Development of a dynamic type 2 diabetes risk prediction tool: a UK Biobank study

no code implementations • 20 Apr 2021 • Nikola Dolezalova, Massimo Cairo, Alex Despotovic, Adam T. C. Booth, Angus B. Reed, Davide Morelli, David Plans

We developed a predictive 10-year type 2 diabetes risk score using 301 features derived from 472, 830 participants in the UK Biobank dataset while excluding any features which are not easily obtainable by a smartphone.

feature selection

Decoding Hidden Markov Models Faster Than Viterbi Via Online Matrix-Vector (max, +)-Multiplication

no code implementations • 30 Nov 2015 • Massimo Cairo, Gabriele Farina, Romeo Rizzi

In this paper, we present a novel algorithm for the maximum a posteriori decoding (MAPD) of time-homogeneous Hidden Markov Models (HMM), improving the worst-case running time of the classical Viterbi algorithm by a logarithmic factor.