Colum Crowe, John Barton, Brendan O'Flynn, Salvatore Tedesco
Association between wrist-worn free-living accelerometry and hand grip strength in middle-aged and older adults
Aging clinical and experimental research
study aimed design machine learningbased prediction framework predict presence absence systemic lupus erythematosus sle cohort omani patients data 219 patients 2006 2019 extracted sultan qaboos university hospitals electronic records among 138 patients sle remaining 81 rheumatologic diseases clinical demographic features analysed focus early stages disease recursive feature selection implemented choose informative features catboost classification algorithm utilised predict sle shap explainer algorithm applied top catboost model provide individual prediction reasoning validated rheumatologists catboost achieved area receiver operating characteristic curve score 095 sensitivity 92 shap algorithm identified four clinical features alopecia renal disorders acute cutaneous lupus haemolytic anaemia patients age greatest contribution prediction explainable framework predict sle patients provide reasoning prediction designed validated framework enables clinicians implement early interventions lead positive healthcare outcomes