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Circulation. Cardiovascular quality and outcomes
Research Hotspot & Journal Scope - Networks


Circulation. Cardiovascular quality and outcomes - DOI: 10.1161/CIRCOUTCOMES.118.005122
Privacy-Preserving Generative Deep Neural Networks Support Clinical Data Sharing

Brett K Beaulieu-Jones · Zhiwei Steven Wu · Chris Williams · Ran Lee · Sanjeev P Bhavnani · James Brian Byrd · Casey S Greene ·

Medicine
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Circulation. Cardiovascular quality and outcomes - DOI: 10.1161/CIRCOUTCOMES.118.005114
Recurrent Neural Networks for Early Detection of Heart Failure From Longitudinal Electronic Health Record Data: Implications for Temporal Modeling With Respect to Time Before Diagnosis, Data Density, Data Quantity, and Data Type.

Robert Chen · Walter F Stewart · Jimeng Sun · Kenney Ng · Xiaowei Yan ·

Medicine
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In this paper, we extend and generalize the spectral theory of undirected networks towards directed networks by introducing the Hermitian normalized Laplacian matrix for directed networks.

Hermitian normalized Laplacian matrix for directed networks [10.1016/J.INS.2019.04.049]


Contextual factors such as social, community, and online networks mattered to young adults, and individual factors such as level of awareness, stigma, emotions, and environmental factors emerged as critical.

A Conceptual Model of Mental Health Service Utilization Among Young Adults at Clinical High-Risk for Developing Psychosis [10.1037/prj0000336]


Currently, the acoustic analysis of combustion systems generally consists of simplified impedance networks.

Impedance measurements of acoustically nonlinear engine components [10.1121/1.5101871]


Beamforming networks are realized in microstrip, GCPW and SIW technologies.

Phased Array Antenna for Bi-Static Simultaneous Transmit and Receive (STAR) Systems [10.1109/PAST43306.2019.9021027]


We demonstrate through simulations that the new trust-aware consensus algorithm can effectively detect Byzantine adversaries and can exclude them from consensus iterations even in sparse networks with connectivity less than 2f+1, where f is the number of adversaries.

Trust is the Cure to Distributed Consensus with Adversaries [10.1109/MED.2019.8798516]


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