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An increasing number of machine learning models have been deployed in domains with high stakes such as finance and healthcare. Despite their superior performances, many models are black boxes in nature which are hard to explain. There are growing efforts for researchers to develop methods to interpret these black-box models. Post hoc explanations based
Zhou, Zhengze, Hooker, Giles, Wang, Fei
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Performance Evaluation of Classification Algorithms to Detect Bee Swarming Events Using Sound
This paper presents a machine-learning approach for detecting swarming events. Three different classification algorithms are tested: The k-Nearest Neighbors algorithm (k-NN) and Support Vector Machine (SVM), and a newly proposed by the authors, U-Net ...
Kiromitis I. Dimitrios +6 more
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Background More knowledge is needed regarding the perceptions of healthcare professionals when encountering empowered patients and informal caregivers in clinical settings.
Therese Scott Duncan +6 more
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Silicate-Based Electro-Conductive Inks for Printing Soft Electronics and Tissue Engineering
Hydrogel-based bio-inks have been extensively used for developing three-dimensional (3D) printed biomaterials for biomedical applications. However, poor mechanical performance and the inability to conduct electricity limit their application as wearable ...
Sadaf Samimi Gharaie +6 more
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"My first experiment was to initiate my PhD research on the synthesis of soluble conjugated conducting polymers under supervision of John W. White with a purely chemical engineering background. My biggest inspiration is NASA's Apollo lunar mission program in the 1960s …" Find out more about Liming Dai in his Author Profile.
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Sense-Making, Mutual Learning and Cognitive Shifts When Applying Systems Thinking in Public Health – Examples From Sweden; Comment on “What Can Policy-Makers Get Out of Systems Thinking? Policy Partners’ Experiences of a Systems-Focused Research Collaboration in Preventive Health” [PDF]
It is widely acknowledged that systems thinking (ST) should be implemented in the area of public health, but how this should be done is less clear. In this commentary we focus on sense-making and double-loop learning processes when using ST and soft ...
Monica E. Nyström +2 more
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Background Chronic care involves multiple activities that can be performed by individuals and healthcare staff as well as by other actors and artifacts, such as eHealth services.
Ulrica von Thiele Schwarz +6 more
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Lifelong learning and nurses’ continuing professional development, a metasynthesis of the literature
Background Continuing professional development (CPD) is central to nurses’ lifelong learning and constitutes a vital aspect for keeping nurses’ knowledge and skills up-to-date. While we know about the need for nurses’ continuing professional development,
Mandlenkosi Mlambo +2 more
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Augmented reality in healthcare education: an integrative review [PDF]
Background. The effective development of healthcare competencies poses great educational challenges. A possible approach to provide learning opportunities is the use of augmented reality (AR) where virtual learning experiences can be embedded in a real ...
Egui Zhu +3 more
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Objective To analyse and describe general practitioners’ perceptions of the notion of a ‘personal responsibility for health’. Design Interview study, phenomenographic analysis. Setting Swedish primary health care.
Joar Björk +3 more
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