Edgardo Abalos, Yanina Sguassero, Gillian Ml Gyte
Paracetamol/acetaminophen (single administration) for perineal pain in the early postpartum period
The Cochrane database of systematic reviews
technological innovations patient cohorts examined multiple views highdimensional multiscale biomedical data classify clinical phenotypes predict outcomes aim present approach analyzing multimodal data using unsupervised supervised sparse linear methods covid19 patient cohort prospective cohort study 149 adult patients conducted tertiary care academic center first used sparse canonical correlation analysis cca identify quantify relationships across different data modalities including viral genome sequencing imaging clinical data laboratory results used cooperative learning predict clinical outcome covid19 patients intensive care unit admission show serum biomarkers representing severe disease acute phase response correlate original wavelet radiomics features lll frequency channel corxu1 zv1 0596 p value 0001 among radiomics features histogrambased firstorder features reporting skewness kurtosis uniformity lowest negative whereas entropyrelated features highest positive coefficients moreover unsupervised analysis clinical data laboratory results gives insights distinct clinical phenotypes leveraging availability global viral genome databases demonstrate word2vec natural language processing model used viral genome encoding separates major sarscov2 variants also allows preservation phylogenetic relationships among quadruple model using word2vec encoding achieves better prediction results supervised task model yields area curve auc accuracy values 087 077 respectively study illustrates sparse cca analysis cooperative learning powerful techniques handling highdimensional multimodal data investigate multivariate associations unsupervised supervised tasks