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Mashup Score: 0Registration Information | ANA2023 - 9 month(s) ago
Important: Please review the registration rates and types to be sure you are registering under the correct category. Please note that the registration site is optimized for Chrome 43 and higher, Firefox 38 and higher, and Internet Explorer 10 and higher.
Source: 2023.myana.orgCategories: Latest Headlines, NeurologyTweet
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Mashup Score: 0Levelling the learning ground for healthcare professionals across the world through SIMBA: a mixed-methods study - 10 month(s) ago
Objectives To compare the acceptance, strengths and limitations of Simulation via Instant Messaging-Birmingham Advance (SIMBA) in low/middle-income countries (LMICs) and high-income countries (HICs), on healthcare professionals’ professional development and learning. Design Cross-sectional study. Setting Online (either mobile or computer/ laptop or both). Participants 462 participants (LMICs:…
Source: BMJ OpenCategories: General Medicine Journals and Societies, Latest HeadlinesTweet
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Mashup Score: 0Combining NLP and Machine Learning for Differential Diagnosis of COPD Exacerbation Using Emergency Room Data - PubMed - 10 month(s) ago
Chronic Obstructive Pulmonary Disease (COPD) exacerbation exhibits a set of overlapping symptoms with various forms of cardiovascular disease, which makes its early identification challenging. Timely identification of the underlying condition that caused acute admission of COPD patients in the emerg …
Source: PubMedCategories: Latest Headlines, PulmonologyTweet
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Mashup Score: 1Differentially private knowledge transfer for federated learning - Nature Communications - 10 month(s) ago
To ensure the privacy of processed data, federated learning approaches involve local differential privacy techniques which however require communicating a large amount of data that needs protection. The authors propose here a framework that uses selected small data to transfer knowledge in federated learning with privacy guarantees.
Source: NatureCategories: General Medicine News, Latest HeadlinesTweet
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Mashup Score: 0JCI - Machine learning links unresolving secondary pneumonia to mortality in patients with severe pneumonia, including COVID-19 - 1 year(s) ago
Clinical MedicineIn-Press PreviewInfectious diseasePulmonology Open Access | 10.1172/JCI170682 Nikolay S. Markov,1 Thomas Stoeger,2 Anna E. Pawlowski,3 Mengjia Kang,1 Prasanth Nannapaneni,3 Rogan A. Grant,1 Chiagozie Pickens,1 James M. Walter,1 Jacqueline M. Kruser,4 Luke V. Rasmussen,5 Daniel Schneider,3…
Source: www.jci.orgCategories: Latest Headlines, PulmonologyTweet
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Mashup Score: 2Login - 1 year(s) ago
© Copyright 2017 by The European Society of Thoracic Surgeons Registered No. 10523525 Registered Address: PO Box 159, Exeter, EX2 5SH, UK Designed & Developed by LightMedia Terms & Conditions Privacy Policy …
Source: www.ests.orgCategories: Cardiac Surgery, Latest HeadlinesTweet
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Mashup Score: 3Separation of scales and a thermodynamic description of feature learning in some CNNs - Nature Communications - 1 year(s) ago
In the quest to understand how deep neural networks work, identification of slow and fast variables is a desirable step. Inspired by tools from theoretical physics, the authors propose a simplified description of finite deep neural networks based on two matrix variables per layer and provide analytic predictions for feature learning effects.
Source: NatureCategories: General Medicine News, Latest HeadlinesTweet
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Mashup Score: 8More Variability Found to Help Learning - Neuroscience News - 1 year(s) ago
Variable stimuli may lead to better learning performance and outcomes under novel circumstances, a new study reports.
Source: Neuroscience NewsCategories: Latest Headlines, NeurologyTweet
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Mashup Score: 0
BackgroundTuberculous spondylitis (TS) and brucellar spondylitis (BS) are commonly observed in spinal infectious diseases, which are initially caused by bacteremia. BS is easily misdiagnosed as TS, especially in underdeveloped regions of northwestern China with less sensitive medical equipment. Nevertheless, a rapid and reliable diagnostic tool remains to be developed and a clinical diagnostic…
Source: FrontiersCategories: Latest Headlines, PulmonologyTweet
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Mashup Score: 0Discriminating Acute Respiratory Distress Syndrome from other forms of respiratory failure via iterative machine learning - 1 year(s) ago
Acute Respiratory Distress Syndrome (ARDS) is associated with high morbidity and mortality. Identification of ARDS enables lung protective strategies, quality improvement interventions, and clinical trial enrolment, but remains challenging particularly …
Source: PubMed Central (PMC)Categories: Latest Headlines, PulmonologyTweet
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