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Título de Acceso Abierto

Data Science in Healthcare

Resumen/Descripción – provisto por la editorial

No disponible.

Palabras clave – provistas por la editorial

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; n/a

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Información

Tipo de recurso:

libros

ISBN electrónico

978-3-0365-3984-3

País de edición

Suiza