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Applications of Prediction Models
2008In this chapter, we consider several areas of application of prediction models in public health, clinical practice, and medical research. We use several small case studies for illustration.
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Structure prediction and modelling
Current Biology, 1992Cracking the second fundamental code of molecular biology (how the tertiary structure of a protein is determined by its amino acid sequence) remains an elusive goal. However, the impetus to establish credible approximations, if not a definitive solution to this relationship, has never been greater.
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Modeling and Prediction of Human Behavior
Neural Computation, 1999We propose that many human behaviors can be accurately described as a set of dynamic models (e.g., Kalman filters) sequenced together by a Markov chain. We then use these dynamic Markov models to recognize human behaviors from sensory data and to predict human behaviors over a few seconds time. To test the power of this modeling approach, we report an
Alex Pentland, Andrew Liu
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Harnessing the predictive power of preclinical models for oncology drug development
Nature Reviews Drug Discovery, 2021Alexander Honkala +2 more
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Predictive Resilience Modeling
2022 52nd Annual IEEE/IFIP International Conference on Dependable Systems and Networks - Supplemental Volume (DSN-S), 2022openaire +1 more source
Alternative animal models in predictive toxicology
Toxicology, 2022Yogeethaa Sivasanku +2 more
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Model Controlled Prediction: A Reciprocal Alternative of Model Predictive Control
IEEE/CAA Journal of Automatica Sinica, 2022Shen Li 0001 +2 more
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Statistical methods for validation of predictive models
Journal of Nuclear Cardiology, 2022Marcio A Diniz
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Selectivity in organocatalysis—From qualitative to quantitative predictive models
Wiley Interdisciplinary Reviews: Computational Molecular Science, 2021Alistair J Sterling +2 more
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