Correctly interpreting predictive models can be tricky. One solution to this problem is to create interactive simulators, where users can manipulate the predictor variables and see...
machine learning and predictive modeling in R, you can set yourself apart in your field and propel your career to new heights.Course Highlights:Thoroughly grasp the fundamentals of Machine Learning, Cluster Analysis, and Prediction Models, moving seamlessly from theory to practice.Apply supervised mach...
The caret package, short for classification and regression training, contains numerous tools for developing predictive models using the rich set of models available in R. The package focuses on simplifying model training and tuning across a wide variety of modeling techniques. It also includes methods...
Researchers in computer science (CS) are using behavioral and linguistic cues from social media data to predict the presence of mood and psychosocial disorders. Since 2013, research can assess the presence of major depression1,2,3, suicidality4,5,6, eating disorders7,8, and schizophrenia9, amon...
The main purpose of this paper is to present the development of a set of predictive models for the viscosity and complex shear modulus of asphalt binders. The model development was aimed at overcoming the limitations of current models used in the Mechanistic-Empirical Pavement Design Guide (MEPDG...
Dashed lines showing the 95% confidence window are included in Figure 7.13. Usually linear regression models are reported giving the equation and R2. Confidence intervals and SE are generally not given, although there are exceptions (Chung and Hossain, 2008; Johnsen, Raij, Stevens, Lind, and ...
Accurate estimation of carrier probabilities of cancer susceptibility gene mutations is an important part of pre-test genetic counselling. Many predictive models are available but their applicability in the Asian population is uncertain. We evaluated the
Development of predictive pharmacokinetic simulation models for drug discovery This technology provides a breakthrough in in silico prediction of absorption and with its continued development and improvement, will aid drug discovery and... A D.,Norris,and,... - 《Journal of Controlled Release》 被引...
Internal validation of predictive models: efficiency of some procedures for logistic regression analysis. J Clin Epidemiol. 2001;54:774–81. Article CAS Google Scholar Fascelli M, Rais-Bahrami S, Sankineni S, Brown AM, George AK, Ho R, et al. Combined biparametric prostate magnetic ...
7). These observations suggest that combining multiple models together, predicting transcription, translation, and mRNA decay rates, is a viable route to improving accuracy. Surprisingly, in our set of forward engineered promoters characterized in vivo, we found five examples of very strong promoters ...