neural Networks, Computer Prognosis Retrospective Studies Female Models, Statistical Regression Analysis Kidney Failure, Chronic China Renal Insufficiency, Chronic Glomerular Filtration Rate Support Vector Machine Follow-Up Studies Humans
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Identifying scenarios of benefit or harm from kidney transplantation during the COVID-19 pandemic: A stochastic simulation and machine learning study.

American journal of transplantation : official journal of the American Society of Transplantation and the American Society of Transplant Surgeons Jul 15, 2020
Clinical decision-making in kidney transplant (KT) during the coronavirus disease 2019 (COVID-19) pandemic is understandably a conundrum: both candidates and recipients may face increased acquisition risks and case fatality rates (CFRs). Given our po...
Middle Aged SARS-CoV-2 Infant Aged Adolescent Young Adult Humans Child, Preschool Adult Tissue Donors Machine Learning COVID-19 Child Male United States Pandemics Kidney Transplantation Kidney Failure, Chronic Female Waiting Lists Infant, Newborn
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Using Artificial Intelligence Resources in Dialysis and Kidney Transplant Patients: A Literature Review.

BioMed research international Jun 10, 2020
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...
Humans Artificial Intelligence Algorithms Kidney Transplantation Quality of Life Renal Dialysis Models, Statistical Graft Rejection Kidney Failure, Chronic Decision Making, Computer-Assisted
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Application of explainable ensemble artificial intelligence model to categorization of hemodialysis-patient and treatment using nationwide-real-world data in Japan.

PloS one May 29, 2020
BACKGROUND: Although dialysis patients are at a high risk of death, it is difficult for medical practitioners to simultaneously evaluate many inter-related risk factors. In this study, we evaluated the characteristics of hemodialysis patients using m...
Renal Dialysis Cohort Studies Logistic Models Support Vector Machine Cluster Analysis Kidney Failure, Chronic Japan Decision Making, Computer-Assisted Humans Artificial Intelligence Machine Learning Aged, 80 and over Databases, Factual Prognosis Adult Prospective Studies Male Female Middle Aged Risk Factors Deep Learning Aged
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Value of a Machine Learning Approach for Predicting Clinical Outcomes in Young Patients With Hypertension.

Hypertension (Dallas, Tex. : 1979) Mar 16, 2020
Risk stratification of young patients with hypertension remains challenging. Generally, machine learning (ML) is considered a promising alternative to traditional methods for clinical predictions because it is capable of processing large amounts of c...
Humans Machine Learning Follow-Up Studies Antihypertensive Agents Kidney Failure, Chronic Stroke Heart Diseases Forecasting Young Adult Models, Biological Proportional Hazards Models Adult Prospective Studies Adolescent Prognosis Hypertension Hospitalization Treatment Outcome
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[Long-term efficacy of parathyroidectomy in secondary and tertiary hyperparathyroidism].

Revista medica del Instituto Mexicano del Seguro Social Dec 30, 2019
BACKGROUND: Secondary and tertiary hyperparathyroidism (SHPT and THPT), are complications of chronic kidney disease (CKD), characterized by high levels of serum parathormone, hyperphosphatemia or hypercalcemia, respectively. If diet and pharmacologic...
Hyperparathyroidism, Secondary Humans Parathyroidectomy Retrospective Studies Male Chi-Square Distribution Female Hypocalcemia Mexico Adult Hyperparathyroidism Kidney Failure, Chronic Parathyroid Hormone
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