Info
Biomarkers of Renal Diseases
| Biomarkers of Renal Diseases |
| Autore | García-Estañ Joaquín |
| Pubbl/distr/stampa | Basel, Switzerland, : MDPI - Multidisciplinary Digital Publishing Institute, 2021 |
| Descrizione fisica | 1 online resource (276 p.) |
| Soggetto topico | Medicine and Nursing |
| Soggetto non controllato |
acute kidney injury
acute rejection acute tubulointerstitial nephritis antibody-mediated rejection arterial hypertension biomarker biomarkers calcineurin-inhibitor nephrotoxicity cardiovascular disease chronic allograft dysfunction chronic kidney disease chronic rejection CKD cystatin C cystatin-C diabetic kidney disease diagnostic test accuracy differential diagnosis end-stage kidney disease (ESKD) epidemiology exercise extracellular vesicles functional assessment furosemide stress test gentamicin immunology immunosuppression infection-related glomerulonephritis kidney function kidney graft kidney graft function kidney injury kidney injury molecule 1 kidney transplantation KIM-1 label-free quantification long noncoding RNA machine learning macrophage subpopulation markers of AKI mass spectrometry microRNA microvascular injury miRNA monocyte chemotactic protein-1 n/a nephritis-associated plasmin receptor nephrotoxicity neutrophil gelatinase-associated lipocalin NGAL plasmin Polyomavirus associated nephropathy poststreptococcal acute glomerulonephritis proteomics rejection renal biomarkers renal fibrosis renal function renal transplant sepsis statistical clinical model T-cell-mediated rejection trichostatin A upper urinary tract obstruction urinary aminopeptidases urinary biomarkers urine uromodulin vancomycin vanin-1 |
| Formato | Materiale a stampa  |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Record Nr. | UNINA-9910557493003321 |
García-Estañ Joaquín
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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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Data Science in Healthcare
| Data Science in Healthcare |
| Autore | Hulsen Tim |
| Pubbl/distr/stampa | Basel, : MDPI - Multidisciplinary Digital Publishing Institute, 2022 |
| Descrizione fisica | 1 online resource (212 p.) |
| Soggetto topico |
Medicine and Nursing
Pharmacology |
| Soggetto non controllato |
apache spark
Arabic language arteriovenous fistula artificial intelligence big data breast cancer diagnosis case fatality rate chronic kidney disease (CKD) computed tomography coronavirus COVID-19 cross-validation data exploratory techniques data management data science data sharing depression dialysis digital technology distributed computing early-warning model end stage kidney disease end-stage kidney disease (ESKD) genetic algorithm hand-foot-and-mouth disease healthcare kidney failure kidney replacement therapy (KRT) machine learning machine learning models mental health metabolic syndrome metabolically healthy obese phenotype n/a naïve Bayes classifiers neural network non-specialist health worker obesity outbreak prediction pilot study pneumonia precision medicine primary care psychological treatment risk prediction SARS-CoV-2 sentinel surveillance system smart cities smart governance smart healthcare smoking social distancing social media task sharing thoracic pain training tree classification Triple Bottom Line (TBL) tumors classification vascular access surveillance |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Record Nr. | UNINA-9910576885103321 |
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Hulsen Tim
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| Basel, : MDPI - Multidisciplinary Digital Publishing Institute, 2022 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
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