Machine Learning Model to Predict Graft Rejection After Kidney Transplantation.

Background: There are few predictive studies about early posttransplant outcomes taking into account baseline and posttransplant variables. The objective of this study was to create a predictive model for 30-day graft rejection using machine learning techniques.

Methods: Retrospective study with 1255 patients undergoing transplant from living and deceased donors at a tertiary health service in Brazil.

Medicinal plant use in primary health care: an integrative review.

Medicinal plant (MP) use supports comprehensiveness of care in Primary Health Care (PHC), enabling appreciation of popular knowledge and self-care. This integrative literature review aims to analyze researches that approach the insertion of using MP in PHC. PICO strategy was used as a guideline in search of evidence, reuniting 18 articles published between January 2015 and August 2020, in the Virtual Health Library and PubMed databases.