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Big Data in Dental Research and Oral Healthcare
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
Opac: Controlla la disponibilità qui
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  
Basel, Switzerland, : MDPI - Multidisciplinary Digital Publishing Institute, 2021
Materiale a stampa
Lo trovi qui: Univ. Federico II
Opac: Controlla la disponibilità qui
Recent Advances and Applications of Machine Learning in Metal Forming Processes
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
Opac: Controlla la disponibilità qui