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The Convergence of Human and Artificial Intelligence on Clinical Care - Part I

This edited book contains twelve studies, large and pilots, in five main categories: (i) adaptive imputation to increase the density of clinical data for improving downstream modeling; (ii) machine-learning-empowered diagnosis models; (iii) machine learning models for outcome prediction; (iv) innova...

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Format: Online
Language:English
Published: MDPI - Multidisciplinary Digital Publishing Institute 2022
Subjects:
machine learning-enabled decision support system
improving diagnosis accuracy
Bayesian network
bariatric surgery
health-related quality of life
comorbidity
voice change
larynx cancer
machine learning
deep learning
voice pathology classification
imputation
electronic health records
EHR
laboratory measures
medical informatics
inflammatory bowel disease
C. difficile infection
osteoarthritis
complex diseases
healthcare
artificial intelligence
interpretable machine learning
explainable machine learning
septic shock
clinical decision support system
electronic health record
cerebrovascular disorders
stroke
SARS-CoV-2
COVID-19
cluster analysis
risk factors
ischemic stroke
outcome prediction
recurrent stroke
cardiac ultrasound
echocardiography
portable ultrasound
aneurysm surgery
temporary artery occlusion
clipping time
artificial neural network
digital imaging
monocytes
promonocytes and monoblasts
chronic myelomonocytic leukemia (CMML) and acute myeloid leukemia (AML) for acute monoblastic leukemia and acute monocytic leukemia
concordance between hematopathologists
mechanical ventilation
respiratory failure
ADHD
social media
Twitter
pharmacotherapy
stimulants
alpha-2-adrenergic agonists
non-stimulants
trust
passive adherence
human factors
thema EDItEUR::M Medicine and Nursing
Online Access:ONIX_20220321_9783036532967_54
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