This paper is in the following e-collection/theme issue:

Digital Health, Telehealth and e-Innovation in Clinical Settings (340) Clinical Information and Decision Making (1315)

Published on in Vol 2, No 1 (2013): Jan-Jun

Physio-Environmental Sensing and Live Modeling

Physio-Environmental Sensing and Live Modeling

Physio-Environmental Sensing and Live Modeling

Authors of this article:

Filippo Castiglione1 ;   Vanessa Diaz2 ;   Andrea Gaggioli3, 4 ;   Pietro Liò5 ;   Claudia Mazzà6 ;   Emanuela Merelli7 ;   Carel G.M. Meskers8 ;   Francesco Pappalardo9 ;   Rainer von Ammon10
Article Authors Cited by (7) Tweetations (1) Metrics

Journals

  1. Castiglione F, Pappalardo F, Bianca C, Russo G, Motta S. Modeling Biology Spanning Different Scales: An Open Challenge. BioMed Research International 2014;2014:1 View
  2. Kurnianingsih K, Nugroho L, Widyawan W, Lazuardi L, Prabuwono A, Mantoro T. Personalized adaptive system for elderly care in smart home using fuzzy inference system. International Journal of Pervasive Computing and Communications 2018;14(3/4):210 View
  3. Stolfi P, Valentini I, Palumbo M, Tieri P, Grignolio A, Castiglione F. Potential predictors of type-2 diabetes risk: machine learning, synthetic data and wearable health devices. BMC Bioinformatics 2020;21(S17) View
  4. Stolfi P, Castiglione F. Emulating complex simulations by machine learning methods. BMC Bioinformatics 2021;22(S14) View