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



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Autore: Cheungpasitporn Wisit Visualizza persona
Titolo: Clinical Studies, Big Data, and Artificial Intelligence in Nephrology and Transplantation Visualizza cluster
Pubblicazione: Basel, Switzerland, : MDPI - Multidisciplinary Digital Publishing Institute, 2021
Descrizione fisica: 1 online resource (374 p.)
Soggetto topico: Medicine and Nursing
Soggetto non controllato: (cardiac) surgery
16S rRNA sequencing
acute kidney injury
acute rejection
allograft
allograft steatosis
anti-GBM disease
area under the precision-recall curve (AUCPR)
area under the receiver operating characteristic (AUROC)
artificial intelligence
artificial neural network (ANN), clinical natural language processing (clinical NLP)
big data
blood pressure
bone mineral density
butyrate-producing bacteria
C/D ratio
cardiovascular mortality
cellular crescent
chronic kidney disease
chronic kidney disease (CKD)
CKD-MBD
CKD-Mineral and Bone Disorder
clinical studies
collagen type VI
comorbidity
conservative management
conversion
cystatin C
death
deceased donor
dialysis
diarrhea
discharge summaries
dual-energy X-ray absorptiometry
elderly
electronic health record (EHR)
epidemiology
eradication
erythropoietin
estimated glomerular filtration rate (eGFR)
ethnic disparity
Eurotransplant Senior Program
everolimus
extracellular matrix
FGF-23
fibroblast growth factor 23
fibrosis
generalized linear model network (GLMnet)
genetic polymorphisms
global sclerosis
glomerulosclerosis
Goodpasture syndrome
Google TrendsTM
graft failure
graft survival
gut microbiome
gut microbiota
hemodialysis
hepatitis C infection
hospitalization
hyperfiltration
ICD-10 billing codes
immunosuppressed host
immunosuppression
immunosuppressive medication
in-hospital mortality
inflammation
inflammatory cytokines
intensive care
interferon-free regimen
kidney donor
kidney injury molecule (KIM)-1
kidney transplant
kidney transplant recipients
kidney transplantation
klotho
laboratory values
laparoscopic surgery
LCPT
lifestyle
lipopeliosis
live donors
liver transplantation
living donation
living kidney donation
living-donor kidney transplantation
long-term outcomes
machine learning
machine learning (ML)
MeltDose®
metabolism
metabolomics
minimally-invasive donor nephrectomy
nephrology
Nephrology
NLR
no known kidney disease (NKD)
organ donation
outcome
outcomes
patent ductus arteriosus
patient survival
phenotyping
PLR
pre-emptive transplantation
predictive value
procurement kidney biopsy
prolonged ischaemic time
Proteobacteria
public awareness
random forest (RF)
renal function
renal transplant recipient
renal transplantation
repeated kidney transplantation
risk prediction
risk stratification
robot-assisted surgery
RPGN
tacrolimus
tacrolimus metabolism
torquetenovirus
transplant numbers
transplantation
tubular damage
urine
vascular calcification
weekend effect
withdrawal
α-Klotho
Persona (resp. second.): ThongprayoonCharat
KaewputWisit
CheungpasitpornWisit
Sommario/riassunto: 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 prescriptions and the follow-up of kidney transplant patients. Furthermore, there are rapidly expanding applications and validations of comprehensive, computerized medical records and related databases, including national registries, health insurance, and drug prescriptions. For this Special Issue, we made a call to action to stimulate researchers and clinicians to submit their invaluable works and present, here, a collection of articles covering original clinical research (single- or multi-center), database studies from registries, meta-analyses, and artificial intelligence research in nephrology including acute kidney injury, electrolytes and acid-base, chronic kidney disease, glomerular disease, dialysis, and transplantation that will provide additional knowledge and skills in the field of nephrology and transplantation toward improving patient outcomes.
Titolo autorizzato: Clinical Studies, Big Data, and Artificial Intelligence in Nephrology and Transplantation  Visualizza cluster
Formato: Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione: Inglese
Record Nr.: 9910557367503321
Lo trovi qui: Univ. Federico II
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