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Identification of clinical phenotypes and disease trajectories in SLE using AI through a natural language processing framework.

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第一作者： Silvia Laura,Bosello

第一单位： Rheumatology and Clinical Immunology Unit, Fondazione Policlinico Universitario A. Gemelli - IRCCS, Rome, Italy.;Department of Geriatric and Orthopedic Sciences, Catholic University of the Sacred Heart, Rome, Italy.

作者： Silvia Laura,Bosello ^[1] ; Augusta,Ortolan ^[1] ; Lucia,Lanzo ^[2] ; Livia,Lilli ^[3] ; Laura,Antenucci ^[3] ; Pier Giacomo,Cerasuolo ^[1] ; Silvia,Piunno ^[1] ; Luca,Petricca ^[2] ; Maria Rita,Gigante ^[2] ; Viviana Antonella,Pacucci ^[2] ; Marco,Gorini ^[4] ; Gabriella,Castellino ^[4] ; Carlotta,Masciocchi ^[5] ; Jacopo,Lenkowicz ^[5] ; Stefano,Patarnello ^[5] ; Maria Antonietta,D'Agostino ^[1]

作者单位： Rheumatology and Clinical Immunology Unit, Fondazione Policlinico Universitario A. Gemelli - IRCCS, Rome, Italy.;Department of Geriatric and Orthopedic Sciences, Catholic University of the Sacred Heart, Rome, Italy. ^[1] Rheumatology and Clinical Immunology Unit, Fondazione Policlinico Universitario A. Gemelli - IRCCS, Rome, Italy. ^[2] Faculty of Medicine and Surgery, Catholic University of the Sacred Heart, Rome, Italy.;Real World Data Facility, Fondazione Policlinico Universitario A. Gemelli IRCCS, Rome, Italy. ^[3] AstraZeneca Italy, MIND, Milan, Italy. ^[4] Real World Data Facility, Fondazione Policlinico Universitario A. Gemelli IRCCS, Rome, Italy. ^[5]

关键词 SLE artificial intelligence (AI)disease trajectories electronic health records (EHRs)flares natural language processing (NLP)therapy