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