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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 electronic resource (276 p.) |
| Soggetto topico | Medicine |
| Soggetto non controllato |
poststreptococcal acute glomerulonephritis
infection-related glomerulonephritis nephritis-associated plasmin receptor plasmin acute kidney injury renal biomarkers furosemide stress test functional assessment urine diabetic kidney disease kidney function proteomics mass spectrometry statistical clinical model machine learning acute tubulointerstitial nephritis immunology biomarkers chronic kidney disease differential diagnosis label-free quantification renal transplant extracellular vesicles acute rejection chronic rejection chronic allograft dysfunction calcineurin-inhibitor nephrotoxicity Polyomavirus associated nephropathy immunosuppression upper urinary tract obstruction kidney injury neutrophil gelatinase-associated lipocalin monocyte chemotactic protein-1 kidney injury molecule 1 cystatin C vanin-1 microRNA uromodulin kidney graft function biomarker kidney transplantation long noncoding RNA rejection microvascular injury urinary aminopeptidases arterial hypertension renal function urinary biomarkers markers of AKI cystatin-C NGAL KIM-1 exercise end-stage kidney disease (ESKD) cardiovascular disease epidemiology CKD macrophage subpopulation renal fibrosis trichostatin A kidney graft T-cell-mediated rejection antibody-mediated rejection diagnostic test accuracy gentamicin sepsis miRNA nephrotoxicity vancomycin |
| 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 electronic resource (212 p.) |
| Soggetto topico |
Medicine
Pharmacology |
| Soggetto non controllato |
data sharing
data management data science big data healthcare depression psychological treatment task sharing primary care pilot study non-specialist health worker training digital technology mental health COVID-19 SARS-CoV-2 pneumonia computed tomography case fatality rate social distancing smoking metabolically healthy obese phenotype metabolic syndrome obesity coronavirus machine learning social media apache spark Arabic language distributed computing smart cities smart healthcare smart governance Triple Bottom Line (TBL) thoracic pain tree classification cross-validation hand-foot-and-mouth disease early-warning model neural network genetic algorithm sentinel surveillance system outbreak prediction artificial intelligence vascular access surveillance arteriovenous fistula end stage kidney disease dialysis kidney failure chronic kidney disease (CKD) end-stage kidney disease (ESKD) kidney replacement therapy (KRT) risk prediction naïve Bayes classifiers precision medicine machine learning models data exploratory techniques breast cancer diagnosis tumors classification |
| 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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