Use of machine learning in emergency department outcome prediction using electronic health record data

Falls in older adults represent a major cause of distress, injury, and mortality. The UK is experiencing population ageing and increases in multi-morbidity. An understanding of how multi-morbidity impacts falls risk in care home residents was analysed. Explored associations between individual chronic conditions,frailty measures, and interactions between the chronic conditions with the fall presentations outcome. The findings indicate that multi-morbidity impacts falls risk differently depending on the combination of chronic health conditions experienced. However, the role of multi-morbidity in falls risk is complex and in need of further research. Improvements in standardised reporting of fall events at the care home level and linking of this information with electronic health records is the next step for the development of effective falls risk prediction models.