Klaus B Von Pressentin, Angela De Sá, Paddy Pampallis, Tasleem Ras
Cultivating leaders for primary health care: A revised approach for transformative development
African journal of primary health care & family medicine
health literacy refers ability individuals obtain understand health information use maintain promote health paper manages make predictions toward development degree society use big datadriven statistical learning method actually results analyzed discovering latent rules massive public textual contents result paper proposes deep information fusionbased smart prediction approach health literacy specifically latent dirichlet allocation lda convolutional neural network cnn structures utilized basic backbone understand semantic features textual contents feature learning results lda cnn mapped prediction results via following multidimension computing structures constructing cnn model input health information model feature extraction cnn model automatically learn valuable features raw health information multilayer convolution pooling operations characteristics may include lifestyle habits physiological indicators biochemical indicators etc reflecting patients health status disease risk extracting features train cnn model training set evaluate performance model using test set goal step optimize parameters model accurately predict health information use common evaluation indicators accuracy precision recall etc evaluate performance model last simulation experiments conducted realworld data collected famous international universities case study analyzes health literacy difference china developed countries prediction results obtained case study proposed approach proved effective discussion prediction results