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Clinical Studies, Big Data, and Artificial Intelligence in Nephrology and Transplantation
| Clinical Studies, Big Data, and Artificial Intelligence in Nephrology and Transplantation |
| Autore | Cheungpasitporn Wisit |
| Pubbl/distr/stampa | Basel, Switzerland, : MDPI - Multidisciplinary Digital Publishing Institute, 2021 |
| Descrizione fisica | 1 electronic resource (374 p.) |
| Soggetto topico | Medicine |
| Soggetto non controllato |
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 |
| Formato | Materiale a stampa  |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Record Nr. | UNINA-9910557367503321 |
Cheungpasitporn Wisit
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| Basel, Switzerland, : MDPI - Multidisciplinary Digital Publishing Institute, 2021 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
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Hemomath : The Mathematics of Blood / Antonio Fasano, Adélia Sequeira
| Hemomath : The Mathematics of Blood / Antonio Fasano, Adélia Sequeira |
| Autore | Fasano, Antonio |
| Pubbl/distr/stampa | Cham, : Springer, 2017 |
| Descrizione fisica | xvii, 340 p. : ill. ; 24 cm |
| Altri autori (Persone) | Sequeira, Adélia |
| Soggetto topico |
92-XX - Biology and other natural sciences [MSC 2020]
76Zxx - Biological fluid mechanics [MSC 2020] 92C35 - Physiological flow [MSC 2020] |
| Soggetto non controllato |
Biomathematics
Dialysis Hematology Hemorheology Nephrology |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Titolo uniforme | |
| Record Nr. | UNICAMPANIA-VAN0123995 |
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Fasano, Antonio
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| Cham, : Springer, 2017 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Vanvitelli | ||
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Hemomath : The Mathematics of Blood / Antonio Fasano, Adélia Sequeira
| Hemomath : The Mathematics of Blood / Antonio Fasano, Adélia Sequeira |
| Autore | Fasano, Antonio |
| Pubbl/distr/stampa | Cham, : Springer, 2017 |
| Descrizione fisica | xvii, 340 p. : ill. ; 24 cm |
| Altri autori (Persone) | Sequeira, Adélia |
| Soggetto topico |
76Zxx - Biological fluid mechanics [MSC 2020]
92-XX - Biology and other natural sciences [MSC 2020] 92C35 - Physiological flow [MSC 2020] |
| Soggetto non controllato |
Biomathematics
Dialysis Hematology Hemorheology Nephrology |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Titolo uniforme | |
| Record Nr. | UNICAMPANIA-VAN00123995 |
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Fasano, Antonio
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| Cham, : Springer, 2017 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Vanvitelli | ||
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