Introduction The prolonged or incorrect use of facial masks, respirators and glasses or visors results in friction, pressure and shear forces that constantly act on the facial skin, leading to lesions and dermatitis. Objective To develop and validate algorithms to guide health professionals in the correct use of personal protective equipment (PPE) and indicate preventive measures against skin injuries caused by inappropriate use during the COVID-19 pandemic. Methods For the develoment of the algorithms, an integrative literature review was performed using the following databases: PubMed, SciELO, and LILACS. The algorithms were evaluated by 59 health professionals (nurses, doctors, and physiotherapists), using the Delphi technique. A content validity index (CVI) was used for the statistical analysis. Results The experts classified the items of the algorithms from fully inadequate to fully adequate in the first round of consultations, and from partially adequate to fully adequate in the second round. The overall CVI values were of 0.83 and 1.0 in the first and second rounds respectively. Conclusion The algorithms validated by the expert panel can be used by health professionals when donning and doffing PPE, and to prevent the facial-skin lesions caused by their use.

Objectives The present study aimed to develop an application to guide healthcare professionals on using personal protective equipment (PPE) during the COVID-19 pandemic and prevent and treat skin lesions caused by these devices. Methods This is a study on technological production. The framework for application development consisted in the following phases: Phase 1–“Design: identification of application development requirements;” Phase 2–“Application prototype development”: including an integrative literature review in major databases; Phase 3–“Application construction”: elaboration of the decision tree, algorithm, database structuring, and software development; Phase 4–“Transition”: application functionality test. Result Our application Simplifica EPI is an innovative technology; this software is a tool to assist healthcare professionals in using PPE. In addition, it describes how to prevent and care for skin lesions caused by PPE. Simplifica EPI has 25 screens and 32 images. It will be available on the Google Play Store after its registration with the Brazilian National Institute of Industrial Property. Conclusions After an integrative literature review, the application Simplifica EPI was developed as an innovative technology with great potential for use by healthcare professionals.

Modelos de previsão de desligamento de clientes visam detectar clientes com alta probabilidade de cancelamento do contrato, com base no uso dos serviços oferecidos. Propomos uma abordagem temporal para a etapa de rotulagem, baseada na redução da frequência de uso dos serviços, por meio do comportamento de cada cliente. Também propomos uma arquitetura de rede neural temporal para a tarefa. A abordagem foi avaliada em um conjunto de dados reais, fornecido por uma empresa brasileira do setor financeiro. A rede neural convolucional temporal alcançou uma acurácia de 82, 63%, uma sensibilidade de 61, 5% e uma precisão de 41, 58%, superando outros classificadores tradicionais (XG-Boost e Floresta Aleatória).

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