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Activity Number:
537 - Section on Statistical Computing P.M. Roundtable Discussion (Added Fee)
Type: Roundtables
Date/Time: Wednesday, July 31, 2019 : 12:30 PM to 1:50 PM
Sponsor: Section on Statistical Computing
Abstract #307394
Title: Wearables, Digital Medicine and Data Science
Author(s): Dandan Wang* and Xiaohua Douglas Zhang
Companies: Faculty of Health Sciences, Univerity of Macau and University of Macau
Keywords: Digital medicine; wearables; data science; sample entropy; complexity; fractality

In recent years, a variety of wearable sensor technologies, such as smart watches/wristbands, smart clothing and activity trackers, have emerged. They aim at continuously monitoring physiological signals, such as heart rate, respiration, glucose, skin conductivity, sleep, temperature, posture, brain activity, movement, oxygen level, muscle activity, blood pressure, eye tracking and ingestion. These continuously monitoring devices, coupling with the fast-growing genomic technologies and integrating with mobile phone, internet and artificial intelligence, give birth to a new medicine paradigm --- the digital medicine paradigm. The digital medicine paradigm empowers data science to a new stage. What is digital medicine? What is digital health? How does the fast development of wearables affect digital medicine? The digital health/medicine generates a huge amount of data. How do we should develop/adopt theories and methods in data science, especially artificial intelligence, for digital health/medicine? In this round-table, we should discuss around these questions with focus on the concept of digital medicine, the comparison of various emerging wearables and related data science.

Authors who are presenting talks have a * after their name.

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