Big Data in Dental Research and Oral Healthcare |
Autore | Joda Tim |
Pubbl/distr/stampa | Basel, Switzerland, : MDPI - Multidisciplinary Digital Publishing Institute, 2021 |
Descrizione fisica | 1 electronic resource (112 p.) |
Soggetto topico | Medicine |
Soggetto non controllato |
digital transformation
rapid prototyping augmented and virtual reality (AR/VR) artificial intelligence (AI) machine learning (ML) personalized dental medicine tele-health patient-centered outcomes integrated care, medical–dental integration, simulation model, dental research oral medicine oral healthcare dentistry gerodontology elderly patient big data Big Data digital dentistry oral health ethical issues dental education augmented reality (AR) virtual reality (VR) artificial intelligence AI machine learning ML cone beam computed tomography (CBCT) intraoral scanning facial scanning healthcare cost medical healthcare cost dental healthcare cost zero-inflated model neural network |
Formato | Materiale a stampa |
Livello bibliografico | Monografia |
Lingua di pubblicazione | eng |
Record Nr. | UNINA-9910557123403321 |
Joda Tim | ||
Basel, Switzerland, : MDPI - Multidisciplinary Digital Publishing Institute, 2021 | ||
Materiale a stampa | ||
Lo trovi qui: Univ. Federico II | ||
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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 | ||
Basel, Switzerland, : MDPI - Multidisciplinary Digital Publishing Institute, 2021 | ||
Materiale a stampa | ||
Lo trovi qui: Univ. Federico II | ||
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Recent Advances and Applications of Machine Learning in Metal Forming Processes |
Autore | Prates Pedro |
Pubbl/distr/stampa | Basel, : MDPI - Multidisciplinary Digital Publishing Institute, 2022 |
Descrizione fisica | 1 electronic resource (210 p.) |
Soggetto topico |
Technology: general issues
History of engineering & technology Mining technology & engineering |
Soggetto non controllato |
sheet metal forming
uncertainty analysis metamodeling machine learning hot rolling strip edge defects intelligent recognition convolutional neural networks deep-drawing kriging metamodeling multi-objective optimization FE (Finite Element) AutoForm robust analysis defect prediction mechanical properties prediction high-dimensional data feature selection maximum information coefficient complex network clustering ring rolling process energy estimation metal forming thermo-mechanical FEM analysis artificial neural network aluminum alloy mechanical property UTS topological optimization artificial neural networks (ANN) machine learning (ML) press-brake bending air-bending three-point bending test sheet metal buckling instability oil canning artificial intelligence convolution neural network hot rolled strip steel defect classification generative adversarial network attention mechanism deep learning mechanical constitutive model finite element analysis plasticity parameter identification full-field measurements |
ISBN | 3-0365-5772-5 |
Formato | Materiale a stampa |
Livello bibliografico | Monografia |
Lingua di pubblicazione | eng |
Record Nr. | UNINA-9910637782503321 |
Prates Pedro | ||
Basel, : MDPI - Multidisciplinary Digital Publishing Institute, 2022 | ||
Materiale a stampa | ||
Lo trovi qui: Univ. Federico II | ||
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