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

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Palabras clave – provistas por la editorial

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

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Información

Tipo de recurso:

libros

ISBN electrónico

978-3-0365-3295-0

País de edición

Suiza