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Personalized Predictive Modeling in Diabetes features
state-of-the-art methodologies and algorithmic approaches which
have been applied to predictive modeling of glucose concentration,
ranging from simple autoregressive models of the CGM time series to
multivariate nonlinear regression techniques of machine learning.
Developments in the field have been analyzed with respect to: (i)
feature set (univariate or multivariate), (ii) regression technique
(linear or non-linear), (iii) learning mechanism (batch or
sequential), (iv) development and testing procedure and (v) scaling
properties. In addition, simulation models of meal-derived glucose
absorption and insulin dynamics and kinetics are covered, as an
integral part of glucose predictive models. This book will help
engineers and clinicians to: select a regression technique which
can capture both linear and non-linear dynamics in glucose
metabolism in diabetes, and which exhibits good generalization
performance under stationary and non-stationary conditions; ensure
the scalability of the optimization algorithm (learning mechanism)
with respect to the size of the dataset, provided that multiple
days of patient monitoring are needed to obtain a reliable
predictive model; select a features set which efficiently
represents both spatial and temporal dependencies between the input
variables and the glucose concentration; select simulation models
of subcutaneous insulin absorption and meal absorption; identify an
appropriate validation procedure, and identify realistic
performance measures.
It's the year 2080. The People's Republic of China, or is filled
with smog. China is producing a huge percentage of the world's
food. However, with all the smog covering the country, the crops
and animals begin to die from lack of sunlight and oxygen. China
shortly finds a solution to clearing the smog, however it is moved
to the neighbouring country, India. Because of this, India declares
war on China, with the help of their allies, Taiwan and the United
States. Who wins this war? How will China recover? And how does it
end? Kris and his best friend, Tommy, with the help of a few
others, find the solution to end the war and to start regrowing
plants, until something tragic happens... This story comes in two
separate books: Polluted Asia 2080 and A Trip to Mars
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