Can big-data analysis of clinical audits help to find new risk factors and predict adverse

events associated with colorectal cancer surgery?

Lead by researcher at Amsterdam UMC, we participated in a cohort study that found that machine learning applied to a clinical audit containing 62,501 records and 103 preoperative variables of surgically treated patients with colorectal cancer outperformed conventional scores in predicting 30-day postoperative mortality but with similar performance as a preexisting case-mix model. New risk factors for several other adverse events may be identified.

This study was published recently in the leading medical scientific journal JAMA.