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Data Science in Healthcare

Data science is an interdisciplinary field that applies numerous techniques, such as machine learning, neural networks, and deep learning, to create value based on extracting knowledge and insights from available data. Advances in data science have a significant impact on healthcare. While advances...

詳細記述

保存先:
フォーマット: Online
言語:英語
出版事項: MDPI - Multidisciplinary Digital Publishing Institute 2022
主題:
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
thema EDItEUR::M Medicine and Nursing
thema EDItEUR::M Medicine and Nursing::MK Medical specialties, branches of medicine::MKG Pharmacology
オンライン･アクセス:ONIX_20220621_9783036539836_64
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