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In a test application, we identify AD- and age-related modules from the latent matrices using an explainable artificial intelligence and regression model. These results show that the JDSNMF model is effective in identifying latent features having a complex interplay of potential biological signatures. To analyze the main risk factors associated with third and fourth degree postpartum perineal tears in women attended to in our obstetrics service. An observational, retrospective, hospital cohort study was carried out in women whose deliveri