Friday, December 18, 2020

Method finds hidden warning signals in measurements collected over time

Researchers have developed a deep learning-based algorithm to detect anomalies in time series data. The technology could provide advance warning of potential failures in systems ranging from satellites to computer data centers.

from Latest Science News -- ScienceDaily https://ift.tt/3alg1MQ

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Study finds untreated sleep apnea doubles Parkinson’s risk

A massive veteran study found a strong connection between untreated sleep apnea and a higher chance of Parkinson’s. CPAP users had much lowe...