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...

詳細記述

保存先:

書誌詳細
フォーマット:	Online
言語:	英語
出版事項:	MDPI - Multidisciplinary Digital Publishing Institute 2022
主題:	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
オンライン･アクセス:	ONIX_20220321_9783036532967_54
タグ:	タグ追加タグなし, このレコードへの初めてのタグを付けませんか!

このレコードへの初めてのコメントを付けませんか!

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

類似資料