Researchers from China University of Mining and Technology Detail Findings in Cancer (cancer chaotic mode, fractal-fractional calculus, existence and uniqueness, Grunwald-Letnikov nonstandard finite difference method, stability).

A research study conducted by China University of Mining and Technology explores the development of health literacy in society using a big data-driven statistical learning method. The study proposes a deep information fusion-based smart prediction approach for health literacy, utilizing latent Dirichlet allocation (LDA) and convolutional neural network (CNN) structures to understand semantic features of textual contents. The study concludes that the proposed approach is effective in predicting health information. The research provides valuable insights into health literacy differences between China and developed countries. [Extracted from the article]