View clinical trials related to Mortality Rate.
Filter by:This study seeks to utilise retrospective patient data to train machine learning algorithms to predict the short term mortality and morbidity after an emergency laparotomy. Data will be collected via the Electronic Health records system at the Queen Mary Hospital Hong Kong. Machine learning models will be compared and the best-performing one will be explored for further optimization and deployment. Upon completion, we hope that this platform will aid clinicians to identify high risk patients and aid clinical decisions and peri-operative planning, with the aim to reduce mortality and morbidity in this high risk procedure.