Clinical Studies, Big Data, and Artificial Intelligence in Nephrology and Transplantation

• Andere auteurs: Cheungpasitporn, Wisit (Redacteur), Thongprayoon, Charat (Redacteur), Kaewput, Wisit (Redacteur)
• Formaat: Elektronisch Hoofdstuk
• Taal: Engels
• Gepubliceerd in: Basel, Switzerland MDPI - Multidisciplinary Digital Publishing Institute 2021
• Onderwerpen: Medicine; tacrolimus; C/D ratio; tacrolimus metabolism; everolimus; conversion; kidney transplantation; gut microbiome; renal transplant recipient; diarrhea; immunosuppressive medication; gut microbiota; 16S rRNA sequencing; butyrate-producing bacteria; Proteobacteria; torquetenovirus; immunosuppression; transplantation; immunosuppressed host; outcome; renal transplantation; Goodpasture syndrome; anti-GBM disease; epidemiology; hospitalization; outcomes; acute kidney injury; risk prediction; artificial intelligence; patent ductus arteriosus; conservative management; blood pressure; eradication; interferon-free regimen; hepatitis C infection; kidney transplant; allograft steatosis; lipopeliosis; transplant numbers; live donors; public awareness; Google TrendsTM; machine learning; big data; nephrology; chronic kidney disease; NLR; PLR; RPGN; predictive value; hemodialysis; withdrawal; cellular crescent; global sclerosis; procurement kidney biopsy; glomerulosclerosis; minimally-invasive donor nephrectomy; robot-assisted surgery; laparoscopic surgery; organ donation; living kidney donation; MeltDose®; LCPT; renal function; liver transplantation; metabolism; erythropoietin; fibroblast growth factor 23; death; weekend effect; in-hospital mortality; comorbidity; dialysis; elderly; klotho; α-Klotho; FGF-23; kidney donor; Nephrology; CKD-MBD; CKD-Mineral and Bone Disorder; deceased donor; Eurotransplant Senior Program; risk stratification; intensive care; kidney transplant recipients; long-term outcomes; graft failure; cardiovascular mortality; lifestyle; inflammation; vascular calcification; bone mineral density; dual-energy X-ray absorptiometry; living donation; repeated kidney transplantation; graft survival; prolonged ischaemic time; patient survival; pre-emptive transplantation; metabolomics; urine; acute rejection; allograft; cystatin C; hyperfiltration; kidney injury molecule (KIM)-1; tubular damage; genetic polymorphisms; (cardiac) surgery; inflammatory cytokines; clinical studies; chronic kidney disease (CKD); no known kidney disease (NKD); ICD-10 billing codes; phenotyping; electronic health record (EHR); estimated glomerular filtration rate (eGFR); machine learning (ML); generalized linear model network (GLMnet); random forest (RF); artificial neural network (ANN), clinical natural language processing (clinical NLP); discharge summaries; laboratory values; area under the receiver operating characteristic (AUROC); area under the precision-recall curve (AUCPR); fibrosis; extracellular matrix; collagen type VI; living-donor kidney transplantation; ethnic disparity
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In recent years, artificial intelligence has increasingly been playing an essential role in diverse areas in medicine, assisting clinicians in patient management. In nephrology and transplantation, artificial intelligence can be utilized to enhance clinical care, such as through hemodialysis prescri...