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Physiology

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Causal Phenotype Discovery via Deep Networks.

AMIA ... Annual Symposium proceedings. AMIA Symposium
The rapid growth of digital health databases has attracted many researchers interested in using modern computational methods to discover and model patterns of health and illness in a research program known as computational phenotyping. Much of the wo...

["Chemistry of Concepts”and “Historical Sense”. On Philosophical Concept Formation].

Berichte zur Wissenschaftsgeschichte
"Chemistry of Concepts" and "Historical Sense". On Philosophical Concept Formation. The question concerning concepts and their relations to objects and words has had a long and controversial history. Recently, it is challenged by an anew turn towards...

Magnetic body alignment in migratory songbirds: a computer vision approach.

The Journal of experimental biology
Several invertebrate and vertebrate species have been shown to align their body relative to the geomagnetic field. Many hypotheses have been proposed to explain the adaptive significance of magnetic body alignment outside the context of navigation. H...

Incorporating higher order thinking and deep learning in a large, lecture-based human physiology course: can we do it?

Advances in physiology education
Large classes taught with didactic lectures and assessed with multiple-choice tests are commonly reported to promote lower order (LO) thinking and a surface approach (SA) to learning. Using a case study design, we hypothesized that incorporating inst...

Time-frequency time-space LSTM for robust classification of physiological signals.

Scientific reports
Automated analysis of physiological time series is utilized for many clinical applications in medicine and life sciences. Long short-term memory (LSTM) is a deep recurrent neural network architecture used for classification of time-series data. Here ...