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dc.contributor.editorCheungpasitporn, Wisit
dc.contributor.editorThongprayoon, Charat
dc.contributor.editorKaewput, Wisit
dc.date.accessioned2022-01-11T13:32:13Z
dc.date.available2022-01-11T13:32:13Z
dc.date.issued2021
dc.identifierONIX_20220111_9783036511344_183
dc.identifier.urihttps://directory.doabooks.org/handle/20.500.12854/76447
dc.description.abstractIn 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.
dc.languageEnglish
dc.subject.classificationthema EDItEUR::M Medicine and Nursingen_US
dc.subject.othertacrolimus
dc.subject.otherC/D ratio
dc.subject.othertacrolimus metabolism
dc.subject.othereverolimus
dc.subject.otherconversion
dc.subject.otherkidney transplantation
dc.subject.othergut microbiome
dc.subject.otherrenal transplant recipient
dc.subject.otherdiarrhea
dc.subject.otherimmunosuppressive medication
dc.subject.othergut microbiota
dc.subject.other16S rRNA sequencing
dc.subject.otherbutyrate-producing bacteria
dc.subject.otherProteobacteria
dc.subject.othertorquetenovirus
dc.subject.otherimmunosuppression
dc.subject.othertransplantation
dc.subject.otherimmunosuppressed host
dc.subject.otheroutcome
dc.subject.otherrenal transplantation
dc.subject.otherGoodpasture syndrome
dc.subject.otheranti-GBM disease
dc.subject.otherepidemiology
dc.subject.otherhospitalization
dc.subject.otheroutcomes
dc.subject.otheracute kidney injury
dc.subject.otherrisk prediction
dc.subject.otherartificial intelligence
dc.subject.otherpatent ductus arteriosus
dc.subject.otherconservative management
dc.subject.otherblood pressure
dc.subject.othereradication
dc.subject.otherinterferon-free regimen
dc.subject.otherhepatitis C infection
dc.subject.otherkidney transplant
dc.subject.otherallograft steatosis
dc.subject.otherlipopeliosis
dc.subject.othertransplant numbers
dc.subject.otherlive donors
dc.subject.otherpublic awareness
dc.subject.otherGoogle TrendsTM
dc.subject.othermachine learning
dc.subject.otherbig data
dc.subject.othernephrology
dc.subject.otherchronic kidney disease
dc.subject.otherNLR
dc.subject.otherPLR
dc.subject.otherRPGN
dc.subject.otherpredictive value
dc.subject.otherhemodialysis
dc.subject.otherwithdrawal
dc.subject.othercellular crescent
dc.subject.otherglobal sclerosis
dc.subject.otherprocurement kidney biopsy
dc.subject.otherglomerulosclerosis
dc.subject.otherminimally-invasive donor nephrectomy
dc.subject.otherrobot-assisted surgery
dc.subject.otherlaparoscopic surgery
dc.subject.otherorgan donation
dc.subject.otherliving kidney donation
dc.subject.otherMeltDose®
dc.subject.otherLCPT
dc.subject.otherrenal function
dc.subject.otherliver transplantation
dc.subject.othermetabolism
dc.subject.othererythropoietin
dc.subject.otherfibroblast growth factor 23
dc.subject.otherdeath
dc.subject.otherweekend effect
dc.subject.otherin-hospital mortality
dc.subject.othercomorbidity
dc.subject.otherdialysis
dc.subject.otherelderly
dc.subject.otherklotho
dc.subject.otherα-Klotho
dc.subject.otherFGF-23
dc.subject.otherkidney donor
dc.subject.otherNephrology
dc.subject.otherCKD-MBD
dc.subject.otherCKD-Mineral and Bone Disorder
dc.subject.otherdeceased donor
dc.subject.otherEurotransplant Senior Program
dc.subject.otherrisk stratification
dc.subject.otherintensive care
dc.subject.otherkidney transplant recipients
dc.subject.otherlong-term outcomes
dc.subject.othergraft failure
dc.subject.othercardiovascular mortality
dc.subject.otherlifestyle
dc.subject.otherinflammation
dc.subject.othervascular calcification
dc.subject.otherbone mineral density
dc.subject.otherdual-energy X-ray absorptiometry
dc.subject.otherliving donation
dc.subject.otherrepeated kidney transplantation
dc.subject.othergraft survival
dc.subject.otherprolonged ischaemic time
dc.subject.otherpatient survival
dc.subject.otherpre-emptive transplantation
dc.subject.othermetabolomics
dc.subject.otherurine
dc.subject.otheracute rejection
dc.subject.otherallograft
dc.subject.othercystatin C
dc.subject.otherhyperfiltration
dc.subject.otherkidney injury molecule (KIM)-1
dc.subject.othertubular damage
dc.subject.othergenetic polymorphisms
dc.subject.other(cardiac) surgery
dc.subject.otherinflammatory cytokines
dc.subject.otherclinical studies
dc.subject.otherchronic kidney disease (CKD)
dc.subject.otherno known kidney disease (NKD)
dc.subject.otherICD-10 billing codes
dc.subject.otherphenotyping
dc.subject.otherelectronic health record (EHR)
dc.subject.otherestimated glomerular filtration rate (eGFR)
dc.subject.othermachine learning (ML)
dc.subject.othergeneralized linear model network (GLMnet)
dc.subject.otherrandom forest (RF)
dc.subject.otherartificial neural network (ANN), clinical natural language processing (clinical NLP)
dc.subject.otherdischarge summaries
dc.subject.otherlaboratory values
dc.subject.otherarea under the receiver operating characteristic (AUROC)
dc.subject.otherarea under the precision-recall curve (AUCPR)
dc.subject.otherfibrosis
dc.subject.otherextracellular matrix
dc.subject.othercollagen type VI
dc.subject.otherliving-donor kidney transplantation
dc.subject.otherethnic disparity
dc.titleClinical Studies, Big Data, and Artificial Intelligence in Nephrology and Transplantation
dc.typebook
oapen.identifier.doi10.3390/books978-3-0365-1135-1
oapen.relation.isPublishedBy46cabcaa-dd94-4bfe-87b4-55023c1b36d0
oapen.relation.isbn9783036511344
oapen.relation.isbn9783036511351
oapen.pages374
oapen.place.publicationBasel, Switzerland


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