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 |
Hulsen Tim | ||
Basel, : MDPI - Multidisciplinary Digital Publishing Institute, 2022 | ||
Materiale a stampa | ||
Lo trovi qui: Univ. Federico II | ||
|
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 | ||
|
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 | ||
|