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ORCIDArtificial Intelligence in Medicine, Volume 81
Volume 81, September 2017
- John H. Holmes, Lucia Sacchi
, Riccardo Bellazzi, Niels Peek:
Artificial Intelligence in Medicine AIME 2015. 1-2 - Germain Forestier, François Petitjean, Laurent Riffaud, Pierre Jannin:
Automatic matching of surgeries to predict surgeons' next actions. 3-11 - Nir Nissim, Yuval Shahar, Yuval Elovici, George Hripcsak, Robert Moskovitch:
Inter-labeler and intra-labeler variability of condition severity classification models using active and passive learning methods. 12-32 - Allan Tucker, Yuanxi Li, David Garway-Heath:
Reprint of "Updating Markov models to integrate cross-sectional and longitudinal studies". 33-40 - Marco Pota, Elisa Scalco, Giuseppe Sanguineti, Alessia Farneti, Giovanni Mauro Cattaneo, Giovanna Rizzo, Massimo Esposito:
Early prediction of radiotherapy-induced parotid shrinkage and toxicity based on CT radiomics and fuzzy classification. 41-53 - Aleksander Sadikov, Vida Groznik, Martin Mozina, Jure Zabkar, Dag Nyholm, Mevludin Memedi, Ivan Bratko, Dejan Georgiev:
Feasibility of spirography features for objective assessment of motor function in Parkinson's disease. 54-62 - Ling Jiang, Christopher C. Yang:
User recommendation in healthcare social media by assessing user similarity in heterogeneous network. 63-77 - Veruska Zamborlini, Marcos Da Silveira, Cédric Pruski, Annette ten Teije, Edwin Geleijn, Marike van der Leeden, Martijn Stuiver, Frank van Harmelen:
Analyzing interactions on combining multiple clinical guidelines. 78-93
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