Seyyed Hamid Hashemi, Fatemeh Saki, Shiva Borzouei, Rashed Bawand, Alireza Soltanian
Comprehensive comparison of clinicoradiological, laboratory, and prognostic factors of community-acquired pneumonia in diabetic and nondiabetic hospitalized patients
Turkish journal of medical sciences
context patients age 65 years likely experience higher severity mortality rates populations covid19 clinicians need assistance supporting decisions regarding management patients artificial intelligence ai help regard however lack explainabilitydefined ability understand evaluate internal mechanism algorithmcomputational process human termsof ai one major challenges application health care know little application explainable ai xai health care objective study aimed evaluate feasibility development explainable machine learning models predict covid19 severity among older adults design quantitative machine learning methods setting longterm care facilities within province quebec participants patients 65 years older presented hospitals positive polymerase chain reaction test covid19 intervention used xaispecific methods eg ebm machine learning methods ie random forest deep forest xgboost well explainable approaches lime shap pimp anchor mentioned machine learning methods outcome measures classification accuracy area receiver operating characteristic curve auc results age distribution patients n986 546 male 845195 years bestperforming models performance follows deep forest using xai agnostic methods lime 9736 auc 9165 acc anchor 9736 auc 9165 acc pimp 9693 auc 9165 acc found alignment identified reasoning models predictions clinical studies findingsabout correlation different variables diabetes dementia severity covid19 population conclusions use explainable machine learning models predict severity covid19 among older adults feasible obtained highperformance level well explainability prediction covid19 severity population studies required integrate models decision support system facilitate management diseases covid19 primary health care providers evaluate usability among