Nour El Houda Sayah Ben Aissa, Ahmed Korichi, Abderrahmane Lakas, Chaker Abdelaziz Kerrache, Carlos T Calafate
Assessing robustness to adversarial attacks in attention-based networks: Case of EEG-based motor imagery classification
SLAS technology
study aimed evaluating clinicoetiological profile altered mental status ams among elderly patients making recommendations regarding management based etiologies thereby improving morbidity mortality outcomes retrospective observational study conducted teaching cum tertiary care hospital two years data july 2017 june 2019 extracted medical records section 172 eligible participants analyzed using descriptive statistics clinical outcomes demographic profiles various etiological factors total 1784 elderly inpatients age 60 years screened records 172 eligible elderly ams patients found eligible study male elderly population consisted 110 6395 female elderly 62 3604 mean age study population 6782 years etiological factors ams study population neurological 4709 n 81 infection 3023 n 52 metabolicendocrine 1627 n 28 pulmonary 232 n 4 fall 174 n 3 toxic cause 116 n 2 psychiatric illness 116 n 2 total mortality rate 930 n 16 main etiological factors ams elderly population predominantly neurological septic metabolic causes factors preventable treatable training physicians staff physicians developing countries trained managing fragile group population multiple comorbidities decentralizing geriatrics healthcare setups