[Role of the IPA in the empowerment of the patient with schizophrenia and use of incentive advance directives in psychiatry]. / Rôle de l'IPA dans l'empowerment du patient atteint de schizophrénie et usage des directives anticipées incitatives en psychiatrie.

Interruption of treatment and lack of follow-up are the main causes of relapses and iterative emergency hospitalizations of people with schizophrenia. Recognition of mental illness, adherence to therapy and the ability to attribute psychotic phenomena to the pathology promote patient empowerment. In terms of APN's skills, it seems interesting to understand how the proactive supervision of people suffering from schizophrenia by this professional can meet the empowerment needs of this population.

Pathogenesis-based treatments in primary Sjogren's syndrome using artificial intelligence and advanced machine learning techniques: a systematic literature review.

Big data analysis has become a common way to extract information from complex and large datasets among most scientific domains. This approach is now used to study large cohorts of patients in medicine. This work is a review of publications that have used artificial intelligence and advanced machine learning techniques to study physio pathogenesis-based treatments in pSS. A systematic literature review retrieved all articles reporting on the use of advanced statistical analysis applied to the study of systemic autoimmune diseases (SADs) over the last decade. An automatic bibliography screening method has been developed to perform this task. The program called BIBOT was designed to fetch and analyze articles from the pubmed database using a list of keywords and Natural Language Processing approaches. The evolution of trends in statistical approaches, sizes of cohorts and number of publications over this period were also computed in the process. In all, 44077 abstracts were screened and 1017 publications were analyzed. The mean number of selected articles was 101.0 (S.D. 19.16) by year, but increased significantly over the time (from 74 articles in 2008 to 138 in 2017). Among them only 12 focused on pSS but none of them emphasized on the aspect of pathogenesis-based treatments. To conclude, medicine progressively enters the era of big data analysis and artificial intelligence, but these approaches are not yet used to describe pSS-specific pathogenesis-based treatment. Nevertheless, large multicentre studies are investigating this aspect with advanced algorithmic tools on large cohorts of SADs patients.