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| http://dx.doi.org/10.5152/akd.2015.6127 | DOI Listing |
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Causal Inference With Observational Data and Unobserved Confounding Variables.
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Department of Ecology and Evolutionary Biology, University of Colorado Boulder, Boulder, Colorado, USA.
Experiments have long been the gold standard for causal inference in Ecology. As Ecology tackles progressively larger problems, however, we are moving beyond the scales at which randomised controlled experiments are feasible. To answer causal questions at scale, we need to also use observational data -something Ecologists tend to view with great scepticism.
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the Department of Pathology, The Ohio State University, Columbus (Parwani).
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Autoencoder based data clustering for identifying anomalous repetitive hand movements, and behavioral transition patterns in children.
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Institute of Digital Technologies for Personalized Healthcare (MeDiTech), University of Applied Sciences and Arts of Southern Switzerland, Via Pobiette, Manno, 6928, Manno, Switzerland.
The analysis of repetitive hand movements and behavioral transition patterns holds particular significance in detecting atypical behaviors in early child development. Early recognition of these behaviors holds immense promise for timely interventions, which can profoundly impact a child's well-being and future prospects. However, the scarcity of specialized medical professionals and limited facilities has made detecting these behaviors and unique patterns challenging using traditional manual methods.
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