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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
Twitter
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
Hulsen Tim  
Basel, : MDPI - Multidisciplinary Digital Publishing Institute, 2022
Materiale a stampa
Lo trovi qui: Univ. Federico II
Opac: Controlla la disponibilità qui
Recent Developments in Smart Healthcare
Recent Developments in Smart Healthcare
Autore Tie Qiu (Ed.)
Pubbl/distr/stampa MDPI - Multidisciplinary Digital Publishing Institute, 2018
Descrizione fisica 1 electronic resource (362 p.)
Soggetto non controllato health IT
human-computer interaction
Machine learning
smart medicine
smart healthcare
emotion recognition
public health
pattern recognition
ISBN 3-03842-645-8
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Record Nr. UNINA-9910251392903321
Tie Qiu (Ed.)  
MDPI - Multidisciplinary Digital Publishing Institute, 2018
Materiale a stampa
Lo trovi qui: Univ. Federico II
Opac: Controlla la disponibilità qui
Training, Education and Research in COVID-19 Times: Innovative Methodological Approaches, Best Practices, and Case Studies
Training, Education and Research in COVID-19 Times: Innovative Methodological Approaches, Best Practices, and Case Studies
Autore Lytras Miltiadis
Pubbl/distr/stampa Basel, Switzerland, : MDPI - Multidisciplinary Digital Publishing Institute, 2021
Descrizione fisica 1 electronic resource (278 p.)
Soggetto topico Technology: general issues
Soggetto non controllato job satisfaction
sustainable health
medical training
accreditation
satisfaction
health governance
Saudi Commission for Health Specialties
smart healthcare
residents training
quality
COVID-19
medical education assurance
training
governance
framework
best practices
healthcare
population health research
public health research
research methods
the COVID-19 pandemic
online education
online courses
the satisfaction of students
higher education
preventive behaviors
theory of planned behavior
subjective norms
pandemic
educational process
digital education
management change
student behavior
student attitude
organizational speed
dynamic capability
ambidexterity
R&D organization
young adults
hybrid learning
remote teaching
educational spaces
tertiary education
Austria
mixed methods
post-digital
eLearning
flipped classroom
ARCS model
teaching method
international cooperation
psychophysiological standard
professional-defining qualities
specialist professiogram
environmental engineer
employee psychophysiological profile
psychophysiological status
education for sustainable development
MOOCs
MOOC
sustainable education
IS success model
expectation-confirmation model
gamification
continued usage intention
course performance
student performance
Chinese universities
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Altri titoli varianti Training, Education and Research in COVID-19 Times
Record Nr. UNINA-9910557350503321
Lytras Miltiadis  
Basel, Switzerland, : MDPI - Multidisciplinary Digital Publishing Institute, 2021
Materiale a stampa
Lo trovi qui: Univ. Federico II
Opac: Controlla la disponibilità qui