A framework for understanding, designing, developing and evaluating learning health systems
Abstract Introduction A Learning Health System is not a technical project. It is the evolution of an existing health system into one capable of learning from every patient. This paper outlines a recently published framework intended to aid the understanding, design, development and evaluation of Learning Health Systems.
Tom Foley, Luke Vale
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Dataset of Sentinel-1 SAR and Sentinel-2 RGB-NDVI imagery. [PDF]
Cardona-Mesa AA+6 more
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Characterizing Time-Series Roving Artisanal and Small-Scale Gold Mining Activities in Indonesia Using Sentinel-1 Data. [PDF]
Kimijima S, Sakakibara M, Nagai M.
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Earthquake Rapid Mapping Using Ascending and Descending Sentinel-1 TOPSAR Interferograms
Oscar Mora+3 more
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Coregistration of Interferometric Stacks of Sentinel-1 TOPS Data [PDF]
Nestor Yague-Martinez+2 more
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Time series analysis of Sentinel 1 A SAR data to retrieve annual rice area maps and long-term dynamics of start of season. [PDF]
Sellaperumal P+10 more
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Exploiting time series of Sentinel-1 and Sentinel-2 to detect grassland mowing events using deep learning with reject region. [PDF]
Komisarenko V+3 more
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Mass Processing of Sentinel-1 Images for Maritime Surveillance [PDF]
Carlos Santamaría+5 more
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Abstract Merkel cell carcinoma (MCC) is a rare, highly aggressive cutaneous neuroendocrine carcinoma. Controversy exists regarding optimal management of MCC as high‐quality randomized studies and clinical trials are limited, and physicians are bound to interpret highly heterogeneous, retrospective literature in their clinical practice. Furthermore, the
Daniela Duarte‐Bateman+6 more
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Active Deformation Across the Western Anatolian Extensional Province (Türkiye) From Sentinel-1 InSAR. [PDF]
Diercks M+4 more
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