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020 _a9789400758247
024 7 _a10.1007/978-94-007-5824-7
_2doi
040 _dES-MaUEC
050 4 _aR858
_b.C546 2013
100 1 _aCleophas, Ton J.
_0Local
_986087
245 1 0 _aMachine Learning in Medicine
_cby Ton J. Cleophas, Aeilko H. Zwinderman.
260 _aDordrecht, Netherlands
_bSpringer International Publishing
_c2013
300 _a1 recurso en línea (XV, 265 p.)
_b44 ilustraciones
336 _aTexto (visual)
_btxt
_2rdacontent
337 _aelectrónico
_bc
_2rdamedia
338 _arecurso electrónico
_bcr
_2rdacarrier
505 0 _aPreface -- 1 Introduction to machine learning -- 2 Logistic regression for health profiling -- 3 Optimal scaling: discretization -- 4 Optimal scaling: regularization including ridge, lasso, and elastic net regression -- 5 Partial correlations -- 6 Mixed linear modelling -- 7 Binary partitioning -- 8 Item response modelling -- 9 Time-dependent predictor modelling -- 10 Seasonality assessments -- 11 Non-linear modelling -- 12 Artificial intelligence, multilayer Perceptron modelling -- 13 Artificial intelligence, radial basis function modelling -- 14 Factor analysis -- 15 Hierarchical cluster analysis for unsupervised data -- 16 Partial least squares -- 17 Discriminant analysis for Supervised data -- 18 Canonical regression -- 19 Fuzzy modelling -- 20 Conclusions. Index. Â{u2802}Â{u2802}Â{u2802}Â{u2802}Â{u2802}Â{u2802}Â{u2802}Â{u2802}Â{u2802}Â{u2802}Â{u2802}Â{u2802}Â{u2802}Â{u2802}Â{u2802}Â{u2802}Â{u2802}Â{u2802}Â{u2802}Â{u2802}Â{u2802}Â{u2802}Â{u2802}Â{u2802}Â{u2802}Â{u2802}Â{u2802}Â{u2802}Â{u2802}Â{u2802}Â{u2802}Â{u2802}Â{u2802}Â{u2802}Â{u2802}Â{u2802}Â{u2802}Â{u2802}Â{u2802}Â{u2802}Â{u2802}Â Â{u2802}Â{u2802}Â{u2802}Â{u2802}Â{u2802}Â{u2802}Â{u2802}Â{u2802}Â{u2802}Â{u2802}Â{u2802}Â{u2802}Â{u2802}Â{u2802}Â{u2802}Â{u2802}Â{u2802}Â{u2802}Â{u2802}Â{u2802}Â{u2802}Â{u2802}Â{u2802}Â{u2802}Â{u2802}Â{u2802}Â{u2802}Â{u2802}Â{u2802}Â{u2802}Â{u2802}Â{u2802}Â{u2802}Â{u2802}Â{u2802}Â{u2802}Â{u2802}Â{u2802}Â{u2802}Â{u2802}Â{u2820} Â{u2802}Â{u2802}Â{u2802}Â{u2802}Â{u2802}Â{u2802}Â{u2802}Â{u2802}Â{u2802}Â{u2802}Â{u2802}Â{u2802}Â{u2802}Â{u2802}Â{u2802}Â{u2802}Â{u2802}Â{u2802}Â{u2802}Â{u2802}Â{u2802}Â{u2802}Â{u2802}Â{u2802}Â{u2802}Â{u2802}Â{u2802}Â{u2802}Â{u2802}Â{u2802}Â{u2802}Â{u2802}Â{u2802}Â{u2802}Â{u2802}Â{u2802}Â{u2802}Â{u2802}Â{u2802}Â{u2802}Â{u2802}Â Â{u2802}Â{u2802}Â{u2802}Â{u2802}Â{u2802}Â{u2802}Â{u2802}Â{u2802}Â{u2802}Â{u2802}Â{u2802}Â{u2802}Â{u2802}Â{u2802}Â{u2802}Â{u2802}Â{u2802}Â{u2802}Â{u2802}Â{u2802}Â{u2802}Â{u2802}Â{u2802}Â{u2802}Â{u2802}Â{u2802}Â{u2802}Â{u2802}Â{u2802}Â{u2802}Â{u2802}Â{u2802}Â{u2802}Â{u2802}Â{u2802}Â{u2802}Â{u2802}Â{u2802}Â{u2802}Â{u2802}Â{u282E}.
520 _aMachine learning is a novel discipline concerned with the analysis of large and multiple variables data. It involves computationally intensive methods, like factor analysis, cluster analysis, and discriminant analysis. It is currently mainly the domain of computer scientists, and is already commonly used in social sciences, marketing research, operational research and applied sciences. It is virtually unused in clinical research. This is probably due to the traditional belief of clinicians in clinical trials where multiple variables are equally balanced by the randomization process and are not further taken into account. In contrast, modern computer data files often involve hundreds of variables like genes and other laboratory values, and computationally intensive methods are required. This book was written as a hand-hold presentation accessible to clinicians, and as a must-read publication for those new to the methods.
650 7 _2embne
_9421371
_aInteligencia artificial en medicina
650 7 _2embne
_9166090
_aAprendizaje automático
700 1 _aZwinderman, Aeilko H.
_0Local
_986088
856 4 0 _uhttps://go.openathens.net/redirector/universidadeuropea.es?url=https://link.springer.com/book/10.1007/978-94-007-5824-7
_zAcceso a este recurso digital (usuarios Universidad Europea de Madrid)
907 _a.b12823909
_b10-10-17
_c01-10-14
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